diff --git a/StoDIG/Facies_classification_StoDIG.ipynb b/StoDIG/Facies_classification_StoDIG.ipynb new file mode 100644 index 0000000..9dbbef3 --- /dev/null +++ b/StoDIG/Facies_classification_StoDIG.ipynb @@ -0,0 +1,817 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Facies classification using Convolutional Neural Networks #\n", + "## Team StoDIG - Statoil Deep-learning Interest Group ##\n", + "### _[David Wade](https://no.linkedin.com/in/david-wade-79918023), [John Thurmond](https://www.linkedin.com/in/john-thurmond-098b774) & [Eskil Kulseth Dahl](https://www.linkedin.com/in/eskil-k-dahl-87a94679)_###" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In this python notebook we propose a facies classification model, building on the simple Neural Network solution proposed by LA_Team in order to outperform the prediction model proposed in the [predicting facies from well logs challenge](https://github.com/seg/2016-ml-contest). \n", + "\n", + "Given the limited size of the training data set, Deep Learning is not likely to exceed the accuracy of results from refined Machine Learning techniques (such as Gradient Boosted Trees). However, we chose to use the opportunity to advance our understanding of Deep Learning network design, and have enjoyed participating in the contest. With a substantially larger training set and perhaps more facies ambiguity, Deep Learning could be a preferred approach to this sort of problem.\n", + "\n", + "\n", + "We use three key innovations:\n", + " - Augmenting the input data with 1st and 2nd order derivatives\n", + " - Inserting a convolutional layer as the first layer in the Neural Network\n", + " - Adding Dropout regularization to prevent overfitting" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Problem Modeling\n", + "----\n", + "\n", + "The dataset we will use comes from a class excercise from The University of Kansas on [Neural Networks and Fuzzy Systems](http://www.people.ku.edu/~gbohling/EECS833/). This exercise is based on a consortium project to use machine learning techniques to create a reservoir model of the largest gas fields in North America, the Hugoton and Panoma Fields. For more info on the origin of the data, see [Bohling and Dubois (2003)](http://www.kgs.ku.edu/PRS/publication/2003/ofr2003-50.pdf) and [Dubois et al. (2007)](http://dx.doi.org/10.1016/j.cageo.2006.08.011). \n", + "\n", + "The dataset we will use is log data from nine wells that have been labeled with a facies type based on oberservation of core. We will use this log data to train a classifier to predict facies types. \n", + "\n", + "This data is from the Council Grove gas reservoir in Southwest Kansas. The Panoma Council Grove Field is predominantly a carbonate gas reservoir encompassing 2700 square miles in Southwestern Kansas. This dataset is from nine wells (with 4149 examples), consisting of a set of seven predictor variables and a rock facies (class) for each example vector and validation (test) data (830 examples from two wells) having the same seven predictor variables in the feature vector. Facies are based on examination of cores from nine wells taken vertically at half-foot intervals. Predictor variables include five from wireline log measurements and two geologic constraining variables that are derived from geologic knowledge. These are essentially continuous variables sampled at a half-foot sample rate. \n", + "\n", + "The seven predictor variables are:\n", + "* Five wire line log curves include [gamma ray](http://petrowiki.org/Gamma_ray_logs) (GR), [resistivity logging](http://petrowiki.org/Resistivity_and_spontaneous_%28SP%29_logging) (ILD_log10),\n", + "[photoelectric effect](http://www.glossary.oilfield.slb.com/en/Terms/p/photoelectric_effect.aspx) (PE), [neutron-density porosity difference and average neutron-density porosity](http://petrowiki.org/Neutron_porosity_logs) (DeltaPHI and PHIND). Note, some wells do not have PE.\n", + "* Two geologic constraining variables: nonmarine-marine indicator (NM_M) and relative position (RELPOS)\n", + "\n", + "The nine discrete facies (classes of rocks) are: \n", + "1. Nonmarine sandstone\n", + "2. Nonmarine coarse siltstone \n", + "3. Nonmarine fine siltstone \n", + "4. Marine siltstone and shale \n", + "5. Mudstone (limestone)\n", + "6. Wackestone (limestone)\n", + "7. Dolomite\n", + "8. Packstone-grainstone (limestone)\n", + "9. Phylloid-algal bafflestone (limestone)\n", + "\n", + "These facies aren't discrete, and gradually blend into one another. Some have neighboring facies that are rather close. Mislabeling within these neighboring facies can be expected to occur. The following table lists the facies, their abbreviated labels and their approximate neighbors.\n", + "\n", + "Facies |Label| Adjacent Facies\n", + ":---: | :---: |:--:\n", + "1 |SS| 2\n", + "2 |CSiS| 1,3\n", + "3 |FSiS| 2\n", + "4 |SiSh| 5\n", + "5 |MS| 4,6\n", + "6 |WS| 5,7\n", + "7 |D| 6,8\n", + "8 |PS| 6,7,9\n", + "9 |BS| 7,8" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup\n", + "---\n", + "\n", + "Check we have all the libraries we need, and import the modules we require. Note that we have used the Theano backend for Keras, and to achieve a reasonable training time we have used an NVidia K20 GPU." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: pandas in /home/dawad/anaconda3/lib/python3.5/site-packages\n", + "Requirement already satisfied: python-dateutil>=2 in /home/dawad/anaconda3/lib/python3.5/site-packages (from pandas)\n", + "Requirement already satisfied: pytz>=2011k in /home/dawad/anaconda3/lib/python3.5/site-packages (from pandas)\n", + "Requirement already satisfied: numpy>=1.7.0 in /home/dawad/anaconda3/lib/python3.5/site-packages (from pandas)\n", + "Requirement already satisfied: six>=1.5 in /home/dawad/anaconda3/lib/python3.5/site-packages (from python-dateutil>=2->pandas)\n", + "Requirement already satisfied: scikit-learn in /home/dawad/anaconda3/lib/python3.5/site-packages\n", + "Requirement already satisfied: keras in /home/dawad/anaconda3/lib/python3.5/site-packages\n", + "Requirement already satisfied: six in /home/dawad/anaconda3/lib/python3.5/site-packages (from keras)\n", + "Requirement already satisfied: pyyaml in /home/dawad/anaconda3/lib/python3.5/site-packages (from keras)\n", + "Requirement already satisfied: theano in /home/dawad/anaconda3/lib/python3.5/site-packages (from keras)\n", + "Requirement already satisfied: numpy>=1.7.1 in /home/dawad/anaconda3/lib/python3.5/site-packages (from theano->keras)\n", + "Requirement already satisfied: scipy>=0.11 in /home/dawad/anaconda3/lib/python3.5/site-packages (from theano->keras)\n", + "Requirement already satisfied: sklearn in /home/dawad/anaconda3/lib/python3.5/site-packages\n", + "Requirement already satisfied: scikit-learn in /home/dawad/anaconda3/lib/python3.5/site-packages (from sklearn)\n" + ] + } + ], + "source": [ + "%%sh\n", + "pip install pandas\n", + "pip install scikit-learn\n", + "pip install keras\n", + "pip install sklearn" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Using Theano backend.\n", + "Using gpu device 0: Tesla K20c (CNMeM is enabled with initial size: 20.0% of memory, cuDNN 5105)\n", + "/home/dawad/anaconda3/lib/python3.5/site-packages/theano/sandbox/cuda/__init__.py:600: UserWarning: Your cuDNN version is more recent than the one Theano officially supports. If you see any problems, try updating Theano or downgrading cuDNN to version 5.\n", + " warnings.warn(warn)\n" + ] + } + ], + "source": [ + "from __future__ import print_function\n", + "import time\n", + "import numpy as np\n", + "%matplotlib inline\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.colors as colors\n", + "from mpl_toolkits.axes_grid1 import make_axes_locatable\n", + "from keras.preprocessing import sequence\n", + "from keras.models import Sequential\n", + "from keras.constraints import maxnorm\n", + "from keras.optimizers import SGD\n", + "from keras.optimizers import Adam\n", + "from keras.optimizers import Adamax\n", + "from keras.optimizers import Nadam\n", + "from keras.layers import Dense, Dropout, Activation, Convolution1D, Flatten, Reshape, MaxPooling1D, GaussianNoise\n", + "from keras.wrappers.scikit_learn import KerasClassifier\n", + "from keras.utils import np_utils\n", + "from sklearn.model_selection import cross_val_score\n", + "from sklearn.model_selection import KFold , StratifiedKFold\n", + "from classification_utilities import display_cm, display_adj_cm\n", + "from sklearn.metrics import confusion_matrix, f1_score\n", + "from sklearn import preprocessing\n", + "from sklearn.model_selection import GridSearchCV" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Data ingest\n", + "---\n", + "We load the training and testing data to preprocess it for further analysis, filling the missing data values in the PE field with zero and proceeding to normalize the data that will be fed into our model." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "filename = 'train_test_data.csv'\n", + "data = pd.read_csv(filename)\n", + "data.head(12)\n", + "\n", + "# Set 'Well Name' and 'Formation' fields as categories\n", + "data['Well Name'] = data['Well Name'].astype('category')\n", + "data['Formation'] = data['Formation'].astype('category')\n", + "\n", + "# Fill missing values and normalize for 'PE' field\n", + "data['PE'] = data['PE'].fillna(value=0)\n", + "mean_pe = data['PE'].mean()\n", + "std_pe = data['PE'].std()\n", + "data['PE'] = (data['PE']-mean_pe)/std_pe\n", + "\n", + "# Normalize the rest of fields (GR, ILD_log10, DelthaPHI, PHIND,NM_M,RELPOS)\n", + "correct_facies_labels = data['Facies'].values\n", + "feature_vectors = data.drop(['Formation'], axis=1)\n", + "well_labels = data[['Well Name', 'Facies']].values\n", + "data_vectors = feature_vectors.drop(['Well Name', 'Facies'], axis=1).values\n", + "scaler = preprocessing.StandardScaler().fit(data_vectors)\n", + "scaled_features = scaler.transform(data_vectors)\n", + "data_out = np.hstack([well_labels, scaled_features])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Split data into training data and blind data, and output as Numpy arrays" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "def preprocess(data_out):\n", + " \n", + " data = data_out\n", + " well_data = {}\n", + " well_names = ['SHRIMPLIN', 'ALEXANDER D', 'SHANKLE', 'LUKE G U', 'KIMZEY A', 'CROSS H CATTLE', \n", + " 'NOLAN', 'Recruit F9', 'NEWBY', 'CHURCHMAN BIBLE', 'STUART', 'CRAWFORD']\n", + " for name in well_names:\n", + " well_data[name] = [[], []]\n", + "\n", + " for row in data:\n", + " well_data[row[0]][1].append(row[1])\n", + " well_data[row[0]][0].append(list(row[2::]))\n", + "\n", + " chunks = []\n", + " chunks_test = []\n", + " chunk_length = 1 \n", + " chunks_facies = []\n", + " wellID=0.0\n", + " for name in well_names:\n", + " \n", + " if name not in ['STUART', 'CRAWFORD']:\n", + " test_well_data = well_data[name]\n", + " log_values = np.array(test_well_data[0])\n", + " facies_values = np.array(test_well_data[1])\n", + " for i in range(log_values.shape[0]):\n", + " toAppend = np.concatenate((log_values[i:i+1, :], np.asarray(wellID).reshape(1,1)), axis=1)\n", + " chunks.append(toAppend)\n", + " chunks_facies.append(facies_values[i])\n", + " else:\n", + " test_well_data = well_data[name]\n", + " log_values = np.array(test_well_data[0])\n", + " for i in range(log_values.shape[0]):\n", + " toAppend = np.concatenate((log_values[i:i+1, :], np.asarray(wellID).reshape(1,1)), axis=1)\n", + " chunks_test.append(toAppend)\n", + " \n", + " wellID = wellID + 1.0\n", + " \n", + " chunks_facies = np.array(chunks_facies, dtype=np.int32)-1\n", + " X_ = np.array(chunks)\n", + " X = np.zeros((len(X_),len(X_[0][0]) * len(X_[0])))\n", + " for i in range(len(X_)):\n", + " X[i,:] = X_[i].flatten()\n", + " \n", + " X_test = np.array(chunks_test)\n", + " X_test_out = np.zeros((len(X_test),len(X_test[0][0]) * len(X_test[0])))\n", + " for i in range(len(X_test)):\n", + " X_test_out[i,:] = X_test[i].flatten()\n", + " y = np_utils.to_categorical(chunks_facies)\n", + " return X, y, X_test_out\n", + "\n", + "X_train_in, y_train, X_test_in = preprocess(data_out)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Data Augmentation\n", + "---\n", + "\n", + "It is physically reasonable to expect 1st and 2nd order derivatives of logs to play an important role in determining facies. To save the CNN the effort of learning convolution kernels to represent these features to the rest of the Neural Network we compute them here (for training and validation data). Further, we expand the input data to be acted on by the convolutional layer." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(4149, 7, 24)\n", + "(830, 7, 24)\n" + ] + } + ], + "source": [ + "conv_length = 7\n", + "\n", + "# Reproducibility\n", + "np.random.seed(7) \n", + "# Load data\n", + "\n", + "def addGradients(input):\n", + " output = input\n", + " for i in range(8):\n", + " grad = np.gradient(output[:,i])\n", + " gradT = np.reshape(grad,(grad.size,1))\n", + " output = np.concatenate((output, gradT), axis=1)\n", + "\n", + " grad2 = np.gradient(grad)\n", + " grad2T = np.reshape(grad2,(grad2.size,1))\n", + " output = np.concatenate((output, grad2T), axis=1)\n", + "\n", + " return output\n", + "\n", + "\n", + "def expand_dims(input):\n", + " r = int((conv_length-1)/2)\n", + " l = input.shape[0]\n", + " n_input_vars = input.shape[1]\n", + " output = np.zeros((l, conv_length, n_input_vars))\n", + " for i in range(l):\n", + " for j in range(conv_length):\n", + " for k in range(n_input_vars):\n", + " output[i,j,k] = input[min(i+j-r,l-1),k]\n", + " return output\n", + "\n", + "X_train = np.empty((0,conv_length,24), dtype=float)\n", + "X_test = np.empty((0,conv_length,24), dtype=float)\n", + "\n", + "wellId = 0.0\n", + "for i in range(10):\n", + " X_train_subset = X_train_in[X_train_in[:, 8] == wellId][:,0:8]\n", + " X_train_subset = addGradients(X_train_subset)\n", + " X_train_subset = expand_dims(X_train_subset)\n", + " X_train = np.concatenate((X_train,X_train_subset),axis=0)\n", + " wellId = wellId + 1.0\n", + " \n", + "for i in range(2):\n", + " X_test_subset = X_test_in[X_test_in[:, 8] == wellId][:,0:8]\n", + " X_test_subset = addGradients(X_test_subset)\n", + " X_test_subset = expand_dims(X_test_subset)\n", + " X_test = np.concatenate((X_test,X_test_subset),axis=0)\n", + " wellId = wellId + 1.0\n", + " \n", + "print(X_train.shape)\n", + "print(X_test.shape)\n", + "\n", + "# Obtain labels\n", + "y_labels = np.zeros((len(y_train),1))\n", + "for i in range(len(y_train)):\n", + " y_labels[i] = np.argmax(y_train[i])\n", + "y_labels = y_labels.astype(int)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Convolutional Neural Network\n", + "#### We build a CNN with the following layers:\n", + " - Dropout layer on input\n", + " - One 1D convolutional layer, with MaxPooling\n", + " - Series of Dropout & Fully-Connected layers, of parameterizable length" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Set parameters\n", + "input_dim = 24\n", + "output_dim = 9\n", + "n_per_batch = 128\n", + "epochs = 200\n", + "\n", + "def dnn_model(init_dropout_rate=0.5, main_dropout_rate=0.45, hidden_dim_1=192, hidden_dim_2=96, max_norm=10, n_dense=3, sigma=0.0, nb_conv=32):\n", + " # Define the model\n", + " model = Sequential()\n", + " model.add(Dropout(init_dropout_rate, input_shape=(conv_length,input_dim,)))\n", + " model.add(Convolution1D(nb_conv, conv_length, border_mode='same', activation='relu', input_shape=(conv_length,input_dim), input_length=conv_length))\n", + " model.add(MaxPooling1D(pool_length=2, stride=None, border_mode='same'))\n", + " model.add(Flatten())\n", + " model.add(Dropout(main_dropout_rate, input_shape=(nb_conv*conv_length,)))\n", + " model.add(Dense(hidden_dim_1, input_dim=nb_conv*conv_length, init='uniform', activation='relu', W_constraint=maxnorm(max_norm)))\n", + " for i in range(n_dense):\n", + " if (i==1): \n", + " model.add(Dropout(main_dropout_rate, input_shape=(hidden_dim_1,)))\n", + " model.add(Dense(hidden_dim_2, input_dim=hidden_dim_1, init='uniform', activation='relu', W_constraint=maxnorm(max_norm)))\n", + " else:\n", + " model.add(Dropout(main_dropout_rate, input_shape=(hidden_dim_2,)))\n", + " model.add(Dense(hidden_dim_2, input_dim=hidden_dim_2, init='uniform', activation='relu', W_constraint=maxnorm(max_norm)))\n", + " model.add(Dense(output_dim, init='normal', activation='softmax'))\n", + " \n", + " optimizerNadam = Nadam(lr=0.002, beta_1=0.9, beta_2=0.999, epsilon=1e-08, schedule_decay=0.004)\n", + " model.compile(loss='categorical_crossentropy', optimizer=optimizerNadam, metrics=['accuracy'])\n", + " return model" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### We train the CNN and evaluate it on precision/recall." + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "collapsed": false, + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "____________________________________________________________________________________________________\n", + "Layer (type) Output Shape Param # Connected to \n", + "====================================================================================================\n", + "dropout_131 (Dropout) (None, 7, 24) 0 dropout_input_27[0][0] \n", + "____________________________________________________________________________________________________\n", + "convolution1d_27 (Convolution1D) (None, 7, 32) 5408 dropout_131[0][0] \n", + "____________________________________________________________________________________________________\n", + "maxpooling1d_27 (MaxPooling1D) (None, 4, 32) 0 convolution1d_27[0][0] \n", + "____________________________________________________________________________________________________\n", + "flatten_27 (Flatten) (None, 128) 0 maxpooling1d_27[0][0] \n", + "____________________________________________________________________________________________________\n", + "dropout_132 (Dropout) (None, 128) 0 flatten_27[0][0] \n", + "____________________________________________________________________________________________________\n", + "dense_131 (Dense) (None, 192) 24768 dropout_132[0][0] \n", + "____________________________________________________________________________________________________\n", + "dropout_133 (Dropout) (None, 192) 0 dense_131[0][0] \n", + "____________________________________________________________________________________________________\n", + "dense_132 (Dense) (None, 96) 18528 dropout_133[0][0] \n", + "____________________________________________________________________________________________________\n", + "dropout_134 (Dropout) (None, 96) 0 dense_132[0][0] \n", + "____________________________________________________________________________________________________\n", + "dense_133 (Dense) (None, 96) 9312 dropout_134[0][0] \n", + "____________________________________________________________________________________________________\n", + "dropout_135 (Dropout) (None, 96) 0 dense_133[0][0] \n", + "____________________________________________________________________________________________________\n", + "dense_134 (Dense) (None, 96) 9312 dropout_135[0][0] \n", + "____________________________________________________________________________________________________\n", + "dense_135 (Dense) (None, 9) 873 dense_134[0][0] \n", + "====================================================================================================\n", + "Total params: 68,201\n", + "Trainable params: 68,201\n", + "Non-trainable params: 0\n", + "____________________________________________________________________________________________________\n", + "Load time = 1\n", + "Train time = 40 seconds\n", + "Test time = 1 seconds\n", + "\n", + "Model Report\n", + "-Accuracy: 0.679441\n", + "-Adjacent Accuracy: 0.952278\n", + "\n", + "Confusion Matrix\n", + " Pred SS CSiS FSiS SiSh MS WS D PS BS Total\n", + " True\n", + " SS 201 66 1 268\n", + " CSiS 44 773 121 2 940\n", + " FSiS 1 247 525 1 6 780\n", + " SiSh 2 4 223 4 28 3 7 271\n", + " MS 6 5 36 114 83 4 48 296\n", + " WS 1 42 121 325 10 83 582\n", + " D 1 2 7 121 10 141\n", + " PS 11 7 9 235 19 394 11 686\n", + " BS 7 35 143 185\n", + "\n", + "Precision 0.82 0.71 0.78 0.72 0.46 0.47 0.77 0.67 0.93 0.69\n", + " Recall 0.75 0.82 0.67 0.82 0.39 0.56 0.86 0.57 0.77 0.68\n", + " F1 0.78 0.76 0.72 0.77 0.42 0.51 0.81 0.62 0.84 0.68\n" + ] + } + ], + "source": [ + "# Load the model\n", + "t0 = time.time()\n", + "model_dnn = dnn_model()\n", + "model_dnn.summary()\n", + "t1 = time.time()\n", + "print(\"Load time = %d\" % (t1-t0) )\n", + "\n", + "#Train model\n", + "t0 = time.time()\n", + "model_dnn.fit(X_train, y_train, batch_size=n_per_batch, nb_epoch=epochs, verbose=0)\n", + "t1 = time.time()\n", + "print(\"Train time = %d seconds\" % (t1-t0) )\n", + "\n", + "\n", + "# Predict Values on Training set\n", + "t0 = time.time()\n", + "y_predicted = model_dnn.predict( X_train , batch_size=n_per_batch, verbose=2)\n", + "t1 = time.time()\n", + "print(\"Test time = %d seconds\" % (t1-t0) )\n", + "\n", + "# Print Report\n", + "\n", + "# Format output [0 - 8 ]\n", + "y_ = np.zeros((len(y_train),1))\n", + "for i in range(len(y_train)):\n", + " y_[i] = np.argmax(y_train[i])\n", + "\n", + "y_predicted_ = np.zeros((len(y_predicted), 1))\n", + "for i in range(len(y_predicted)):\n", + " y_predicted_[i] = np.argmax( y_predicted[i] )\n", + " \n", + "# Confusion Matrix\n", + "conf = confusion_matrix(y_, y_predicted_)\n", + "\n", + "def accuracy(conf):\n", + " total_correct = 0.\n", + " nb_classes = conf.shape[0]\n", + " for i in np.arange(0,nb_classes):\n", + " total_correct += conf[i][i]\n", + " acc = total_correct/sum(sum(conf))\n", + " return acc\n", + "\n", + "adjacent_facies = np.array([[1], [0,2], [1], [4], [3,5], [4,6,7], [5,7], [5,6,8], [6,7]])\n", + "facies_labels = ['SS', 'CSiS', 'FSiS', 'SiSh', 'MS','WS', 'D','PS', 'BS']\n", + "\n", + "def accuracy_adjacent(conf, adjacent_facies):\n", + " nb_classes = conf.shape[0]\n", + " total_correct = 0.\n", + " for i in np.arange(0,nb_classes):\n", + " total_correct += conf[i][i]\n", + " for j in adjacent_facies[i]:\n", + " total_correct += conf[i][j]\n", + " return total_correct / sum(sum(conf))\n", + "\n", + "# Print Results\n", + "print (\"\\nModel Report\")\n", + "print (\"-Accuracy: %.6f\" % ( accuracy(conf) ))\n", + "print (\"-Adjacent Accuracy: %.6f\" % ( accuracy_adjacent(conf, adjacent_facies) ))\n", + "print (\"\\nConfusion Matrix\")\n", + "display_cm(conf, facies_labels, display_metrics=True, hide_zeros=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### We display the learned 1D convolution kernels" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(7, 1, 24, 32)\n" + ] + }, + { + "data": { + "image/png": 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MzNYDW4FbgfNCCG+RwPGwl1O9T1Ot350ey/8nMc/tu6jepyW93udbre/QWj9Y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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "print(model_dnn.layers[1].get_weights()[0].shape)\n", + "\n", + "fig, ax = plt.subplots(figsize=(12,6))\n", + "\n", + "plt.subplot(421)\n", + "plt.imshow(model_dnn.layers[1].get_weights()[0][:,0,0,:], interpolation='none')\n", + "plt.subplot(422)\n", + "plt.imshow(model_dnn.layers[1].get_weights()[0][:,0,1,:], interpolation='none')\n", + "plt.subplot(423)\n", + "plt.imshow(model_dnn.layers[1].get_weights()[0][:,0,2,:], interpolation='none')\n", + "plt.subplot(424)\n", + "plt.imshow(model_dnn.layers[1].get_weights()[0][:,0,3,:], interpolation='none')\n", + "plt.subplot(425)\n", + "plt.imshow(model_dnn.layers[1].get_weights()[0][:,0,4,:], interpolation='none')\n", + "plt.subplot(426)\n", + "plt.imshow(model_dnn.layers[1].get_weights()[0][:,0,5,:], interpolation='none')\n", + "plt.subplot(427)\n", + "plt.imshow(model_dnn.layers[1].get_weights()[0][:,0,6,:], interpolation='none')\n", + "plt.subplot(428)\n", + "plt.imshow(model_dnn.layers[1].get_weights()[0][:,0,7,:], interpolation='none')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### In order to avoid overfitting, we evaluate our model by running a 5-fold stratified cross-validation routine." + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Cross Validation time = 187\n", + " Cross Validation Results\n", + "[ 0.56385542 0.53975903 0.54578313 0.45421687 0.52472859]\n", + "0.525668608609\n" + ] + } + ], + "source": [ + "# Cross Validation\n", + "def cross_validate():\n", + " t0 = time.time()\n", + " estimator = KerasClassifier(build_fn=dnn_model, nb_epoch=epochs, batch_size=n_per_batch, verbose=0)\n", + " skf = StratifiedKFold(n_splits=5, shuffle=True)\n", + " results_dnn = cross_val_score(estimator, X_train, y_train, cv= skf.get_n_splits(X_train, y_train))\n", + " t1 = time.time()\n", + " print(\"Cross Validation time = %d\" % (t1-t0) )\n", + " print(' Cross Validation Results')\n", + " print( results_dnn )\n", + " print(np.mean(results_dnn))\n", + "\n", + "cross_validate()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Prediction\n", + "---\n", + "To predict the STUART and CRAWFORD blind wells we do the following:" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "collapsed": false + }, + "source": [ + "#### Set up a plotting function to display the logs & facies." + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# 1=sandstone 2=c_siltstone 3=f_siltstone \n", + "# 4=marine_silt_shale 5=mudstone 6=wackestone 7=dolomite\n", + "# 8=packstone 9=bafflestone\n", + "facies_colors = ['#F4D03F', '#F5B041','#DC7633','#6E2C00', '#1B4F72','#2E86C1', '#AED6F1', '#A569BD', '#196F3D']\n", + "\n", + "#facies_color_map is a dictionary that maps facies labels\n", + "#to their respective colors\n", + "facies_color_map = {}\n", + "for ind, label in enumerate(facies_labels):\n", + " facies_color_map[label] = facies_colors[ind]\n", + "\n", + "def label_facies(row, labels):\n", + " return labels[ row['Facies'] -1]\n", + "\n", + "def make_facies_log_plot(logs, facies_colors):\n", + " #make sure logs are sorted by depth\n", + " logs = logs.sort_values(by='Depth')\n", + " cmap_facies = colors.ListedColormap(\n", + " facies_colors[0:len(facies_colors)], 'indexed')\n", + " \n", + " ztop=logs.Depth.min(); zbot=logs.Depth.max()\n", + " \n", + " cluster=np.repeat(np.expand_dims(logs['Facies'].values,1), 100, 1)\n", + " \n", + " f, ax = plt.subplots(nrows=1, ncols=6, figsize=(8, 12))\n", + " ax[0].plot(logs.GR, logs.Depth, '-g')\n", + " ax[1].plot(logs.ILD_log10, logs.Depth, '-')\n", + " ax[2].plot(logs.DeltaPHI, logs.Depth, '-', color='0.5')\n", + " ax[3].plot(logs.PHIND, logs.Depth, '-', color='r')\n", + " ax[4].plot(logs.PE, logs.Depth, '-', color='black')\n", + " im=ax[5].imshow(cluster, interpolation='none', aspect='auto',\n", + " cmap=cmap_facies,vmin=1,vmax=9)\n", + " \n", + " divider = make_axes_locatable(ax[5])\n", + " cax = divider.append_axes(\"right\", size=\"20%\", pad=0.05)\n", + " cbar=plt.colorbar(im, cax=cax)\n", + " cbar.set_label((17*' ').join([' SS ', 'CSiS', 'FSiS', \n", + " 'SiSh', ' MS ', ' WS ', ' D ', \n", + " ' PS ', ' BS ']))\n", + " cbar.set_ticks(range(0,1)); cbar.set_ticklabels('')\n", + " \n", + " for i in range(len(ax)-1):\n", + " ax[i].set_ylim(ztop,zbot)\n", + " ax[i].invert_yaxis()\n", + " ax[i].grid()\n", + " ax[i].locator_params(axis='x', nbins=3)\n", + " \n", + " ax[0].set_xlabel(\"GR\")\n", + " ax[0].set_xlim(logs.GR.min(),logs.GR.max())\n", + " ax[1].set_xlabel(\"ILD_log10\")\n", + " ax[1].set_xlim(logs.ILD_log10.min(),logs.ILD_log10.max())\n", + " ax[2].set_xlabel(\"DeltaPHI\")\n", + " ax[2].set_xlim(logs.DeltaPHI.min(),logs.DeltaPHI.max())\n", + " ax[3].set_xlabel(\"PHIND\")\n", + " ax[3].set_xlim(logs.PHIND.min(),logs.PHIND.max())\n", + " ax[4].set_xlabel(\"PE\")\n", + " ax[4].set_xlim(logs.PE.min(),logs.PE.max())\n", + " ax[5].set_xlabel('Facies')\n", + " \n", + " ax[1].set_yticklabels([]); ax[2].set_yticklabels([]); ax[3].set_yticklabels([])\n", + " ax[4].set_yticklabels([]); ax[5].set_yticklabels([])\n", + " ax[5].set_xticklabels([])\n", + " f.suptitle('Well: %s'%logs.iloc[0]['Well Name'], fontsize=14,y=0.94)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Run the model on the blind data\n", + " - Output a CSV\n", + " - Plot the wells in the notebook" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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Ge+QyISGBJUuWsGvXLsqWLZs6JMKMWJxNlnNgGLB7t/7EWby4fiOaEUcuFhwc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fyw7wc8f/ak7bK27Lm457XH/vTTTyZUmjnMSaupuHwZFi8WcULRolCsmBg0u3IF+vSBvXshNhb6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eqiMVTnztqZRNKbh1pGS17mVIuiKOTLl4+tW7dy8eJFO6tyLBaNR2oq/Oc/8Prr0K6dqOWr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E9/r16wAUKVKEoKAgRo4cSVBQEIGBgZn+cCiENXOYf9mUUrQo2YJmJZqx6Mgi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Vq1hDgwFK6uSpvlrl2Vx7duKbPBq1fDvHlKCRUhfEvMe++9R9OmTenbty+LFy/GysrsJYHA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\nGEhQUBA+Pj6yQ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wcgguXChQvj7Oz8/HB0dCSHiRouGJ1ff4WePUWqwokTULKk1hpJTERS\nUhIHDhxg69atbNu2jZ07d/LgwQNq1KjBvHnzaNmyJXny5NFaTYkk3ejkU9lwTGkyhSYLmlB9VnVW\ntF1BrbdkiSJzpUkTsLcXm9xk4CsxNjly5MDd3R13d3dAbH6Li4sjJiaGmzdvcvPmTY4fP/48RUJR\nFBwcHP4TEBcsWNDyNsO1ayfq7s6YAU2b/lt+TKI7njx5wsGDB58HuhEREdy/fx87OzsCAgIYPnw4\njRs3pmzZslqrKpFkChn4pqG4fXF2ddtFi8UtaDCvAZMaT+KTyp+Y7IsqODiYVatWmUSWpZMjh0hz\n+Osv0dwpLXr1pV7tSo052/hMN0VRcHR0xNHR8YXzjx49IjY2lhs3bjwPiM+fP8/Dhw8ByJkzJ05O\nTlqonmmCO3cW8/G//4kOMo0aiV+e/ftD3bpGqyuo1XVgztdfesmIDVFRUaxdu5YNGzYQHh5OQkIC\ntra21KxZk2HDhlGnTh18fX3TdQdDyzkzZPe2vkkf4/G4lMHGs3QuJJ1lKD20VsMgyMD3Jdjb2LOu\nwzr6rutLj7U9WHxiMTOazsCzkPGLq3/66adGl6EnGjQQ38UJCWCbpta4Xn2pV7tSY842vkk3Gxub\nF1aGQawOX7x4kfXr13Pjxg1iYmKwTXvBmjHPba5YEbZuhWXLYOhQ8QYsWVKUMQsJAWdn48g1MeZ8\n/aWX19nw+PFjIiIiWLt2LWvWrOHMmTPkypWL2rVrM3jwYOrWrYuvry85c+Y0qFxjooc5k5gGWc7s\nFeSyzsUv7/1CWKcwLty5QLlfyjF211iepDwxqtzAwECjjq83qleHlBQ4cOC/5/TqS73alRpztjEj\nuqWkpHDq1Cl+//135s6dS3x8PDVq1KB3797UrVvXiFoalhdsVhRo0ULk+u7YId6E33wDbm6iwkNY\nGDwxzOekVteBOV9/6SWtDXFxccyZM4dWrVrh6OhI/fr1WbhwIbVr12bFihXExcWxceNGvvzyS/z8\n/DIV9L5MrqnQw5xJTINc8X0DDUo04HiP4wzZMoSBYQNZdGIRs4JnyaoPZsLbb4uup5GRUKeO1tpI\nJILk5GSOHDnCzp07+eeff3Bzc+ODDz7A29v7eUARHR2trZJZRVFEUe2AAJg4EebPFznAgYEi+b5B\nA5ESERQkgmKJJjx+/JhJkyYxYsQI7t+/T9WqVRk4cCDvvvsuFStWtLx8cxMhStdK3zxDT56QgW86\nyJcrH+MbjadN2TZ0X9WdyjMq86X/lwypNYTcOWS7TS2xthYVlZ7uJ5JINCUpKYnIyEh27dpFfHw8\nb7/9Ns2bN8c1g40bLI5ChaBvX+jTR7QnXrcO1q+Hjz8Wt2R8fEQQ3KiRaFOs9/JvZsKmTZvo3bs3\nZ86coVevXgwePJjChQtrrZZEoiky1SEDVHOrRuQnkQwJGMLonaOpOL0iV+KvGFTGihUrDDpediBf\nPrh//7+P69WXerUrNeZs46t0+/vvv5kwYQIbNmygePHi9OzZk9atW+si6E33fCiKKLD9zTewezfE\nxsKiReKx0FBo2BAcHEQdwvPnDSfXwJjz9ZdeGjRoQMOGDXFycuLQoUNMmjTJJEGvnDOJuSMD3wyS\nyzoX39T5hkOfHOLOozt8tv4zg44fGhpq0PGyA/nyic1tadGrL/VqV2rM2caX6Xbz5k2WLVuGm5sb\nvXv3plmzZhZXueF1ZHo+ChWC1q1h9my4cgWOHhUlWI4dEzUIN240jtwsYs7XX3o5cOAA/v7+bN++\nnfLlTZeaJ+dMYu7IwDeT+Dj7MC5wHEv/XsqGqA0GG3fRokUGGyu78KoVX736Uq92pcacbUyr2+PH\nj1myZAkFCxakZcuWFCxYUCPNjIdB5kNRoFw5GDBAdJ2pVk2kPvzwA6iq8eRmAnO+/tLLyJEj2bNn\nD9evXzepXDlnEnNHBr5ZoG3Ztvi7+zNm1xitVcnWJCaKNEKJRAv+/vtvbt26RcuWLTO9Ez7bUbCg\n6DwzdCh8/bVohSwxKJ06dSJv3ry89957nDlzRmt1JBKzQQa+WUBRFGoWq8n522/OVZMYh2vXxF6a\nBg201kSSXbGzswPA2tpaY00sDCsrEfCOHCn+XbpUa410RYECBdi2bRsJCQlUqlSJWbNmob5iZV0i\nyU7Iqg5ZxD2/O1fir5Cckoy1lfziMzXz54vKDu+/r7UmkuyK89OmDTExMTg4OGisjQXy9dci57dz\nZ1H2zM9Pa410g6+vL5GRkXz22Wd0796dHTt2MGfOHFnCLB1MyDGDnDktp8mMsUnK8ZKNNM8omoJa\nPAO3XR9qe4tWrvhmkfBL4RS3L46VYhhXhoSEGGSc7EBYGAweLComFSr03/N69aVe7UqNOduYVrd8\n+fJRvHhxwsLCuP+yZHMdYNT5UBSx+a1SJXHrZts208h9DeZ8/aWXZzbky5ePmTNnMn/+fObNm8ek\nSZNMItfU6GHOJKZBBr5Z4NLdS/x58k/6+vU12C9o2X0mfRw5IppHNWgAEya8/Dl69aVe7UqNOduY\nVjdFUWjevDnJycmsWLGCFB0mnBt9PvLmhQ0bRBe4xo1h9WrTyH0F5nz9pZe0NnTs2JF+/foxYMAA\nIiMjTSbXVOhhziSmQaY6ZJJHTx7RZUUXCtgUoEvFLgYbt127dgYbS6+cPSuaQZUqBUuWwKv2E+nV\nl3q1KzXmbOPLdLOzs6NZs2b88ccfzJgxg8aNG/PWW29poJ1xMMl85MsnAt62bSE4GNq0od3o0caX\n+xLM+fpLLy+z4YcffmDr1q307duX8PBwk8k1Be3atTNoQN/3ycd4JJUy2HiWzoUnZxlKD63VMAhy\nxTcTJCUn0WpJK/Zc2cOKNiuwzSXzgEzF5ctildfeXjSHspWul5gJnp6edOvWDWtra+bMmcPSpUuJ\nj4/XWi3LIndu+PNPkfqwfTt4eYkc4Hv3tNZMF+TOnZuvvvqKiIgITpw4obU6EokmyMA3gzxJeULH\n5R3ZELWB5W2WE/BWgNYqZRuio6F+fbEZfNMmeLqnSCIxG1xdXenevTvBwcFERUUxZcoUrl69qrVa\nloW1NYSEiFs7AwbA+PHi9s727Vprpgs++OADnJ2dmT59utaqSCSaIAPfDJCUnES7pe1Y9vcyFrVc\nRJBnkMFlREREGHxMPfCs3n1ysgh63dze/Bq9+lKvdqXGnG18k26PHj3i2rVrJCYmUqBAAfLly2ci\nzYyHJvNha0tEUBCcPg0+PiK/yURtac35+ksvr7IhV65cdO3alXnz5vHgwQOTyTU2hparAIr8L9V/\n+kEGvukkKTmJtkvbsvLUSv5s9SfN3m5mFDljxshmGGlZswZq1YLixWH3bihZMn2v06sv9WpXaszZ\nxlfppqoqkZGRTJkyhSNHjtCwYUP+97//YW9vb2INDY9W8zFmzBgoVgz++kvk/bZoAbNmmUauhfM6\nGz766CPu3r3L4sWLTSrXmOhhziSmQW5uSwcpagpdVnZhzZk1LGuzjPdKv2c0WQsXLjTa2JZGSgp8\n/z0MGybq9C5YIDZ/pxe9+lKvdqXGnG18lW67d+8mLCyM8uXL06BBg+eNLfSAVvPxXG7u3BAaCp9+\nCh99BO7uYMRd/OZ8/aWX19lQokQJKlSowLZt2+jSpYvJ5BqThQsXcurUKYONl7vN29h4VzTYeJZO\n7pPW8KfWWhgGueL7BlRV5fMNnxN6LJTfm/1u1KAXIG9GIjsdc+eOCHaHDYNvvhFNnTLqGr36Uq92\npcacbXyZbn///TdhYWH4+/vTrFkzXQW9oN18vCDX2hqmThUpDx06wJUrppFrobzOBlVViY6OpnTp\n0iaVa0z0MGcS0yAD3zcw98hcJuydwJQmU2jl00prdbIFmzZB5coQESHSHL75Rmxok0jMkfj4eJYt\nW4a3tzf169fXWh19Y2Ul2jXa2EDLlrLaQyY5ceIEd+/epUKFClqrIpGYHBlOvIGVp1dSp3gder7T\nU2tVdM+1a9CuHTRsKO5kHjgATZporZVE8noSEhJ48uQJ/v7+shWsKXB0hOXL4e+/xQeEDH4zRGJi\nIh9++CGenp7UqVNHa3XMF0VBkcfzAx19tsnA9w3su7qPaq7VTCZvwIABJpNlLqSkiDuYZcrA5s0w\nbx5s3Zr+TWyvQq++1KtdqTFnG9PqZmNjA4iAQq9oNR+vlFuliuj0duSIUYJfc77+0svLbFBVlUGD\nBnHs2DEWLVpklIojZnetSCRpkIHva0hRU0h8ksiMyBlM3TeVJylPjC6zWLFiRpdhTsTGwnvviT0r\n7dqJykWdOhnmx6VefalXu1Jjzjam1e1ZbqExSkOZC1rNx2vlVqsGGzfC0aOiq82tW6aRayGkteH+\n/ft8+OGHTJw4kZ9++glfX1+TyDUVepgziWmQge9rsFKsONHzBM3KNKP3ut5UnFaRTec3GVVm7969\njTq+ObFjB1SsCPv3iy5s06ZBwYKGG1+vvtSrXakxZxvT6pY7d25y5syp6y5tWs3HG+VWqwbbtonu\nNgEBorWjKeRaAKltOHXqFH5+fixdupQFCxYY1T6zvVYkkqfIwPcNFLYtzK/Bv3Lg4wMUzFOQhvMb\n0mRBE/Zd3ae1ahbNjh1Qty54esLhw9CokdYaSSSZQ1EU8ufPT3R0NCkpKVqrk/2oVEnshH34UATC\ny5eDqmqtlVmQlJTEhAkTeOedd0hJSWH//v20b99ea7UkEk2RgW868S3iy44uO1jccjHRd6Lx+9WP\nJguasPfKXq1Vs0jGjxfthzdvBldXrbWRSLJGrVq1OHv2LIsXLyYpKUlrdbIfpUrBrl3iFlLz5vDu\nu3DunNZaacrWrVupVKkSn3/+OZ07d2bfvn14e3trrZZEojky8M0AiqLQyqcVx3ocI7RFKNF3oqk2\nqxqNFzRm6cmlXInPel1JQxbgNmcuXYLRoyGHEVuo6NWXerUrNeZs48t0K1++PO3ateP8+fPMmzeP\nmzdvaqCZ8dBqPjIkt2hRUf9w+XI4cUK0OR42TJSLMaZcM+PWrVu0adOGevXqYW9vz8GDB5k6dSq2\ntrYmkW8R14okWyMD30xgbWVN27JtOdbjGAtbLORK/BVaLmmJ+3h3XMe50mxRM0ZFjGLLhS3EJ2Ys\n72/gwIFG0tq8qF1b3KE0Jnr1pV7tSo052/gq3UqVKsWHH37InTt3+OWXX5g2bRq7du3ing7KbWk1\nHxmWqyjwwQdw8iT07y9+Xbu5iaYXv/8O9+8bR66ZkJycTNu2bdm0aROVKlUiPDycihVN233MYq4V\nSbZFtizOAtZW1rQp24Y2ZdsQcy+GfVf3se/qPvZe3cv34d9z7/E9FBTednobP1c/qrpWxc/Vj7LO\nZclpnfOlY06ZMsXEVmhDrVrGl6FXX+rVrtSYs42v083V1ZXPPvuMqKgojh49ypYtW9i0aRMeHh6U\nL1+et99+m1y5cplQW8Og1XxkWm6+fKLf+YABsGSJCHo7dRKPN2sm/r9+fdENzpByNeaHH35gy5Yt\nhIWFUapUKU3qSmt5rdwyYGUPiX6Rga+BKGpXlA/KfMAHZT4ARCm0U7dOiUD4yl72xexj/tH5PEl5\ngk0OG8o4lsHHyQdvJ+/n/5YoWCLblGQxUiWdF9CrL/VqV2rM2cY36WZtbY2XlxdeXl48evSIEydO\ncOzYMVasWMG6devo3bu3UeqnGhOLLVFVsCB8/LE4LlyAP/4Qnd9+/x1Kl4awMHiJDHO+/l7FhQsX\n+OabbxgyZIimHQS1vFZk4CtJDzLwNRJWihXeTt54O3nTpWIXAB4mPeTQ9UPsv7qfE7EnOBl7krVn\n13Ln0R2A5wFx6mDYx8mHEgVLYG318pUJS+VK1tOhJRKzx8bGhsqVK1O5cmU2b97M3r17yZ07t9Zq\nZU88PGDwYPj6a9i3D9q2hXr1RImZokW11i7LPHz4kJSUFAIDA7VWRSIxa2Tga0Ly5MxDDfca1HCv\n8fwxVVW5nnD9eSB84uYJTt46ybqz67j96DYAua1z/zcgdhYBcQ4ry5zCHTtE0wqJJDuQmJjI2bNn\nKVWqFDmMuaNT8mYUBfz8YMsWsdmgXj3YuRMcHLTWLEsUfRq8b9u2DV9f3+eNVSQSyYvIzW0aoygK\nReyK0KBEA/r49aHEyRKEh4QTNzCOa59fY1OnTfzY8EequVXjSvwVxu0ZR/PFzfGa4oXt97ZUmFaB\ndkvbMXLHSJb9vYzTt06bpMNcVlmyBCZNMq6M0aNHG1eARujVrtSYs40Z0e3+/fts2bKFCRMmEBsb\na7RuWcZGq/kwqlwPD/jpJ9Eu8sQJ08k1EgUKFMDX15ehQ4dSqFAhSpUqxbhx4zh58iSqCesa6/Ja\nkegKufRgZjxre6ooCi62LrjYulC/xL/5WqqqcvP+zf+sEIedCyPuYRwAuaxz4eXg9XyF2MdZrBJ7\nFvI0mxXiTp2gb1+R8jBqFFgZ4SeYXlvI6tWu1JizjenR7c6dO+zatYtDhw6hKAqVK1emevXq5M+f\n3wQaGh6t5sPocufPF2XPAgJMK9cIKIrCgQMHOHPmDOvXr2fy5MkMHjyYzz//HHd3dxo1akSjRo2o\nX78+BQoUMJoeur1WJLrBPKIgyXNGjBjx2vOKolDYtjCFbQtTz6Pe88efBcQnY0/+GxTHnmDT+U3P\nA2KbHDb4ufoRUCyAmsVqUt29Ovlza/NF/NlnULky9OsHV6/Cb7+BoTe7v8mXlope7UqNOduYVrcn\nT55w/fp1YmJinh+xsbHkyZMHf39/qlatavG3nbWaD6PIVVXR6W3aNFi9GmbNEukPxpZrAhRFeb6x\nsm/fvjx8+JAdO3awfv161q9fz8yZM8mZMyfdu3dnyJAhz9MjDImW10pkZKQmsiWWhQx8dULqgLiu\nR90Xzj0LiA9dO0TE5QimH5zOyPCRWClWVHSpSE33mgS8JYJhF1sXk+ncty8UKSJWf2/cgGXLwEIX\nxCTZhOTkZGJjY4mJieHq1atcu3aNGzdukJKSgpWVFYULF6ZYsWLUqFEDb29viyxdplvi48UK77Rp\ncPy46Jc+bhx8+KHWmhmNPHnyEBQURFBQEOPHjyc6OprQ0FB+/PFHfvvtN3r16sWgQYNwcnLSWlWJ\nxGTIwDcb4JzPGed8ztQpXod+1fuhqipn4s4QfimciEsRrDm7hkn7RMKtZyFPAooF0NqnNYElA7FS\njJsG3ro1FC4M778vavuOHi32muR8eZljicTk3Lt3j507d3L16lWuX7/OkydPUBQFJycnihYtSqVK\nlShatCiFCxeWG9fMjaQksZN28WJYsAAePYLgYBHw1q9vnBwrM6Z48eJ89dVX9OzZk3HjxjFu3Dim\nT5/ORx99hL+/PxUrVsTDwwOrbOYXSfZCfkqbGbdu3cLR0dGoMhRFwcvRCy9HL7r7dgfgavxVIi5F\nEHEpgs0XNvPb4d/wLORJr3d60aViF+xt7I2mT+3a4s5j69bQqJHYXN2iBbRpI869osb8GzGFL7VA\nr3alxlxsjI6O5s8//0RVVUqWLIm3tzd58uTJdqu5Ws1HpuTeuwcbNsCKFbB2Ldy5I2r1fvEFfPQR\nuLoaR66Z8TobChQowIgRI+jduzdjxoxh3rx5jB8/HgA7OzsqVKhAxYoVnx8+Pj7Y2NhkWa4xkTV8\nJelF/qwzM7p27aqJXNf8rrQp24bJTSZzoucJIkIieKfoOwwIG4DrOFc+Wf0JZ+POGk1+2bJiY/XB\ng9C9O2zcKBZkihaFXr3Eok1KSsbG1MqXxkavdqVGaxtTUlLYuXMn8+bNw8nJiR49etC8eXOqV6/O\nsGHDslXQC9rNR7rlXrsGM2fCu++CkxO0agXHjkGfPuJDJToahg9PV9CbIblmTHpscHR0ZMyYMVy/\nfp1r166xfv16Bg8ejJubG5s2beKjjz6iSpUq2NraUq5cOTp16sRPP/3E5s2biYuLy7RcY6CHOZOY\nBrnia2YMHz5caxVQFAX/Yv6UK1yO+h71+SLsC2ZEzmBGzAwjyxUd3Xx94YcfYP9+cYdy8WL4+Wdw\ndITAQLEqHBgoUiRehzn40hjo1a7UGMvGx48fk5CQQEJCAvfu3Xv+/6mPe/fu8eDBA1RVpWbNmtSt\nW/eFW7/Zwf9p0crm53IfP4aLF+H8edGB7fz5f48LF8SqrpWVqM4wapTInfLwyLpcCyajNri4uODi\n4kJQUNDzx+7fv8/x48c5fPjw82PZsmXPKyh4eXlRq1YtAgICCAgI4K233tL+WpFI3oAMfM0MLet8\n3n98n52XfRhWRQAAIABJREFUd7Llwha2Rm/lYMxBktVkXO1caVq6KSVLl2T4jOEm0UVRoGpVcYwZ\nA3v3iruW69eLrqMAlSqJIDgoCGrU+G9esKXWTH0TerUrNRmxUVVVHjx48MZgNiEhgcePH7/wWmtr\na2xtbbGzs8PW1hY3NzdsbW2xtbXFxcUF15esEGYH/6fF6DarKty8+Z/A1vfZ35cvi+eAyH166y0R\n2FapInKkSpaEunXFr2MDoIc5NoQN+fLlw8/PDz8/v+ePJScnExUVxcGDB4mIiCA8PJyZM2cC4Obm\nRkBAADVr1iQgIAAfHx+T5Qv7+vrKqg6SdCED32yIqqrEPojl9K3TnIk7w6lbp9h9ZTf7ru4jKSWJ\nwvlEZYhulbpRt3hdPAt5oigKkZGRDGe4yfW1soLq1cUxcqT4fty4UaTx/fqrWB22sxOpES1bwgcf\nQL58JldTYgIuX77MkSNHuHfv3vNg9v79+6SkyYOxsbF5Hszmz5+fokWLvhDgPjtsbGxQ0pSykhiZ\nx49Fp7SNG0V+07NAN3UdVkdHKFFCBLc1aoj/f/a3uzvITYSaYW1t/bxkWvv27QGIi4tj586dhIeH\nEx4ezpIlS3jy5AkFCxbE39+fRo0a0axZM6OUTzMWiQtP8tDJ/JtBmYrE2DNaq2Aw5KeHjnn05BFn\n485yOk4EuKfjTnP61mlOx53mzqM7ACgoFLcvjm8RX8YHjaeuR13ednzbrIMBZ2fo2FEcKSlw6JBY\nCV67Vjxmays2x3XuDHXqZLuN27rkypUrbNu2jXPnzlGwYEGcnJwoUqTIS4NZW1tbWV3B3IiOFm/S\n9eth82ZISBC5SpUrix2sISH/BrYeHrKuoYXh4OBAcHAwwcHBgEiR2Lt3L+Hh4Wzfvp3PPvuM3r17\nU6NGDVq2bEnz5s0pVqyYxlpLsivy28HMmDVrFt26dcvQa67du8aJ2BMiuH0a2J6OO83FOxdREbcH\nC9oUxMvRizKOZXjf631KO5TGy9ELz0Ke2ORI325dc8TKSnx3Vq4MgweLhaPffxflOufOnYW7ezc6\ndBC1gt9++z916i2SzFwjlsYzG69cucL27duJiorCycmJli1b4u3trekPs+zg/7Rk2ObERNi+Hdat\nE8HuqVMiRcHfH77+Gho3hvLl3/irVCtf62GOtfZdvXr1qFdPNFn6559/WLVqFUuXLmXQoEH069eP\nqlWr0rJlS1q2bIlHFvKxU8utVKlSlseR6B+5FmZmpCdH6XHyY7Ze2MqAjQMo+3NZio4rSsP5Dfls\n/WdsPL8Rmxw2tPZuzcymMwkPCefmFzeJGxjH7m67mfPBHL4K+IoW3i0o61zWooPel1GiBAwbBmfO\nQPPmkbz7LkyfLrqSliwJn3wCS5fC7dtaa5p5skMeW2RkJAkJCcyePZsLFy7QvHlzevTogY+Pj+Z3\nI7KD/9OSbpvPn4dBg0T1hKAg+PNPseFs6VKIixPB8FdfQcWK6boVo5Wv9TDH5uS7QoUK0aVLF1av\nXs3NmzdZsGABrq6uDBs2DE9PT6ZMmWIUuRLJy5ArvmbG1KlTX/r41firrItax7qodYSdC+Pe43u4\n2LrQ2LMxw2oPo5JLJTwKepDDSk4piJXdpUuFLydMgLAwkVK4cSPMmCG+c995R1SHCAwEPz/LaZrx\nqmtET0ydOhVVValbty5bt27l0KFDeHh4YGtrq7Vq2cL/aXmtzcnJYlX355/FCm+BAiJ1ISRE1CnM\nwg8VrXythzk2V98VKFCA9u3b0759exISEhg6dCi9e/fm3LlzjB07FutMFm6fOnWqDH4l6UJGSWZM\n4pNEpu6fyrwj8zhy4whWihXV3KoxyH8QTUo1oYJLBaN3VtMDuXPDe++JA+DSpX8D4alT4bvvxOa4\nOnVEuqG/vyipls1KtZodiqIQEBCAm5sbS5cuZfr06bRo0YLixYtrrZoERFe0adNEF7ToaJFvNGuW\n6DyTN6/W2kksAFtbW8aPH4+npyd9+vThxo0b/PGsbI9EYiRk4GuGqKrK0r+XMjBsIJfuXqK1T2u+\nrPklgSUDKZSnkNbqWTzFikG3buJIThab48LCxDF0KDx8CDY2opRazZoiEK5eHQoW1Frz7ImHhwef\nfPIJy5YtY+7cudSsWZM6depkemVIkkVUFVavhgEDICoKOnQQxbbfeUdrzSQWiKqqPHr0CEVRuHPn\njtbqSLIBMvA1Mw7EHKD/hv6EXwqnSakmrG2/lred3tZaLd1ibS1KgVapIlIPk5Lg8GHRQnnnTrGA\n9f334m6tj48Igp8Fw8WL62OznCVgZ2dHp06d2LlzJ1u3buXChQu0aNGCgvLXiGk5dAg+/xy2boUG\nDWDJErFJTSLJBHfu3CEkJIQVK1YwaNAgRo4cqbVKkmyAvE9uBqiqyqbzm2j0eyPeqfsOtx/dZkPH\nDTLozSLPSutkhJw5xcJVv35iX861a2JR67ffxKpveLioEFGiBLi5idr5EyeKrqhPTFTyMTN2WRov\ns9HKyoqAgAC6du1KQkICK1as0ECz7OH/tAQ3bSpa/lapIt4Ua9eKXCEjB71a+VoPc2zOvlNVlQUL\nFuDt7c22bdtYuXIlo0aNylIZQj3MmcQ0yBVfDUlKTmLRiUWM3TWWIzeOUMmlEoP6D2LkRyPlJjUD\n8Omnn2Z5DEUR1SBKloQPPxSPxcXB7t3/rgoPHChq8ufLB9Wq/bsqXK2ayB02NIawy9x5nY1ubm6U\nLFmS69evm1Cjf8kO/n+B8+f59Nw5+OsvUTLl669NthNUK1/rYY7N1XdHjhzh008/JSIiglatWvHT\nTz/h7u5udLkSyTNkdKUBj5MfM+PgDEbvHM2V+Cs09mzMuKBx1C1eV/NSTXoiMDDQKOM6OLy4WS4x\nUaz4PguEp06Fb78VlSPKl4cmTUQzDS8vw8g3ll3mxJtsTEpK4sGDB1y8eJFixYqZ9H2THfwPwL17\nogTKiBEEOjqK2x01aphUBa18rYc5NiffpaSkEB4ezty5c5k7dy5eXl5s2rSJ+vXrG1SurOqgbxRF\nyQHYqKqakJVxZOBrQlLUFEKPhTJ061Au3r1Ix/IdGVBjAGWdy2qtmiQL5M4t4oFnMYGqwunTIhAO\nDxeB8Pffi81ynTtD27YieJZkntKlSxMdHc2cOXOws7PD29ubsmXL4urqKn88ZpXYWJg0CaZMER3W\nunaFH3+U3dQkGUJVVY4ePcqCBQsIDQ3lypUrFC9enLFjx/Lpp5+S01LqR0pMjqIoTQEHVVXnpHps\nMDAUyKEoyhagjaqqmarILwNfE7E+aj2DNg3i6I2jfFDmA9a0X4O3k7fWakmMgKJAmTLi6N4dHj0S\nm+Dnz4fPPhP5w+++K4Lg99+XLZUzQ9myZfHx8eHy5cscP36c48ePs3fvXuzt7fH29qZChQo4Oztr\nraZlcfkyjBkjdnRaWcHHH4uL1QC3oSXZh5iYGObMmcOCBQs4efIkjo6OtG7dmg4dOlC9enX5w1SS\nHvoDfz77Q1GUGsC3wDDgb+D/EEFw/8wMnqGvXEVR/qcoyhFFUe4+PXYpitIo1flmiqJsUBTllqIo\nKYqi/Gfng6Io256ee3YkK4ryc5rnFFQUZcFTGbcVRflVUZR8mTHQHLh27xrv/vEu+XPnZ3e33Sxv\ns/yVQa9WG3b0iLn40sYGWrWCVavg6lUYO1bUEm7eXNT7zyjmYpcxSY+NiqJQrFgxmjRpQv/+/enc\nuTMlSpTg0KFDzJo1S1PdLJJOnWDBAvjyS7h4UdTnfRr0amVzdpNrSLSyISgoiJEjR1KxYkXWrl1L\nTEwMU6dOpUaNGkYNevUwZ5Ln+AC7Uv3dEghTVfX/VFVdBnwONM3s4Blda7oMDAJ8gcrAFmCloijP\nSg/kA8KBgYD6ijFUYAZQGHABijx9fmr+AN4G6gPvArWA6RnU1Wy49/geKWoK/1fv/6jmVu21zw0N\nDTWRVvrHHH3p7Ax9+sDmzeLvhw8zPoY52mVoMmqjlZUVHh4eNG3alLp16/LEiCU2dOv/hw+hRQux\ngS1NLo5WNmc3uYZEKxtiYmJo3749CxYsoEmTJiZLadDDnEmeYwfEpfq7JrA51d8ngKKZHTxDqQ6q\nqq5N89AQRVF6ANWAv1VV/R1AUZS3gNf9tHugqmrsy04oilIGCAIqq6p66OljvYG1iqJ8oaqqNlu5\ns0B8Yny6n7to0SIjapK9sARfJidn/DWWYFdWyaqNKSkpnDx5Ei8vL4M3utCl/+/ehVu3XnlaK5uz\nm1xDopUNpUuXRlVfte5lPBYtWmTQzW1znK3J6yqb5DzjgWJSX1xFLH5eUhTFFqgA9Et13gF4kNnB\nM51dqCiKlaIobYG8wO4MvryDoiixiqIcUxTle0VR8qQ6Vx24/SzofcomxEqxX2b11YqYezG0/bMt\nHvYeVChcQWt1JGZC/vyiRNqSJVproj9KlCiBm5sbS5YsYfz48YSFhREXF/fmF2ZXtmyBcuXEpra2\nbbXWRmLhFClShOjoaK3VkFg2S4AJiqJ0AmYC14E9qc5XAU5ndvAMb25TFKUsItC1Ae4BzVRVPZWB\nIRYAF4EYoDwwBiiNyOEAkf5wM/ULVFVNVhTln6fnLIbY+7E0mNeAxOREdnTZQQGbAlqrJDETrKxE\np7ju3eHECdEVTmIYHBwc6NatGzdv3iQyMpJDhw6xa9cu3nrrLSpXrkzZsmXlBhsQuy4HDoTJk6Fu\nXdGl5a23tNZKYuG88847jBo1ipSUFKzkzl1J5vgWcAUmIYLejqqqpr4/2g5YndnBM3NVnkIsO1cF\nfgHmPU1PSBeqqv6qqmqYqqonVFUNBToBzRVF8ciELv+hSZMmBAcHv3BUr179P4nvGzdufGmnl169\nev1nY0xkZCTBwcHcSnMr8JtvvmH06NEvPHbp0iWCg4M5euIoHyz6gH8e/sPmzptZ8/saBgwY8MJz\nHzx4QHBwMBERES88HhoaSkhIyH90a9OmjcnsmDx5Mi4uLtSrV++5H/v164ehMJd5OnXqxd9skydP\nNtk8deoEtra9aNduFqnvDJrTPIHlzpWzszONGjWif//+2NjYMGvWLJYtW0ZUVNTz55vqPRUaGkrD\nhg1fmCvN52nUKJg+XbQe3LSJXmPGWPx7CnQ4T2kw98++qKgo7t27R3x8vFHtMPpnn6LII+1hIlRV\nfaiqamdVVQuqqvq2qqrhac7XVVV19Kte/yaUrObiKIoSBkSpqtoj1WNvAReAiqqqHn3D6/MCCUCQ\nqqphiqKEAGNVVXVI9Rxr4BHQUlXVla8Yxxc4ePDgQXx9fbNkkyHosaYHsw/PZnuX7W/c0JaakJAQ\nfvvtNyNqlnkiIyOpXLkyiPzrTCVTmXKezNmXz1i1SpQ0Cw1N/13mN9lliHkCbd9Txpg7VVUZN24c\nFStWzFLhfEPppuk8PX4MxYqJzWxTp77x6Vq9l8xBrqW+n7Tw3cOHD3FwcKBZs2YsWLDApLJDQkLo\n3bu3wb6jPHvNJK9raYPqaMk8uHqGqKkfQSrfPvNVRKgvFd9Of5vSw3/fo2a7yBfGSg+KotRGFFHY\nndkavpCFHN80Y+R+yePpjagrPX3utad/7wbsFUWplOo59RGb5fZmVklTMu/IPKYdnMbUJlMzFPSC\nPjoGmQuW4MvgYFHqrE8fcec5PViCXVnFGDYqioKTkxMxMTFZGkcX/l+zBm7cgF690vV0c+oCpme5\nhsTUNly6dIlu3bqRmJjIiBEjTCob9DFnEoGiKIMURfku1d+Koijrga3AGuBvRVEynSCYoRxfRVG+\nB9YBlxDlJjoAtYHAp+cLAsUQuRkKUEYRyXTXVVW9oShKCaA98BeiVEUFYBywXVXV4wCqqp5SFGUD\nMPNpxYhcwGQg1BIqOlxPuE7f9X3pVL4T3X27Z/j17dq1M4JW2RNL8WVIiNjkFhcHrq5vfr6l2JUV\njGHjsWPHuHDhAvXq1cvSOLrwf+HC4t+oKPB+cyMdrWzObnINialsiIqKYtSoUcydO5cCBQowbdo0\nPD09TSI7Ne3atTNoVYcPbzzBI8V4ZREtjQuxTxhqOnFtgNSpDC0RZW0DEA0s5gHfAK0zM3hGV3yd\ngbmIPN9NiFq+gaqqbnl6Phg4hEg6VoFQIBL45On5x0ADYMNT5X9E7N5LmwDUPpWMNcCOVGOYNX3W\n9SGnVU7GB43XWhWJhSD3WRmfixcvsnLlSsqXL0/NmjW1Vkd7/P2hVi347jtITNRaG4mFkZyczJ49\ne+jYsSNeXl6sWbOGUaNGER0dzUcffaS1ehLLxwNInSbbBPhTVdWdqqr+A4xEVADLFBmt4/vaJUxV\nVeciAuNXnb8C1EmHnDtAx4zoZg4kPklk1elVNHu7GQ55Hd78AokE2LsXcuQAW1utNdEnt2/fZtGi\nRbi7uxMcHCwrOjxjxAioX1/k+n7yCfToAUWKaK2VxEyJiYlh48aNrF+/nrCwMP755x/c3d2ZNGkS\nXbt2JU+ePG8exIIol3cSPrZ5tVbDbLC9n+myuZkhB5D6F3l1YEKqv2MAx8wOLmuNGJDcOXIzLmgc\nC48vZNnfyzI1Rtrds5LMYwm+jIqCH36AL76AAumsdmcJdmUVQ9n4+PFjFi1ahI2NDa1btzZIMwvd\n+L9OHVFLr1Ur0Z64WDHo0EH8EkuDVjZnN7mGJKs2JCYmsmXLFgYOHEiFChVwdXWla9eunD9/np49\nexIeHs758+fp1avXC0GvnDOJATiHSG1AUZRiiJK3O1Kdd+PFzm4ZQga+BqZHlR609G5J15VduXD7\nQoZfP2bMGCNolT2xBF9+9plYZBuageQpS7ArqxjKxmfNK9q2bWuwFSld+b9MGZgyBa5cgTFjYPdu\nqFYNKlaEr7+G7dvh8WPNbM5ucg1JRm24du0aK1euZPDgwTRs2BAHBwfq16/PvHnzqFixIn/88Qc3\nb95k3759fPfdd9SsWZMcOf5701jOmcQATAWmKIoyC7GvbLeqqidTna+HSKvNFBluYCF5PYqiMLPp\nTHyn+9J2aVvCQ8LJZZ0r3a9fuHChEbXLXpi7L48fh7VrYf58yJuBO2rmbpchMJSNBQsWJDk5meTM\n9IZ+Bbr0v7099OsnyousXQsLF8LMmeJ2hK0tC2vVgp9/hsBAMOHGJa18rYc5fp0N9+7d4+DBg+zd\nu5d9+/axb98+rly5AoCLiwt+fn4MHTqUoKAgypcvn6FGFFrOWdraxFlFZkVpg6qqMxVFSQaaIlZ6\n05YJKQrMzuz4MvA1AvY29ixquQj/2f58tekrfgr6Kd2vzZuRCEjyWszdlxMmQNGi0DqD+1LN3S5D\nYCgb/fz8OHLkCKtXr6Z169bY29tneUxd+9/aWtTYCw6GlBSIjISNG8m7YQP07QtPnkCJEhAUJI66\ndUX/bSOhla/1MMepbbh9+zZLlixhz5497Nu3j5MnT6KqKra2tlSpUoX27dvj5+dH1apVcXV1zVIe\nvJwziSFQVXU2rwhuVVXtmZWxZeBrJN5xfYcf6v/AgLABdK7QmQouFbRWSWJGXLwoVnq//RZypf+G\ngCSDWFtb07RpU+bOncvEiRNxcnLC09OT0qVL4+7ubpCcX91iZQVVqojj668hPh62boWNG2HDBvjl\nF7Ers3r1fwNhX1/xOolZEBUVxcSJE5k9ezaJiYnPq5p8/vnnVK1alTJlysj3gCTbIQNfI9LHrw8z\nImfw1eav+KvDX1qrIzEjhg8Xd5fT2T9AkgXc3Nz4/PPPOX/+PGfPnuXYsWPs3r2b3LlzU6JECUqV\nKoWnpyd2dunvPJQtyZ9ftBl8/33x97lzIgDesEG0Px4yBBwdoWFDkRIRGChuaUhMiqqqREREMG7c\nOFauXImDgwNffPEFPXv2pPCz+s2SN+JYPi8uJeVnwjOun9NaA8Mhf5obkZzWOfmm9jesi1rH8ZvH\n0/WatL3SJZnHXH15/DjMmyfihMyUMDNXuwyJoW20sbHB29ub999/n/79+/Pxxx9To0YN7t27x6pV\nqxg3bhxTpkxh8eLFbNu2jRMnThAbG/vS3ODs4P+0vNTmkiWhZ09YuRL++UdshPv4YzhzBrp2Fd1Y\nKleGH3+ES5cMJ9cEWOIcp6SksHLlSqpVq0atWrXYsWMH06dP59KlS4wYMcJkQa+cM4m5I1d8jcyB\nmAPY5bLDxdYlXc8vVqyYkTXKPpijL1VVrPKWKiVihMxgjnYZGmPaqCgKRYoUoUiRItSqVYsHDx4Q\nFRXF1atXiY2N5cCBA9y/fx8AKysrHB0dcXZ2xsnJCWdnZxwcHEhJScnQhh9L543zkTOnaIhRqxb8\n3/9BbCyEhcGyZaJkycCBomlGu3aifJqzs2HkGglLeo89efKExYsX88MPP3D8+HFq167NX3/9xdmz\nZzVpJqGbOVMUWfM7NTryhQx8jcjFOxf5ef/PfB3wNY5501druXfv3kbWKvtgjr78/XfYsUPEBLlz\nZ24Mc7TL0JjSxrx581K+fHnKly///LH79+8TGxvLzZs3uXnzJrGxsURFRfHo0SMAfvjhh+eBsLOz\nM2XLliW/ETd5aU2G58PJCdq3F0d8vFgVDg0V9fv69BGNM3r1+jdtwlByDYSlvMcWLVrE4MGDOXfu\nHI0bN2batGn4+/sD0LhxY0100nLODNmyWKJfZOBrJOIexPFe6Hs45nWkX7V+WqsjMQPu3BGNKlq3\nhgYNtNZG8jry5ctHvnz5KF68+PPHVFUlISHheSD87N+TJ0+yefNmypcvj7+/P46OmW4opE/y54dO\nncRx6xYsXSp2djZrBn/9BY0aaa2hxTJ+/HjOnTtHuXLlGDx48POgVyKRvBoZ+BqBO4/uEPh7IDcS\nbrC9y3bscssEeYnI6X3wQDTJklgeiqJgZ2eHnZ0dJUuWfP54YmIiBw8eZM+ePRw+fBgvLy/8/f1x\nd3fXUFszxdFRtEf+6CNo2lSsCEdGQqofGJL0s2PHDv744w/GjBlDzZo18ff3Z9CgQbz77rvZKhVH\nIskI8p1hQJJTkll0fBHVfq3GhdsXCOsUxttOb2doDEMX4M7OmJMvT5wQ1Z+GDxd7frKCOdllLMzZ\nxrS65c6dG19fX9577z2cnJw4ffo0s2fPZt++fRppaHgMPh+KItoj374t0h9MJTedmPP1l5pcuXLR\npUsXjh8/zsqVK1FVleDgYIoXL07z5s1ZsGAB169fN6lOcs4k5o4MfA1AckoyocdCKfdLOdoubUtx\n++Js77I9U7V7Bw4caAQNsyfm5MsxY0RlJ0Okv5mTXcbCnG0cMGAAV65cYe/evSxfvpwpU6YwevRo\nQkNDiY+Pp0SJEtSsWZNSpUpprarBMNh8JCXBggWiJXKHDqJG8GsCX62uA3O+/l6GlZUVwcHB7Ny5\nk/DwcJo3b86mTZvo2LEjRYoUoWzZsvTt25dVq1Zx9+5do+oi50xi7shUhyyQnJLMwuMLGRk+klO3\nTtHYszGz359NNbdqmR5zypQpBtQwe2Muvrx8Gf74QwS/hmhWYS52GRNzs/Hq1ascPnyYmJgYSpcu\nzaxZs7C2tsbFxYUSJUoQEBCAq6srDg4OutwJnuX5uHlTBLwTJ/5/e3ceJ0VxNnD898ByeAEesAQU\nUA5FfEFQUAQVNQJRghIU5QU17AZX0YgSjEcgINkYVAwRBTUKeAFBI3LoixiOBBEF5RAPbgRUkPtG\nWHZ53j+qlwzjsuzsTnfPzjzfz2c+sDM9XU9Vdc/UVFdXudVb2rVzSxe2aVPo3eJhHQeJdvzFonXr\n1rRu3Zo+ffpQoUIFZs6cyYwZM5g8eTLDhg2jTJkyNG/enKuvvprLL7+cSy+9lFNPPTVu6YdZZ1u3\nbg0lbVO6WMO3GHIP5zLui3Fkf5jNim0ruK7+dbx646u0qNmixPsuTdPoJLpEKcs333SzPcVrZqFE\nyZefEiWPeXl5/Oc//2HOnDlUqVKFWrVqceGFF1KzZk3S09NTZtWrYtXHgQMwZYq7kW3qVNfAvflm\nN8NDk6JdDUuaqbFCkJ+Hrl270rVrVwDWrFnDjBkzmDlzJiNHjuQvf/kLAOeffz6XXXbZkUeDBg2K\n/QMuzDqzhq8pCmv4xiD3cC5jvxhL9uxsVm5fSYcGHXij0xs0r9k87NBMApsxA1q3Lt5iFSY8W7du\nZcKECWzatIk2bdrQunVru2HoeFRh7ly3Qsv48bBrF7Ro4Xp3b7nF3dxmQnPOOedwzjnn0LNnT1SV\nNWvWMHfuXObOnctHH33EyJEjUVVOP/30oxrCF198MSeeeGLY4RsTF9bwjUHm5Exe+/w1Op7bkXGd\nx3FRjYvCDskkuNxcN29v//5hR2KKavPmzXzyyScsWbKEKlWqkJmZSQ1berdwa9a4nt3XX3dLGZ91\nlpun97bb4Lzzwo7OFEBEqFu3LnXr1uW2224DYNeuXcybN+9IY/jxxx9nz549lC9fnnbt2tG5c2c6\nduwY16ERxgTNui+KSFV5b8V7PNL6ESbdOsm3Ru8TTzzhy35TUSKU5dKlsG8ftGwZv30mQr78FnQe\nVZXVq1fzxhtv8Pzzz7Nq1SquvPJKsrKyftLoTYXyj1ZgnnfuhJdegssvd8sXDxniVm6bNQvWrnUr\nuJWw0RtWWSdDHRcnD5UrV6Zt27YMHDiQDz74gB07drB48WIGDx7M9u3b6dGjB9WqVaN9+/a8/PLL\nbNmyJS7pxkMy1JkJhvX4FtHanWvZ9uM2mqTHPlNDLPbv3+/r/lNJIpTlggVuaGPTpvHbZyLky29B\n5vGbb75h6tSpbNmyherVq9OpUycaNWp0zPG7qVD+0Y7K88qVblLqSZPcLA3XXutuXLvxRojz5fCw\nyjoZ6jgeeShbtixNmjShSZMmPPDAA2zYsIF33nmHt99+m6ysLLKysmjTpg2DBg06sniG1ZlJdNbj\nW0RpZdKoemJVekzqwaMzHmXngZ2+pPPYY4/5st9UlAhl+cUXcM45cEoc1zBJhHz5Lag8qiqTJ0+m\nXLkIRRXtAAAdZ0lEQVRy3HHHHdx55500bty40JvWUqH8ox3J85w5cOml8OmnkJ3tpix5/323EIUP\nY0DDKutkqGM/8lCjRg3uueceZs6cycaNG3nhhRf4/vvv6du3r6/pFkUy1JkJhjV8i+isymex6r5V\n9GnZh7998jfqDqvL0I+HcjD3YNihmQS2bBk0jG0NExOg1atXs3PnTn7xi19Qp06dpJyKLG7+8Q+4\n5hpo3Nhdyujb101ObVJStWrV6NmzJ7169WLhwoUcPGjfhaZ0sIZvDCpVqET21dmsum8VNzW8iQf/\n9SBtXm3D/kN2icUUbNkyOPfcsKMwx7J48WLS09OpWdLl9JLdunXQtatr6L77LtjNTcazf/9+cnJy\nWL9+fdihGFMk1vAthhqn1ODFX77IRxkfsWTTErpN6Ebe4by47NvmIYyfsMvywAF3j0+8G75h5ysI\nQeRRVVm3bh3169ePqac3Fco/2tYTT4QBA9zQhssvhy+/DCbdkMo6GerY7zyoKtnZ2TzyyCPcfffd\n1KtXL5B0jyUZ6swEwxq+JXDJmZcw/qbxTF4+mT7T+qCqJd5nRkZGHCIzEH5ZrloFhw/HfzansPMV\nhCDyuGPHDvbu3RvzhPupUP7RMjIzYeBAmDcPDh6Eiy5ySxHmxecH/zHTDamsk6GO/czDqlWr6NGj\nB/379yc7O5vhw4cf+fFodWYSnTV8S6hDgw4Mv244w+YP48mPnizx/gYOHFjyoAwQfll+8YX79/zz\n47vfsPMVhCDyWK5cOdLS0li+fHlM70uF8o92JM8XXeTG9/buDQ8/7Hp/V670P92AJUMdxzsPubm5\nTJw4kXbt2lG/fn0mT57MqFGj+MMf/nDUFROrM5PorOEbB3ddfBd/vOKPPDzjYUYvGl2ifTVr1ixO\nUZmwy3LhQqhdG04/Pb77DTtfQQgij6eccgrt27dnwYIFfP3110V+XyqUf7Sj8lyxouvt/fBD2LzZ\nLT/83HPu8oaf6QYoGeo4XnnYsGEDgwYNok6dOnTq1ImdO3cyevRovv/+e3r06OFburFKhjozwbB5\nfONkYJuB/LD3B3pO6UnVk6rSoUGHsEMyIVuyJL7z95r4a9asGWvWrOGdd95h+/bttGzZstCpzEyE\nVq3g88/h97+H3/7WDWgfMiTsqEycbN26lT//+c+MGDGCtLQ0unXrxl133WUNTFPqWcM3TkSEEdeP\nYMv+LXR5qwszbp9By7PiuFyXKXW2bIFLLgk7ClMYEeHGG29k1qxZzJw5kyVLltChQ4eYx/2mrJNO\nguHDoX59eOABaNECunQJOypTAnv37mXo0KE89dRTAPTr14/77ruPypUrhxyZMfFhQx3iqGyZsozt\nPJbmNZtz/djrWbkt9rFvI0eO9CGy1BR2We7Y4c+sT2HnKwhB5rFcuXK0bduWO++8k/LlyzN69Ggm\nTpxY4HKsQceWKI6b59694dZbISMDVqwILl2fJEMdFycPY8aMoV69emRnZ5OZmcnq1avp379/TI1e\nqzOT6KzhG2cV0yoy6dZJnH7i6WRMzuCwxjbubeHChT5FlnrCLMsDB+C77+Css+K/71Q4RsLIY/Xq\n1cnIyOC6665j9erVjBgxgjfeeIOVK1ceNWNLKpR/tOPmWQReeskNaB8wILh0fZIMdRxLHg4cOEBW\nVhbdu3enTZs2rFixgqFDh1K1alVf042nZKgzEwxr+PqgSsUqvPzLl5mzfg7Pf/p8TO8dPny4T1Gl\nnjDL8osvIDfX3QQfb6lwjISVxzJlytC8eXPuv/9+OnXqxP79+xk7dizDhw/n008/5dChQylR/tGK\nlOeTT4ZHH4Xx493KLUGl64NkqOOi5mHNmjVcdtllvPrqq7z00kuMGzeO2rVr+55uvCVDnZlgWMPX\nJ1fWuZK7LrqLh2c8zLqd68IOxwTs3/+G8uXd6q6m9ClbtiyNGzemZ8+e9OjRg/T0dKZOncrLL7/M\n7t27ww4vcf361+4yx003werVYUdjCrFjxw4eeughGjVqxO7du/n444/5zW9+Y8t2m6RnN7f56Ilr\nn+Ddle+S9W4WU7tNtQ+UFHH4MLz4Itx8s5v5yZReIkKtWrWoVasWmzdvZsyYMYwcOZLu3bsX6zJw\n0qtQAd5/H264AZo3d72/114bdlQmwv79+3n22WcZPHgwOTk59O3blwcffJBKlSqFHVpCeWjkSiqf\ndHQT6ebL0+lyRXpIEQXnzdmbeOvDTUc9t2tfbkjRxJ81fH1UqUIlXrj+BTqM68DoxaPJaGory6SC\n9993nV2vvx52JCaeqlWrRmZmJmPGjGHUqFFkZmZyxhlnhB1W4mnYEObPh65doX17t+LbQw+5SyAm\nVPPmzeNXv/oVmzdvJisri379+lG9evWww0pIT2TWp2ndU8IOIxRdrvhpA3/R6j20/t1nIUUUXzbU\nwWfXN7iejAsz6PVeLz79/tPjbt+xY8cAokoNYZSlKmRnu2nMLr3UnzRS4RhJ1DxWqlSJMWPGcPDg\nQQ77sGBDooq5PqpUgXffdWN+H3vMDXb/+GP/042TRD3+YhGdh8OHD3P33XdTrVo1li5dynPPPedL\no9fqzCQ6a/gGYPj1w7mw+oXcOP5GNu7ZWOi29957b0BRJb8wynLaNPf9PnCgu9HdD6lwjCRqHnfv\n3k39+vW5+OKLqVatWtjhBKZY9VG2LPzpT26J4xNPdAte9OoFMYyRDus4SNTjLxbReRg3bhyLFi3i\nueeeo169eoGlG5RkqDMTDGv4BqBiWkUm3DIBgNsn3n7U1EjR2rZtG1RYSS+Msnz6adfb266df2mk\nwjGSqHlctmwZderUASAnJyfcYAJUovpo0gTmzoVnnnHjfzp1grw8/9MtgUQ9/mIRmYeDBw/Sr18/\nbrjhBlq1ahVYukFKhjozwbCGb0BqnFKDUR1HMX3NdEYusom2k9GWLTBzJvTo4V9vrwlXs2bNuOqq\nq1i0aBEjRoxg+fLlYYdUOpQt65Y1njQJZs2CJ58MO6KUMmLECL799lsGDx4cdijGhM4avgFqV68d\nPS7swe8++B2b9m46/htMqTJpkvu3U6dw4zD+SUtL44orruDuu+/mjDPO4B//+Adjxoxh5cqVKTXm\nt9iuvhoeeQT694clS8KOJiUcOnSI7OxsMjIyOO+888IOx5jQWcM3YEPaDiEnL4dXFr9S4OsTJ04M\nNqAkFnRZzpkDTZuC30M/U+EYSeQ8Tpw4kdNOO41u3bpx0003sWfPHsaOHcuwYcOYPXs2e/bsCTvE\nuItrffzxj26ow4IFwaYbg0Q+/ooqPw9lypShcuXKrFu3rtBhdvFON2jJUGcmGNbwDdhpJ5xG54ad\nGbV4VIEfQk888UQIUSWnoMty8WJo1sz/dFLhGEnkPObHJiI0atSIrKwsMjMzOfvss5kzZw5Dhw5l\n/PjxrFq1KpCGRhDiWh8VKkBaGvz4Y7DpxiCRj7+iys9D2bJlGTZsGB988AFvvfVWYOkGLd7p/mvh\ntmK9783ZxbuaW1relwys4RuC7o27s2LbCpZt/emynjYpfvwEWZYHD8JXX7keX7+lwjGSyHmMjk1E\nOPPMM7nhhhvo06cP7du3Z/v27YwZM4YXX3yRL7/8stQPg4h7fZx6KvzwQ/DpFlEiH39FFZmHDh06\n0Lp1a0aNGhVoukGKd7rTF20v1vuiF35ItvclA1vAIgQNz2gIwLpd62hYtWHI0Zh4+OoryM2FCy8M\nOxITpooVK9KiRQuaN2/OunXrmDNnDm+//TazZs2iVatWNG7cmLQ0+9ilVSu3rrcJzJ49ezj//PPD\nDsOY0FmPbwhqnFIDQVi/a33YoZg4WbTIzeTQuHHYkZhEICLUqVOH7t2707NnT9LT05kyZQrDhg3j\n66+/Dju88F1zDXzyCWzeHHYkKSEnJ4elS5dywQUXhB2KMaGzhm8Itu7fiqKcdsJpYYdi4mTRIjj3\nXDjppLAjMYmmRo0adOnShXvuuYeaNWvy1ltvMWHCBA4cOBB2aOG5+WaoXBkyMtxyh8ZX06ZNIycn\nhzZt2oQdijGhS6ZrbhUBli5dGnYcxzV73WzYACdsOYGFCxce9dr8+fN/8lyiiCjbiiXYTWD1FGRZ\nzpkDtWtDEMkdL19xqqcj7w/jnErk86AkseWvmDVr1iy2bz8yhjDh68mX+ujfH3r3hr59oVu34NIt\ngsh0S+v5FJmH/NXaDh065Ht5hlln8fyO2nsgj0WrY5+hZde+3KR83/Lv9uX/9ydlu3zN/pjSjnX7\nuFPVpHgA/wuoPQJ5/K/VU6l4FLuerK6snuxh9VSKH/YdFUDZArWAfcXczz6gVhjtRfGCL/VE5HSg\nHbAWSOFriL6qCNQBpqlqseZ6sXoKRInrCayuAmD1VDpYPZUe9h3lnwLLVkRqAWcUY39bVTWUG52S\npuFrjDHGGGNMYezmNmOMMcYYkxKs4WuMMcYYY1KCNXyNMcYYY0xKsIavMcYYY4xJCdbwNcYYY4wx\nKcEavj4TkctFZLKIfC8ih0WkYwHbDBKRDSKyX0T+JSL1ol6vICLDRWSriOwRkX+KSLXgclG6iMg9\nIvKNiPwoIp+ISPOwYyqpohxHySLR6k9EBnhlHvlIunWH4/FZVcx0HxGR+SKyW0Q2icg7ItLA77RF\n5C4R+VxEdnmPuSLS3s80/VaUPAUQw8Pe8fPXANJKiXPTxJc1fP13ErAY6IWbtPkoIvIQcC9wJ9AC\nN6nzNBEpH7HZ34Drgc7AFUAN4G1/wy6dROQW4GlgANAU+BxXnsWZZzCRFHocJYsErr8vgXSguvdo\nHW44vojHZ1VxXA48C1wC/BwoB3wgIif4nPa3wENAM+AiYCYwSUQa+pim3wrNk9+8H6l34s7boKTC\nuWniKYxVM1L1ARwGOkY9twF4IOLvSsCPQJeIvw8CnSK2OdfbV4uw85RoD+AT4JmIvwX4Dvh92LH5\neRwlyyMR6w/XCF8YdtkEnOeYP6vimPYZXvqtQ0h7G9AjyDQDqMsjefI5nZOB5cDVwCzgrwGkmXLn\npj1K/rAe3xCJyNm4X6gz8p9T1d3APKCl99TFQFrUNsuB9RHbGEBEyuF6OSLLSoHpWFklvASvv/re\nEIDVIvKGiJwVcjyBKuJnVbxUwfU4bw8qbREpIyK3AicCcwPOry+i8vRxAEkOB6ao6swA0oqU0uem\niV1a2AGkuOq4D/hNUc9v8l4Ddwknx/vQPdY2xjkDKEvB5Xlu8OGYGCVq/X0C/BrXm/UzYCAwW0Qu\nUNV9IcYVpKJ8VpWYiAhuaNccVc0fq+lb2iJyAa5RWBHYg7uytlxEWvqVpt+OkadlPqd5K3AhrqMm\nSHZumphZw9cYYwqhqtMi/vxSROYD64AuwOhwokpaI4DzgVYBpbcMaAJUBm4CXhORKwJK2y8F5smv\nxq+InIn7sfJzVT3kRxrHkmrnpoj8CWinqi3CjqU0s6EO4foBN4YxPer5dO+1/G3Ki0ilQrYxzlYg\nj8LL0ySuUlF/qroLWAEk9B3+cVaUz6oSEZHngOuANqq6MYi0VTVXVdeo6iJV/QPupqzefqbpt0Ly\n5JeLgKrAQhE5JCKHgCuB3iKS4/XiByIRzk0RGe3NLpEXMdNEnoicE4fd/wVoF4f9pDRr+IZIVb/B\nfYhek/+c18C9BJjrPbUAyI3a5lygFsGM2yo1vN6GBRxdVuL9PfdY7zOJobTUn4icjPti3Xi8bZNF\nET+ris1r9N4AXKWq64NMO0oZoELAafqtDFDBx/1PB/4HN9Shiff4DHgDaOKN0w9EAp2bU/nvLBPV\nccMwvinpTlV1v6ruKOl+Up0NdfCZiJyEOxHzf/WeIyJNgO2q+i3uElE/EVkFrAX+hLuLfRK4GypE\nZCTwVxHZgRuzNQz4SFXnB5qZ0uGvwCsisgCYDzyAu7njlTCDKqkiHEfJIuHqT0SeAqbgLqHWBB4D\nDgHjworJDyX9rCpBuiOArkBHYJ+I5Pey7lLVA97/4562iDyOa6CsB04BuuF6Ktv6labfipCnuPPG\n0h41d66I7AO2qepSv9L10knUc/Ogqm6JflJErgMeBRrhrm7NBXp7P7TytzkLGIKb2q8C8BXQS1UX\neEMd2qtq84jts4D7gTrAGtysOH/3XisPPIP7UXkq7gfBCFUdEvcclyLW8PXfxbipXdR7PO09/yqQ\noapPisiJwIu4u5k/BH6hqjkR+3gAd5L8E3civA/cE0z4pYuqvunN+ToId1lyMW5M1E8+hEqZQo+j\nsIKKtwStvzOBscDpwBZgDnCpqm4LMSY/xOOzqjju8tL7d9TzPYDXAHxKuxoubz8DdgFLgLb5sxL4\nmF8/FZqnAAXVy1vazs0TgKdw9VIJyMbNyd8MjvRYz8Y1YK/H3UzZlKOvzh8pWxG5A/gDbr7pz739\nvCwie1R1HNAHNzSiM+5HWy3cD4SUJgFehTDGGGOMSVoiMhroDhyIePr/VPWWAratjpsv+jxVXSEi\nvXCN4dqquqeA7Y+6uU1EvgH6qurbEdsMwA0ZaiMiw4G6qhro6n2Jznp8jTHGGGPiZybuSkb+sKF9\nACJSHzdkpgVu+kbB9eDWwt2U1wRYUFCjN5o35rw28KqIvBLxUlncjcLgZrb4QESW4a4UT1HVGaQ4\na/gaY4wxxsTPvshxuxHewzVwM3DjbcvjhijkL4P9YwxpnOz9+2tgYdRreQCq+pmI1AZ+gRsz/LaI\n/J+q/m8M6SQda/gaY4wxxvhIRKrhbh69TVXnec+1idpsCXCbiFQqYNGqo6jqBhHZhBvK8M9CttsD\nvAm8KSITgSkicqeq7i1Bdko1a/gaY4wxxvhrG7ADyBKRLcDZwGCOvhHwDeBh4B0R6YebUq8ZsE5V\nPytgnwOBISKyF/gAt1pfc+BkVR0mIr8DvsXdJAxwM/B9Kjd6webxNcYYY4zxlarmAbfg5oL+Eje7\nQ9+obXJwQxJ24KalWwI8iDd0oYB9vogbS5zpbTsTd2Nd/jCLvcAjuHmV5wE1cLNFpDSb1cEYY4wx\nxqQE6/E1xhhjjDEpwRq+xhhjjDEmJVjD1xiT0ERkgIgsCjsOY4wxpZ81fH0mIuki8oyIrBSRH0Vk\no4h8KCJ3iUhFb5u1InLYe+wTkSUikhl27KlKRK706qJS2LGUZiIy2ivHPBHJEZEfROQDEekhInL8\nPRwlcpnO0SIyoRjx3BERT56IfCsio0SkasQ2h0Wk4zHyMuFYfye7qLo86H2e9ReRMoWdLyLyjYjc\nV8jf+Z99LaLeN1REZkX8PSAi/UMiskVE/iMivUWkPKbYCqnbshF1mxfxHZX/d7WwYzemOKzh6yMR\nORs3jcjPcVOUXAi0BJ7E3Vn5c29TBfoB1YFGwOvASyLSLuiYE1FkI0NEXimswRH1I2K/90U7XkSu\nijHZuN/1KSI9RWSWiOwqpKFwqoiM8bbZISIvi8hJ8Y4lQFNxx3VtoD3uruNncHNJhvH5s8uLpybw\nG9zE7q+GEEdplF+X9XB3pA/gv3elF/d8Udyk/U8c47VIX3rpnwW0wc1N+ggwt5SfI4mgoLr9nfea\nAg281/MfP1PVzSHEaUyJWcPXX88DOcBFqvq2qi5X1bWqOkVVf6mq70Zsu1dVN3uvP4Wb8+/aUKJO\nbMf7go38EdEAuA3YCUwXkUd8ju14TsB9wfyZY+djLNAQuAb34+gK4MVAovPHQVXdoqobVXWxqg4G\nbgCuw604hIhU9hr4m70G/3QRaVzQzsStQ38HcENEz9MV3muDRWS5d9VktYgMEpGyUbtQL54fVHUa\nrhF+rYhU8Cn/ySS/Lr9V1b8D03F1WVJ/By4VkfbH2S43ou6+UtXhwJXABcBDcYgjlR2vbrd4309H\nHiHFaUyJWcPXJyJyGq7h+pyqHojhfSIinYHTcI1mE7v8HxHfqeocVc3CrY8+SNxa6TETkc4i8qWI\nHPB6kftEvV5dRN7zeplXiUiX6Mu6qjpMVZ/EzadYUBrnAe2ATFX9TFXnAr8FbhWR6sWJOxGp6izc\nMp2/8p76J3A6Lu/NcMtvTheRKgW8fQiup+99IB34GTDXe203cDvuh8N9uB7dB44TzkHc52C5YmYn\nlR3gv0utlsQ3wAu4yfxjoqrLcT8mf3W8bU1Mous21qFJxiQsa/j6px7uw2JF5JPe2LQ93uMvES89\nISJ7cF/Eb+F6fF8OLNrk9wzueI+5h0pELgLG43pjL8BdBvyTiNwesdnruF7mK4CbgLuBqsSmJbBD\nVSNv5JqO6x2+JNa4E9wyoI6ItMKtNNRFVRep6mpV/T1uSMJN0W9S1X24S+P5PVSbVTXXe+1xVZ2n\nqutV9T3gaaDLsQLwfgRlAZ9GrWQ0LuIc3eOdlym9tn00Efk57ofKjPyngO8KKLezirjLPwNni0i3\nYoSzDKhTjPeZAhyjbr+NqtsvwovQmJKxJYuD1xzXABsLRF5efQp4BdeD9RQwQlXXBB5dklLVHSKy\nmeJ9QT4ATFfVx72/V4lII9yKOq95PbXX4Ia0LAIQkd8AK2NMpzpw1CVEVc0Tke3ea8lEcA36JsDJ\nwHY5+n63ikDdmHYocguuh7yut880XAM6UhUR2Q2UxZ1/HwI9o7a5n/9+6ed7Euso+KXXmC2Hq78x\nwGNAC1xdtsatFBXpP0XZsapuFZEhuKsy42OMK/9YMsUXa90eCjxCY+LEGr7+WYX7wDg38klVXQsg\nIj9Gbb/Va+iuEZEuwBci8pmqLgsi2BRR3C/IhsDEqOc+AnqLa601AA5F9tSq6moR2VHsSJNfQ9wl\n7pOBDbixmtGXU3cWdWcicilunfv+uDXrdwFdgT5Rm+4GmuKOg42qerCA3W2K/tHpNQoqFzWeJDUT\ntzzqIWCDqh4GiPjBslZVd0e+QURyY9j/X3FXSu6JMa78Y8kUX8x1a0xpZQ1fn6jqdhH5F3CviDyr\nqtEN3cLe+53X6zEYuNG3IFOIN+a6Kon9BfkDcNQUQd7NWad5ryUFEbka+B/cUIQNuN7sPFVdX8Rd\n5OB6bCNdhvtyPjJOVETqFPDew6qayMdAItvnZ9mp6j4RyQYGApOL8h7vakt73FAJU3y+1q0xiSTV\nL935rRfux8Vn3s1O54lIAxHpDpwHFNYb8gzu8lOzIAJNAfcDefy057YolgKtop5rDaxQVQWWA2ki\n0jT/RRGpB5waYzof4y7FN4147hpcT2iBN8SVAhXEzWVdQ0SaisijuDqYDLyuqtNx+Z4oIteKSG0R\nuUxEsgs59tcCjb1z6XQRScMNK6klIreIyDneTYX2ozE48br56e+43vqCxlSnecfSz0TkAhH5LfBv\n3M2QQ+KUvvkpAdK9so98WMeZKZXswPWRqq7xGjGPAo8DZ+JuXvsabxxv/qYFvHepiEwDBgEdgom4\n1KgiIk2intumqt95/z9FRNJx49XOxk1plgE8HMO46cgv8qeB+SLSD3eT22W4y7F3gbuzXERm4OZe\nvhv3g2YIsJ+jF15Ix/Vu1vf239i7hL5eVXeo6jKvzvP3Ux54FhinqqW1x7c9rlc3F9iBm83hXlV9\nLWKb63A9dqNwvfI/ALOBTcfY50u4oRGfAScBV6nqFBEZiiuvCsB7uHNnYIzx2ljR4jlWuUU/X+jf\nqporIv1xY0yjt22EO5bycI3jr3HHzQuqamNO/aO4Gwjz5Q8ZawnMDyUiY0pAXIeVMYlLREYDlVS1\ns/f/2wvYbKSq3iki3wC1vOdycI2oT4DnVXV2EdO7Ejfm7dT8cW0i0gnXkKoPbASGqerQiPekAyOB\nq700HwX+BvRX1Ze8bQbgZoSIPul65DcEvSm8ngN+CRzGTfXVW1X3FyV2Y4wxxhybNXyN8YGInAms\nB67x5q01xhhjTMis4WtMHIhbEvlk4AugBm76q+rAuaqaF2ZsxhhjjHHs5jaTckTk+eiJ9r3HbhEZ\ncfw9FKgcbhz3l8DbuOEOV1mj1xhjjEkc1uNrUo6InAFUOsbLu1V1a5DxGGOMMSYY1vA1xhhjjDEp\nwYY6GGOMMcaYlGANX2OMMcYYkxKs4WuMMcYYY1KCNXyNMcYYY0xKsIavMcYYY4xJCdbwNcYYY4wx\nKcEavsYYY4wxJiX8P/Ti6t1xU846AAAAAElFTkSuQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# DNN model Prediction\n", + "y_test = model_dnn.predict( X_test , batch_size=n_per_batch, verbose=0)\n", + "predictions_dnn = np.zeros((len(y_test),1))\n", + "for i in range(len(y_test)):\n", + " predictions_dnn[i] = np.argmax(y_test[i]) + 1 \n", + "predictions_dnn = predictions_dnn.astype(int)\n", + "# Store results\n", + "test_data = pd.read_csv('../validation_data_nofacies.csv')\n", + "test_data['Facies'] = predictions_dnn\n", + "test_data.to_csv('Prediction_StoDIG.csv')\n", + "\n", + "make_facies_log_plot(\n", + " test_data[test_data['Well Name'] == 'STUART'],\n", + " facies_colors=facies_colors)\n", + "\n", + "make_facies_log_plot(\n", + " test_data[test_data['Well Name'] == 'CRAWFORD'],\n", + " facies_colors=facies_colors)" + ] + } + ], + "metadata": { + "anaconda-cloud": {}, + "kernelspec": { + "display_name": "Python [default]", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.5.2" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/StoDIG/Prediction_StoDIG.csv b/StoDIG/Prediction_StoDIG.csv new file mode 100644 index 0000000..1b799c9 --- /dev/null +++ b/StoDIG/Prediction_StoDIG.csv @@ -0,0 +1,831 @@ +,Formation,Well Name,Depth,GR,ILD_log10,DeltaPHI,PHIND,PE,NM_M,RELPOS,Facies +0,A1 SH,STUART,2808.0,66.27600000000001,0.63,3.3,10.65,3.591,1,1.0,3 +1,A1 SH,STUART,2808.5,77.252,0.585,6.5,11.95,3.341,1,0.978,3 +2,A1 SH,STUART,2809.0,82.899,0.5660000000000001,9.4,13.6,3.0639999999999996,1,0.956,3 +3,A1 SH,STUART,2809.5,80.671,0.593,9.5,13.25,2.977,1,0.9329999999999999,2 +4,A1 SH,STUART,2810.0,75.971,0.638,8.7,12.35,3.02,1,0.9109999999999999,2 +5,A1 SH,STUART,2810.5,73.955,0.667,6.9,12.25,3.0860000000000003,1,0.889,2 +6,A1 SH,STUART,2811.0,77.962,0.674,6.5,12.45,3.092,1,0.867,2 +7,A1 SH,STUART,2811.5,83.89399999999999,0.667,6.3,12.65,3.123,1,0.8440000000000001,2 +8,A1 SH,STUART,2812.0,84.42399999999999,0.653,6.7,13.05,3.1210000000000004,1,0.8220000000000001,2 +9,A1 SH,STUART,2812.5,83.16,0.642,7.3,12.95,3.127,1,0.8,2 +10,A1 SH,STUART,2813.0,79.063,0.6509999999999999,7.3,12.05,3.147,1,0.778,2 +11,A1 SH,STUART,2813.5,69.002,0.677,6.2,10.8,3.096,1,0.7559999999999999,2 +12,A1 SH,STUART,2814.0,63.983000000000004,0.69,4.4,9.7,3.103,1,0.733,2 +13,A1 SH,STUART,2814.5,61.797,0.675,3.5,9.15,3.1010000000000004,1,0.711,2 +14,A1 SH,STUART,2815.0,61.372,0.6459999999999999,2.8,9.3,3.065,1,0.6890000000000001,2 +15,A1 SH,STUART,2815.5,63.535,0.621,2.8,9.8,2.9819999999999998,1,0.667,2 +16,A1 SH,STUART,2816.0,65.126,0.6,3.3,10.55,2.9139999999999997,1,0.644,2 +17,A1 SH,STUART,2816.5,75.93,0.5760000000000001,3.4,11.9,2.845,1,0.6,2 +18,A1 SH,STUART,2817.0,85.07700000000001,0.584,4.4,12.9,2.8539999999999996,1,0.578,2 +19,A1 SH,STUART,2817.5,89.459,0.598,6.6,13.5,2.986,1,0.556,2 +20,A1 SH,STUART,2818.0,88.619,0.61,7.2,14.8,2.988,1,0.5329999999999999,2 +21,A1 SH,STUART,2818.5,81.593,0.636,6.4,13.9,2.998,1,0.511,2 +22,A1 SH,STUART,2819.0,66.595,0.7020000000000001,2.8,11.4,2.988,1,0.489,2 +23,A1 SH,STUART,2819.5,55.081,0.789,2.7,8.15,3.028,1,0.467,2 +24,A1 SH,STUART,2820.0,48.111999999999995,0.84,1.0,7.5,3.073,1,0.444,2 +25,A1 SH,STUART,2820.5,43.73,0.846,0.4,7.1,3.1460000000000004,1,0.42200000000000004,2 +26,A1 SH,STUART,2821.0,44.097,0.84,0.7,6.65,3.205,1,0.4,2 +27,A1 SH,STUART,2821.5,46.839,0.8420000000000001,0.8,6.6,3.2539999999999996,1,0.37799999999999995,1 +28,A1 SH,STUART,2822.0,50.348,0.843,1.1,6.75,3.23,1,0.35600000000000004,1 +29,A1 SH,STUART,2822.5,57.129,0.8220000000000001,2.2,7.3,3.237,1,0.33299999999999996,1 +30,A1 SH,STUART,2823.0,64.465,0.777,4.4,8.4,3.259,1,0.311,1 +31,A1 SH,STUART,2823.5,70.267,0.7290000000000001,7.1,9.85,3.2889999999999997,1,0.289,2 +32,A1 SH,STUART,2824.0,76.566,0.664,10.7,11.55,3.3810000000000002,1,0.244,2 +33,A1 SH,STUART,2824.5,76.778,0.643,10.7,12.25,3.452,1,0.222,2 +34,A1 SH,STUART,2825.0,73.971,0.632,9.7,12.55,3.3960000000000004,1,0.2,2 +35,A1 SH,STUART,2825.5,74.314,0.622,8.8,13.1,3.1439999999999997,1,0.17800000000000002,2 +36,A1 SH,STUART,2826.0,77.031,0.583,4.8,16.2,3.034,1,0.156,2 +37,A1 SH,STUART,2826.5,74.469,0.517,4.8,19.2,2.931,1,0.133,2 +38,A1 SH,STUART,2827.0,73.327,0.489,6.3,20.35,2.88,1,0.111,2 +39,A1 SH,STUART,2827.5,74.575,0.526,4.9,19.25,2.795,1,0.08900000000000001,2 +40,A1 SH,STUART,2828.0,70.536,0.5579999999999999,6.5,17.05,3.009,1,0.067,2 +41,A1 SH,STUART,2828.5,62.93899999999999,0.528,7.6,18.8,3.073,1,0.044000000000000004,3 +42,A1 SH,STUART,2829.0,57.137,0.511,10.9,19.15,3.313,1,0.022000000000000002,3 +43,A1 LM,STUART,2829.5,47.345,0.584,7.0,16.3,3.5269999999999997,2,1.0,8 +44,A1 LM,STUART,2830.0,35.733000000000004,0.73,6.4,10.2,3.928,2,0.987,8 +45,A1 LM,STUART,2830.5,29.326999999999998,0.873,2.7,7.85,4.33,2,0.9740000000000001,8 +46,A1 LM,STUART,2831.0,28.241999999999997,0.963,1.4,6.3,4.413,2,0.961,8 +47,A1 LM,STUART,2831.5,34.558,1.018,1.8,5.6,4.511,2,0.9470000000000001,8 +48,A1 LM,STUART,2832.0,43.754,1.054,1.8,5.2,4.412,2,0.934,6 +49,A1 LM,STUART,2832.5,53.611999999999995,1.067,1.5,5.05,4.226,2,0.9209999999999999,6 +50,A1 LM,STUART,2833.0,60.718999999999994,1.0390000000000001,1.9,4.85,3.931,2,0.9079999999999999,6 +51,A1 LM,STUART,2833.5,66.538,0.94,2.7,5.45,3.7030000000000003,2,0.895,6 +52,A1 LM,STUART,2834.0,75.52199999999999,0.8009999999999999,4.0,7.3,3.5010000000000003,2,0.882,6 +53,A1 LM,STUART,2834.5,95.979,0.6920000000000001,6.5,9.55,3.346,2,0.868,6 +54,A1 LM,STUART,2835.0,130.26,0.644,8.3,11.15,3.242,2,0.855,6 +55,A1 LM,STUART,2835.5,160.167,0.643,9.3,12.15,3.2939999999999996,2,0.8420000000000001,4 +56,A1 LM,STUART,2836.0,176.528,0.6729999999999999,9.1,12.05,3.298,2,0.8290000000000001,4 +57,A1 LM,STUART,2836.5,175.622,0.72,8.9,12.15,3.3489999999999998,2,0.816,4 +58,A1 LM,STUART,2837.0,153.965,0.7559999999999999,7.6,11.9,3.31,2,0.8029999999999999,4 +59,A1 LM,STUART,2837.5,120.07600000000001,0.7659999999999999,7.2,12.2,3.365,2,0.789,4 +60,A1 LM,STUART,2838.0,91.434,0.787,7.1,12.15,3.392,2,0.7759999999999999,4 +61,A1 LM,STUART,2838.5,69.312,0.8740000000000001,4.6,10.4,3.293,2,0.763,6 +62,A1 LM,STUART,2839.0,54.828,1.0290000000000001,0.8,8.2,3.395,2,0.75,6 +63,A1 LM,STUART,2839.5,50.854,1.149,0.3,6.85,3.5,2,0.737,8 +64,A1 LM,STUART,2840.0,54.632,1.09,1.0,7.4,3.576,2,0.7240000000000001,8 +65,A1 LM,STUART,2840.5,56.835,0.924,4.1,8.45,3.555,2,0.711,6 +66,A1 LM,STUART,2841.0,60.393,0.7879999999999999,7.1,10.05,3.591,2,0.6970000000000001,6 +67,A1 LM,STUART,2841.5,58.94,0.733,8.1,11.15,3.576,2,0.684,5 +68,A1 LM,STUART,2842.0,49.718999999999994,0.754,6.1,10.75,3.6689999999999996,2,0.6709999999999999,5 +69,A1 LM,STUART,2842.5,41.403999999999996,0.8190000000000001,3.5,9.55,3.872,2,0.6579999999999999,6 +70,A1 LM,STUART,2843.0,36.084,0.882,1.6,8.2,4.125,2,0.645,6 +71,A1 LM,STUART,2843.5,29.344,0.897,0.1,7.25,4.23,2,0.632,8 +72,A1 LM,STUART,2844.0,24.072,0.841,-0.6,6.8,4.302,2,0.618,8 +73,A1 LM,STUART,2844.5,22.62,0.733,-2.5,7.65,4.348,2,0.605,8 +74,A1 LM,STUART,2845.0,22.408,0.597,-3.8,9.5,4.29,2,0.5920000000000001,8 +75,A1 LM,STUART,2845.5,21.184,0.469,-2.7,11.05,4.255,2,0.579,8 +76,A1 LM,STUART,2846.0,21.796,0.375,-2.3,13.35,4.213,2,0.5660000000000001,8 +77,A1 LM,STUART,2846.5,23.925,0.314,-1.8,15.1,4.363,2,0.5529999999999999,8 +78,A1 LM,STUART,2847.0,24.464000000000002,0.278,-1.3,16.15,4.495,2,0.539,8 +79,A1 LM,STUART,2847.5,26.039,0.257,-1.9,16.55,4.602,2,0.526,8 +80,A1 LM,STUART,2848.0,27.491,0.247,-2.5,16.45,4.544,2,0.513,8 +81,A1 LM,STUART,2848.5,28.193,0.249,-2.4,16.3,4.587,2,0.5,8 +82,A1 LM,STUART,2849.0,28.634,0.265,-1.9,16.15,4.678,2,0.48700000000000004,8 +83,A1 LM,STUART,2849.5,29.809,0.299,-1.0,15.2,4.8660000000000005,2,0.474,8 +84,A1 LM,STUART,2850.0,31.171999999999997,0.349,-1.5,14.15,4.783,2,0.461,7 +85,A1 LM,STUART,2850.5,33.448,0.418,-1.1,12.65,4.688,2,0.447,7 +86,A1 LM,STUART,2851.0,33.514,0.503,-1.2,11.3,4.628,2,0.434,7 +87,A1 LM,STUART,2851.5,35.146,0.593,-0.5,10.05,4.387,2,0.42100000000000004,8 +88,A1 LM,STUART,2852.0,35.953,0.6709999999999999,-0.7,9.45,4.291,2,0.408,8 +89,A1 LM,STUART,2852.5,35.178000000000004,0.7290000000000001,-0.6,9.0,4.178,2,0.395,6 +90,A1 LM,STUART,2853.0,36.109,0.773,0.1,8.35,4.203,2,0.382,6 +91,A1 LM,STUART,2853.5,38.769,0.82,1.3,7.55,4.262,2,0.368,6 +92,A1 LM,STUART,2854.0,39.510999999999996,0.873,1.3,7.05,4.387,2,0.355,6 +93,A1 LM,STUART,2854.5,40.523,0.927,2.6,6.5,4.006,2,0.342,6 +94,A1 LM,STUART,2855.0,42.693999999999996,0.9640000000000001,2.8,6.8,3.718,2,0.32899999999999996,6 +95,A1 LM,STUART,2855.5,45.297,0.9590000000000001,3.0,7.3,3.594,2,0.316,6 +96,A1 LM,STUART,2856.0,48.145,0.915,3.8,8.2,3.46,2,0.303,6 +97,A1 LM,STUART,2856.5,51.041000000000004,0.862,5.9,8.75,3.333,2,0.289,4 +98,A1 LM,STUART,2857.0,56.125,0.825,7.4,9.3,3.3360000000000003,2,0.276,4 +99,A1 LM,STUART,2857.5,62.205,0.807,6.4,9.9,3.362,2,0.263,4 +100,A1 LM,STUART,2858.0,64.865,0.794,4.7,10.25,3.2439999999999998,2,0.25,4 +101,A1 LM,STUART,2858.5,68.186,0.7709999999999999,4.1,10.25,3.174,2,0.237,4 +102,A1 LM,STUART,2859.0,72.421,0.743,4.1,10.55,3.174,2,0.22399999999999998,4 +103,A1 LM,STUART,2859.5,74.322,0.73,4.5,10.65,3.187,2,0.21100000000000002,4 +104,A1 LM,STUART,2860.0,72.543,0.748,4.1,10.35,3.359,2,0.19699999999999998,4 +105,A1 LM,STUART,2860.5,65.672,0.8140000000000001,3.5,9.05,3.6180000000000003,2,0.184,4 +106,A1 LM,STUART,2861.0,57.153,0.951,1.7,6.75,3.9019999999999997,2,0.171,6 +107,A1 LM,STUART,2861.5,46.056000000000004,1.148,0.1,4.55,4.221,2,0.158,6 +108,A1 LM,STUART,2862.0,37.961,1.324,0.0,3.3,4.561,2,0.145,6 +109,A1 LM,STUART,2862.5,33.579,1.402,-0.2,2.8,4.7989999999999995,2,0.132,6 +110,A1 LM,STUART,2863.0,31.212,1.439,-0.4,2.7,4.874,2,0.11800000000000001,6 +111,A1 LM,STUART,2863.5,30.176,1.486,-0.5,2.55,4.787,2,0.105,6 +112,A1 LM,STUART,2864.0,29.858,1.507,-0.7,2.75,4.622,2,0.092,6 +113,A1 LM,STUART,2864.5,29.923000000000002,1.433,-0.6,3.3,4.375,2,0.079,6 +114,A1 LM,STUART,2865.0,34.428000000000004,1.2790000000000001,0.0,4.0,4.115,2,0.066,6 +115,A1 LM,STUART,2865.5,39.935,1.1340000000000001,0.8,4.6,3.9789999999999996,2,0.053,6 +116,A1 LM,STUART,2866.0,39.935,1.1340000000000001,0.8,4.6,3.9789999999999996,2,0.053,6 +117,A1 LM,STUART,2866.5,46.823,1.05,1.3,5.15,3.727,2,0.039,6 +118,A1 LM,STUART,2867.0,57.968999999999994,1.01,2.0,5.2,3.537,2,0.026000000000000002,6 +119,A1 LM,STUART,2867.5,71.24600000000001,0.9540000000000001,2.3,5.65,3.4819999999999998,2,0.013000000000000001,6 +120,B1 SH,STUART,2868.0,82.54799999999999,0.843,3.2,7.2,3.532,1,1.0,3 +121,B1 SH,STUART,2868.5,92.119,0.718,4.9,8.95,3.484,1,0.968,3 +122,B1 SH,STUART,2869.0,93.564,0.635,7.0,11.1,3.4019999999999997,1,0.935,2 +123,B1 SH,STUART,2869.5,86.26,0.615,9.0,11.9,3.486,1,0.903,2 +124,B1 SH,STUART,2870.0,77.097,0.637,9.5,11.25,3.56,1,0.871,2 +125,B1 SH,STUART,2870.5,67.68,0.6509999999999999,9.2,10.7,3.4730000000000003,1,0.8390000000000001,2 +126,B1 SH,STUART,2871.0,64.04899999999999,0.639,8.5,10.65,3.4010000000000002,1,0.8059999999999999,2 +127,B1 SH,STUART,2871.5,67.566,0.621,7.5,11.45,3.307,1,0.774,2 +128,B1 SH,STUART,2872.0,69.72800000000001,0.604,7.1,12.45,3.28,1,0.742,2 +129,B1 SH,STUART,2872.5,67.96600000000001,0.5820000000000001,8.3,13.45,3.253,1,0.71,2 +130,B1 SH,STUART,2873.0,65.803,0.565,9.6,13.5,3.284,1,0.677,2 +131,B1 SH,STUART,2873.5,62.351000000000006,0.575,10.1,11.85,3.405,1,0.645,2 +132,B1 SH,STUART,2874.0,59.512,0.621,10.1,9.65,3.5039999999999996,1,0.613,2 +133,B1 SH,STUART,2874.5,61.176,0.691,9.9,8.15,3.5869999999999997,1,0.581,2 +134,B1 SH,STUART,2875.0,65.75399999999999,0.7509999999999999,9.6,7.7,3.605,1,0.5479999999999999,2 +135,B1 SH,STUART,2875.5,66.66,0.768,9.0,8.2,3.505,1,0.516,2 +136,B1 SH,STUART,2876.0,64.604,0.742,8.0,8.9,3.411,1,0.484,2 +137,B1 SH,STUART,2876.5,61.699,0.696,7.0,9.2,3.319,1,0.452,2 +138,B1 SH,STUART,2877.0,58.353,0.657,5.6,9.3,3.265,1,0.419,2 +139,B1 SH,STUART,2877.5,55.928999999999995,0.64,4.2,9.2,3.167,1,0.387,2 +140,B1 SH,STUART,2878.0,57.413999999999994,0.64,4.0,9.1,3.181,1,0.355,2 +141,B1 SH,STUART,2878.5,60.393,0.64,3.8,9.3,3.133,1,0.32299999999999995,2 +142,B1 SH,STUART,2879.0,65.90100000000001,0.636,4.2,9.9,3.1630000000000003,1,0.29,2 +143,B1 SH,STUART,2879.5,71.385,0.635,5.8,10.8,3.1310000000000002,1,0.258,2 +144,B1 SH,STUART,2880.0,75.816,0.625,4.9,13.55,2.997,1,0.226,2 +145,B1 SH,STUART,2880.5,75.334,0.5870000000000001,5.6,15.9,2.938,1,0.19399999999999998,2 +146,B1 SH,STUART,2881.0,72.69,0.5579999999999999,4.8,18.5,2.969,1,0.129,2 +147,B1 SH,STUART,2881.5,68.635,0.5579999999999999,6.9,19.45,3.1039999999999996,1,0.09699999999999999,3 +148,B1 SH,STUART,2882.0,60.695,0.52,7.5,21.25,3.147,1,0.065,3 +149,B1 SH,STUART,2882.5,51.645,0.501,5.6,18.1,3.3539999999999996,1,0.032,3 +150,B1 LM,STUART,2883.0,41.918,0.5479999999999999,7.0,10.9,3.764,2,1.0,8 +151,B1 LM,STUART,2883.5,32.991,0.633,7.7,6.35,4.109,2,0.968,8 +152,B1 LM,STUART,2884.0,28.258000000000003,0.705,5.0,6.1,4.154,2,0.935,8 +153,B1 LM,STUART,2884.5,26.635,0.769,4.1,5.35,4.321000000000001,2,0.903,8 +154,B1 LM,STUART,2885.0,25.541,0.847,3.6,4.8,4.476,2,0.871,8 +155,B1 LM,STUART,2885.5,23.795,0.948,2.3,4.45,4.565,2,0.8390000000000001,6 +156,B1 LM,STUART,2886.0,20.719,1.061,2.2,3.5,4.615,2,0.8059999999999999,6 +157,B1 LM,STUART,2886.5,18.499000000000002,1.139,2.4,3.2,4.696000000000001,2,0.774,6 +158,B1 LM,STUART,2887.0,19.445999999999998,1.1179999999999999,1.5,4.65,4.668,2,0.742,8 +159,B1 LM,STUART,2887.5,21.388,1.0190000000000001,1.0,7.1,4.579,2,0.71,8 +160,B1 LM,STUART,2888.0,24.178,0.9079999999999999,1.2,9.2,4.292,2,0.677,6 +161,B1 LM,STUART,2888.5,27.638,0.812,0.0,11.1,4.046,2,0.645,6 +162,B1 LM,STUART,2889.0,31.669,0.7240000000000001,0.9,11.45,3.822,2,0.613,6 +163,B1 LM,STUART,2889.5,39.389,0.627,3.4,11.2,3.6289999999999996,2,0.581,7 +164,B1 LM,STUART,2890.0,49.385,0.535,6.4,11.5,3.517,2,0.5479999999999999,7 +165,B1 LM,STUART,2890.5,58.516000000000005,0.488,9.0,11.4,3.4739999999999998,2,0.516,7 +166,B1 LM,STUART,2891.0,66.619,0.511,9.2,10.8,3.613,2,0.484,7 +167,B1 LM,STUART,2891.5,67.296,0.602,6.4,9.5,3.862,2,0.452,7 +168,B1 LM,STUART,2892.0,57.798,0.745,3.7,8.25,4.052,2,0.419,6 +169,B1 LM,STUART,2892.5,48.169,0.912,1.1,7.45,4.2410000000000005,2,0.387,6 +170,B1 LM,STUART,2893.0,41.437,1.045,0.4,6.3,4.476,2,0.355,6 +171,B1 LM,STUART,2893.5,39.348,1.117,0.1,5.35,4.712,2,0.32299999999999995,6 +172,B1 LM,STUART,2894.0,49.312,1.1440000000000001,1.0,4.5,4.56,2,0.29,6 +173,B1 LM,STUART,2894.5,61.983999999999995,1.143,0.7,4.85,4.605,2,0.258,6 +174,B1 LM,STUART,2895.0,73.506,1.122,0.9,5.75,4.574,2,0.226,6 +175,B1 LM,STUART,2895.5,74.208,1.095,0.3,6.85,4.478,2,0.19399999999999998,6 +176,B1 LM,STUART,2896.0,67.819,1.072,-0.7,7.55,4.444,2,0.161,6 +177,B1 LM,STUART,2896.5,61.625,1.057,-1.2,7.4,4.439,2,0.129,6 +178,B1 LM,STUART,2897.0,61.625,1.057,-1.2,7.4,4.439,2,0.129,6 +179,B1 LM,STUART,2897.5,55.481,1.041,-0.9,6.55,4.335,2,0.09699999999999999,6 +180,B1 LM,STUART,2898.0,57.251000000000005,0.98,-0.1,5.75,3.907,2,0.065,6 +181,B1 LM,STUART,2898.5,67.28,0.84,-0.6,7.1,3.58,2,0.032,8 +182,B2 SH,STUART,2899.0,76.02,0.6859999999999999,0.7,9.45,3.23,1,1.0,3 +183,B2 SH,STUART,2899.5,84.45700000000001,0.603,2.5,12.45,2.967,1,0.9470000000000001,3 +184,B2 SH,STUART,2900.0,89.01899999999999,0.595,4.6,14.9,2.7939999999999996,1,0.895,3 +185,B2 SH,STUART,2900.5,89.93299999999999,0.591,3.9,18.55,2.7889999999999997,1,0.8420000000000001,3 +186,B2 SH,STUART,2901.0,89.38600000000001,0.539,4.5,22.55,2.861,1,0.789,3 +187,B2 SH,STUART,2901.5,89.427,0.479,6.2,25.4,2.935,1,0.737,3 +188,B2 SH,STUART,2902.0,87.51700000000001,0.461,7.6,24.4,3.128,1,0.684,3 +189,B2 SH,STUART,2902.5,83.74700000000001,0.485,8.7,23.15,3.284,1,0.632,3 +190,B2 SH,STUART,2903.0,78.304,0.541,6.1,21.25,3.332,1,0.579,3 +191,B2 SH,STUART,2903.5,71.858,0.635,8.5,15.95,3.485,1,0.526,3 +192,B2 SH,STUART,2904.0,64.70100000000001,0.737,5.0,15.7,3.471,1,0.474,2 +193,B2 SH,STUART,2904.5,64.293,0.752,1.7,17.15,3.45,1,0.42100000000000004,2 +194,B2 SH,STUART,2905.0,67.158,0.6859999999999999,-0.3,19.95,3.2760000000000002,1,0.368,3 +195,B2 SH,STUART,2905.5,72.47800000000001,0.631,0.2,20.4,3.1710000000000003,1,0.316,3 +196,B2 SH,STUART,2906.0,78.068,0.614,5.0,18.1,3.252,1,0.21100000000000002,2 +197,B2 SH,STUART,2906.5,73.008,0.5920000000000001,2.4,20.1,3.175,1,0.158,2 +198,B2 SH,STUART,2907.0,64.64399999999999,0.5429999999999999,1.7,22.35,3.302,1,0.105,3 +199,B2 SH,STUART,2907.5,49.801,0.5379999999999999,0.0,20.8,3.551,1,0.053,3 +200,B2 LM,STUART,2908.0,35.937,0.628,-2.8,16.8,3.96,2,1.0,8 +201,B2 LM,STUART,2908.5,24.203000000000003,0.743,-0.3,12.35,4.454,2,0.963,8 +202,B2 LM,STUART,2909.0,15.985999999999999,0.777,-0.2,11.5,4.657,2,0.9259999999999999,8 +203,B2 LM,STUART,2909.5,12.036,0.773,-0.5,10.55,4.593999999999999,2,0.889,8 +204,B2 LM,STUART,2910.0,12.745999999999999,0.787,-1.2,9.2,4.437,2,0.852,8 +205,B2 LM,STUART,2910.5,14.843,0.809,-1.6,7.7,4.351,2,0.815,8 +206,B2 LM,STUART,2911.0,17.087,0.8059999999999999,-1.0,6.8,4.242,2,0.778,8 +207,B2 LM,STUART,2911.5,17.977,0.765,0.3,6.45,4.105,2,0.741,8 +208,B2 LM,STUART,2912.0,18.834,0.701,-0.1,7.15,4.279,2,0.7040000000000001,8 +209,B2 LM,STUART,2912.5,19.258,0.644,0.4,7.4,4.669,2,0.667,8 +210,B2 LM,STUART,2913.0,19.062,0.61,0.6,7.8,5.19,2,0.63,7 +211,B2 LM,STUART,2913.5,18.637999999999998,0.6,1.8,7.6,5.527,2,0.593,8 +212,B2 LM,STUART,2914.0,19.462,0.598,3.4,6.8,6.321000000000001,2,0.556,8 +213,B2 LM,STUART,2914.5,19.552,0.581,3.1,6.95,6.16,2,0.519,8 +214,B2 LM,STUART,2915.0,20.653000000000002,0.529,0.9,8.65,5.865,2,0.48100000000000004,8 +215,B2 LM,STUART,2915.5,23.371,0.45,-1.0,11.3,5.315,2,0.444,8 +216,B2 LM,STUART,2916.0,25.468000000000004,0.391,-1.3,13.75,4.918,2,0.40700000000000003,8 +217,B2 LM,STUART,2916.5,26.291999999999998,0.377,-2.3,14.85,4.521,2,0.37,8 +218,B2 LM,STUART,2917.0,27.736,0.41100000000000003,-3.6,14.1,4.4430000000000005,2,0.33299999999999996,8 +219,B2 LM,STUART,2917.5,29.784000000000002,0.48200000000000004,-3.1,11.85,4.3469999999999995,2,0.29600000000000004,8 +220,B2 LM,STUART,2918.0,31.041,0.578,-2.2,9.4,4.416,2,0.259,8 +221,B2 LM,STUART,2918.5,30.837,0.6829999999999999,-0.4,7.4,4.394,2,0.222,8 +222,B2 LM,STUART,2919.0,32.64,0.807,1.0,5.6,4.343,2,0.185,6 +223,B2 LM,STUART,2919.5,33.571,0.9420000000000001,1.6,4.5,4.086,2,0.14800000000000002,6 +224,B2 LM,STUART,2920.0,39.56,1.003,1.9,4.55,3.8110000000000004,2,0.111,6 +225,B2 LM,STUART,2920.5,47.475,0.9309999999999999,1.5,6.15,3.625,2,0.07400000000000001,6 +226,B2 LM,STUART,2921.0,56.443000000000005,0.821,2.3,8.05,3.3930000000000002,2,0.037000000000000005,8 +227,B3 SH,STUART,2921.5,64.79899999999999,0.7509999999999999,3.4,9.6,3.12,1,1.0,3 +228,B3 SH,STUART,2922.0,69.72,0.711,3.0,12.4,3.03,1,0.95,3 +229,B3 SH,STUART,2922.5,72.51100000000001,0.637,3.5,16.35,2.984,1,0.9,3 +230,B3 SH,STUART,2923.0,74.69800000000001,0.525,5.4,20.8,2.915,1,0.85,3 +231,B3 SH,STUART,2923.5,74.69800000000001,0.525,5.4,20.8,2.915,1,0.85,3 +232,B3 SH,STUART,2924.0,73.425,0.45799999999999996,5.2,21.6,2.92,1,0.8,3 +233,B3 SH,STUART,2924.5,71.328,0.486,3.1,17.35,2.995,1,0.75,3 +234,B3 SH,STUART,2925.0,68.937,0.5870000000000001,4.1,13.25,3.122,1,0.7,2 +235,B3 SH,STUART,2925.5,66.562,0.6709999999999999,1.3,13.25,3.2430000000000003,1,0.65,2 +236,B3 SH,STUART,2926.0,64.63600000000001,0.6629999999999999,3.2,13.3,3.324,1,0.6,2 +237,B3 SH,STUART,2926.5,66.619,0.625,4.0,13.6,3.33,1,0.55,2 +238,B3 SH,STUART,2927.0,66.619,0.625,4.0,13.6,3.33,1,0.55,2 +239,B3 SH,STUART,2927.5,65.624,0.635,3.2,12.4,3.3089999999999997,1,0.5,2 +240,B3 SH,STUART,2928.0,65.322,0.68,3.3,9.65,3.315,1,0.45,2 +241,B3 SH,STUART,2928.5,67.035,0.7070000000000001,2.4,8.6,3.2319999999999998,1,0.4,2 +242,B3 SH,STUART,2929.0,68.194,0.693,3.0,8.8,3.157,1,0.35,2 +243,B3 SH,STUART,2929.5,69.149,0.6459999999999999,3.0,10.4,3.034,1,0.3,2 +244,B3 SH,STUART,2930.0,72.20100000000001,0.588,3.2,13.2,3.052,1,0.25,2 +245,B3 SH,STUART,2930.5,73.77600000000001,0.542,4.4,16.0,3.1319999999999997,1,0.2,2 +246,B3 SH,STUART,2931.0,72.609,0.525,5.5,17.55,3.31,1,0.15,2 +247,B3 SH,STUART,2931.5,66.86399999999999,0.55,5.3,16.55,3.625,1,0.1,3 +248,B3 SH,STUART,2932.0,53.702,0.62,5.7,13.75,4.003,1,0.05,3 +249,B3 LM,STUART,2932.5,40.474000000000004,0.713,4.7,11.15,4.2780000000000005,2,1.0,8 +250,B3 LM,STUART,2933.0,28.12,0.774,2.2,10.5,4.537,2,0.9,8 +251,B3 LM,STUART,2933.5,20.213,0.769,-1.1,10.95,4.6819999999999995,2,0.8,8 +252,B3 LM,STUART,2934.0,19.192999999999998,0.732,-1.0,11.1,4.546,2,0.7,8 +253,B3 LM,STUART,2934.5,20.449,0.6990000000000001,-0.7,10.65,4.386,2,0.6,8 +254,B3 LM,STUART,2935.0,21.355,0.679,-0.1,9.95,4.28,2,0.5,8 +255,B3 LM,STUART,2935.5,21.641,0.6679999999999999,1.3,8.95,4.221,2,0.4,6 +256,B3 LM,STUART,2936.0,24.203000000000003,0.653,2.6,8.3,4.099,2,0.3,6 +257,B3 LM,STUART,2936.5,34.574,0.613,2.4,9.0,3.66,2,0.2,6 +258,B3 LM,STUART,2937.0,45.231,0.5479999999999999,2.3,10.45,3.4960000000000004,2,0.1,8 +259,B4 SH,STUART,2937.5,56.427,0.498,2.9,11.35,3.338,1,1.0,3 +260,B4 SH,STUART,2938.0,67.06,0.504,1.7,11.65,3.135,1,0.9440000000000001,2 +261,B4 SH,STUART,2938.5,70.83800000000001,0.5579999999999999,2.0,10.8,3.012,1,0.889,2 +262,B4 SH,STUART,2939.0,69.932,0.612,3.3,10.05,3.0660000000000003,1,0.833,2 +263,B4 SH,STUART,2939.5,74.52600000000001,0.633,4.1,10.25,3.109,1,0.778,2 +264,B4 SH,STUART,2940.0,77.611,0.626,5.0,11.0,3.063,1,0.722,2 +265,B4 SH,STUART,2940.5,78.59,0.605,5.9,11.55,3.092,1,0.667,2 +266,B4 SH,STUART,2941.0,76.729,0.591,5.7,11.95,3.051,1,0.611,2 +267,B4 SH,STUART,2941.5,74.11,0.608,3.7,10.95,3.07,1,0.556,2 +268,B4 SH,STUART,2942.0,66.407,0.653,2.2,9.6,2.997,1,0.5,2 +269,B4 SH,STUART,2942.5,64.081,0.693,1.4,8.6,3.093,1,0.444,2 +270,B4 SH,STUART,2943.0,65.885,0.705,0.9,8.55,3.1060000000000003,1,0.389,2 +271,B4 SH,STUART,2943.5,70.29899999999999,0.696,1.4,9.0,3.085,1,0.33299999999999996,2 +272,B4 SH,STUART,2944.0,70.29899999999999,0.696,1.4,9.0,3.085,1,0.33299999999999996,2 +273,B4 SH,STUART,2944.5,74.551,0.677,3.1,9.65,3.0660000000000003,1,0.278,2 +274,B4 SH,STUART,2945.0,79.65899999999999,0.643,3.4,12.5,2.9019999999999997,1,0.222,2 +275,B4 SH,STUART,2945.5,80.402,0.573,-2.8,19.3,2.9819999999999998,1,0.16699999999999998,3 +276,B4 SH,STUART,2946.0,74.649,0.483,-0.5,23.95,3.14,1,0.111,3 +277,B4 SH,STUART,2946.5,63.428999999999995,0.461,0.2,24.2,3.3939999999999997,1,0.055999999999999994,3 +278,B4 LM,STUART,2947.0,47.916000000000004,0.598,-7.6,18.9,3.762,2,1.0,8 +279,B4 LM,STUART,2947.5,32.469,0.912,-1.4,9.8,4.314,2,0.929,8 +280,B4 LM,STUART,2948.0,20.718000000000004,1.222,-2.9,7.85,4.863,2,0.857,8 +281,B4 LM,STUART,2948.5,15.015,1.2329999999999999,-1.6,6.4,4.813,2,0.7859999999999999,8 +282,B4 LM,STUART,2949.0,14.084000000000001,1.084,-1.1,6.55,4.644,2,0.7140000000000001,8 +283,B4 LM,STUART,2949.5,15.937000000000001,0.9620000000000001,-0.4,7.4,4.6339999999999995,2,0.643,8 +284,B4 LM,STUART,2950.0,19.348,0.9009999999999999,-1.0,7.9,4.545,2,0.5710000000000001,8 +285,B4 LM,STUART,2950.5,21.469,0.9059999999999999,-1.1,6.75,4.5760000000000005,2,0.5,6 +286,B4 LM,STUART,2951.0,22.587,0.9690000000000001,-1.4,5.5,4.527,2,0.429,6 +287,B4 LM,STUART,2951.5,25.721,1.079,-0.9,4.45,4.512,2,0.35700000000000004,6 +288,B4 LM,STUART,2952.0,29.45,1.2,0.0,4.0,4.437,2,0.28600000000000003,6 +289,B4 LM,STUART,2952.5,36.313,1.169,-3.3,6.95,3.97,2,0.214,8 +290,B4 LM,STUART,2953.0,49.49100000000001,0.909,-8.9,13.85,3.695,2,0.14300000000000002,8 +291,B5 SH,STUART,2953.5,69.222,0.469,-6.0,27.9,3.3510000000000004,1,1.0,3 +292,B5 SH,STUART,2954.0,70.968,0.444,-2.5,28.85,3.49,1,0.75,3 +293,B5 SH,STUART,2954.5,65.37899999999999,0.501,-0.3,22.75,3.9,1,0.5,3 +294,B5 SH,STUART,2955.0,54.093,0.56,-0.5,16.75,4.126,1,0.25,3 +295,B5 LM,STUART,2955.5,41.633,0.541,3.9,11.55,4.482,2,1.0,8 +296,B5 LM,STUART,2956.0,33.644,0.439,3.8,11.7,4.707,2,0.976,8 +297,B5 LM,STUART,2956.5,28.976999999999997,0.321,1.3,14.45,4.447,2,0.951,8 +298,B5 LM,STUART,2957.0,24.611,0.23199999999999998,-1.1,17.25,4.481,2,0.927,8 +299,B5 LM,STUART,2957.5,24.154,0.184,-2.9,19.65,4.327,2,0.902,8 +300,B5 LM,STUART,2958.0,25.639,0.17300000000000001,-2.4,20.5,4.302,2,0.878,8 +301,B5 LM,STUART,2958.5,25.956999999999997,0.191,-2.4,19.9,4.294,2,0.8540000000000001,7 +302,B5 LM,STUART,2959.0,38.965,0.266,-2.1,17.05,4.228,2,0.805,7 +303,B5 LM,STUART,2959.5,45.354,0.301,0.2,14.8,4.127,2,0.78,7 +304,B5 LM,STUART,2960.0,53.645,0.327,2.6,12.6,3.908,2,0.7559999999999999,7 +305,B5 LM,STUART,2960.5,60.163999999999994,0.33799999999999997,3.8,12.2,3.74,2,0.732,7 +306,B5 LM,STUART,2961.0,64.032,0.33399999999999996,5.5,13.15,3.5380000000000003,2,0.7070000000000001,7 +307,B5 LM,STUART,2961.5,66.774,0.32299999999999995,7.9,14.75,3.5580000000000003,2,0.6829999999999999,7 +308,B5 LM,STUART,2962.0,68.423,0.313,8.1,15.75,3.4760000000000004,2,0.659,7 +309,B5 LM,STUART,2962.5,63.501999999999995,0.318,6.1,14.75,3.682,2,0.634,7 +310,B5 LM,STUART,2963.0,57.903999999999996,0.349,2.8,12.9,3.937,2,0.61,7 +311,B5 LM,STUART,2963.5,52.935,0.415,2.3,10.25,4.133,2,0.585,7 +312,B5 LM,STUART,2964.0,45.125,0.507,2.3,8.45,4.248,2,0.561,7 +313,B5 LM,STUART,2964.5,39.927,0.605,3.5,6.75,4.468,2,0.537,7 +314,B5 LM,STUART,2965.0,36.215,0.703,2.4,6.0,4.575,2,0.512,8 +315,B5 LM,STUART,2965.5,31.253,0.787,2.3,4.45,4.5569999999999995,2,0.488,6 +316,B5 LM,STUART,2966.0,28.445999999999998,0.8320000000000001,2.2,3.4,4.573,2,0.46299999999999997,6 +317,B5 LM,STUART,2966.5,27.296,0.821,1.2,4.4,4.79,2,0.439,8 +318,B5 LM,STUART,2967.0,28.944000000000003,0.755,-0.4,7.3,4.887,2,0.415,8 +319,B5 LM,STUART,2967.5,31.596,0.659,-1.6,11.0,4.824,2,0.39,8 +320,B5 LM,STUART,2968.0,33.211999999999996,0.574,-3.1,14.45,4.765,2,0.366,8 +321,B5 LM,STUART,2968.5,34.689,0.517,-3.0,16.4,4.766,2,0.341,9 +322,B5 LM,STUART,2969.0,39.266,0.493,-1.9,16.15,4.705,2,0.317,8 +323,B5 LM,STUART,2969.5,50.103,0.499,-2.0,14.6,4.453,2,0.293,8 +324,B5 LM,STUART,2970.0,65.167,0.525,-1.6,13.1,4.3660000000000005,2,0.268,8 +325,B5 LM,STUART,2970.5,76.436,0.557,-0.6,11.7,4.289,2,0.244,8 +326,B5 LM,STUART,2971.0,92.88600000000001,0.628,-0.2,9.4,4.272,2,0.195,6 +327,B5 LM,STUART,2971.5,99.64299999999999,0.6829999999999999,-0.3,7.95,4.395,2,0.171,6 +328,B5 LM,STUART,2972.0,101.585,0.757,0.0,6.5,4.51,2,0.146,6 +329,B5 LM,STUART,2972.5,95.775,0.85,1.6,4.9,4.53,2,0.122,6 +330,B5 LM,STUART,2973.0,87.036,0.951,2.1,3.95,4.456,2,0.098,6 +331,B5 LM,STUART,2973.5,72.331,1.0190000000000001,2.6,3.6,4.056,2,0.073,6 +332,B5 LM,STUART,2974.0,58.858999999999995,0.991,3.4,3.9,3.7119999999999997,2,0.049,6 +333,B5 LM,STUART,2974.5,60.931999999999995,0.857,1.3,7.35,3.3710000000000004,2,0.024,8 +334,C SH,STUART,2975.0,67.655,0.675,-0.8,14.4,3.1310000000000002,1,1.0,3 +335,C SH,STUART,2975.5,77.219,0.528,6.8,20.9,3.008,1,0.977,3 +336,C SH,STUART,2976.0,82.115,0.45899999999999996,10.6,24.2,2.988,1,0.953,3 +337,C SH,STUART,2976.5,84.865,0.446,9.4,23.7,3.134,1,0.93,3 +338,C SH,STUART,2977.0,84.384,0.449,13.3,21.45,3.409,1,0.907,3 +339,C SH,STUART,2977.5,81.77199999999999,0.44299999999999995,14.8,20.9,3.483,1,0.884,3 +340,C SH,STUART,2978.0,78.998,0.444,16.5,20.65,3.438,1,0.8370000000000001,3 +341,C SH,STUART,2978.5,79.896,0.457,14.9,20.15,3.423,1,0.8140000000000001,3 +342,C SH,STUART,2979.0,79.194,0.462,14.8,19.9,3.45,1,0.7909999999999999,3 +343,C SH,STUART,2979.5,78.99,0.451,13.5,19.65,3.3930000000000002,1,0.767,3 +344,C SH,STUART,2980.0,79.21,0.441,15.1,18.95,3.475,1,0.7440000000000001,3 +345,C SH,STUART,2980.5,78.1,0.451,15.6,17.5,3.478,1,0.721,3 +346,C SH,STUART,2981.0,78.59,0.489,14.3,16.75,3.505,1,0.698,3 +347,C SH,STUART,2981.5,79.439,0.544,12.7,15.25,3.478,1,0.674,3 +348,C SH,STUART,2982.0,81.29899999999999,0.5760000000000001,11.5,14.65,3.4530000000000003,1,0.6509999999999999,3 +349,C SH,STUART,2982.5,78.933,0.494,11.9,14.85,3.4789999999999996,1,0.605,3 +350,C SH,STUART,2983.0,79.471,0.441,13.4,16.3,3.4939999999999998,1,0.581,3 +351,C SH,STUART,2983.5,81.895,0.431,14.2,16.8,3.4410000000000003,1,0.5579999999999999,2 +352,C SH,STUART,2984.0,82.76799999999999,0.46799999999999997,14.3,16.05,3.4930000000000003,1,0.535,2 +353,C SH,STUART,2984.5,79.02199999999999,0.537,12.9,15.05,3.5,1,0.512,2 +354,C SH,STUART,2985.0,76.74600000000001,0.601,11.4,13.8,3.4410000000000003,1,0.488,2 +355,C SH,STUART,2985.5,73.066,0.638,11.1,13.25,3.426,1,0.465,2 +356,C SH,STUART,2986.0,70.35600000000001,0.6509999999999999,11.0,13.1,3.447,1,0.442,2 +357,C SH,STUART,2986.5,74.608,0.621,10.5,14.85,3.3989999999999996,1,0.395,2 +358,C SH,STUART,2987.0,73.008,0.585,11.1,15.15,3.3930000000000002,1,0.37200000000000005,2 +359,C SH,STUART,2987.5,70.438,0.546,12.1,15.15,3.4389999999999996,1,0.349,2 +360,C SH,STUART,2988.0,68.08,0.5,13.5,14.65,3.478,1,0.326,2 +361,C SH,STUART,2988.5,66.75,0.46,13.6,15.2,3.4610000000000003,1,0.302,2 +362,C SH,STUART,2989.0,69.45100000000001,0.455,13.4,14.8,3.4939999999999998,1,0.27899999999999997,2 +363,C SH,STUART,2989.5,75.946,0.494,14.2,14.0,3.5410000000000004,1,0.256,2 +364,C SH,STUART,2990.0,80.344,0.556,11.8,13.6,3.522,1,0.233,2 +365,C SH,STUART,2990.5,83.772,0.616,10.4,12.9,3.4760000000000004,1,0.18600000000000003,2 +366,C SH,STUART,2991.0,84.76700000000001,0.618,10.7,12.55,3.39,1,0.163,2 +367,C SH,STUART,2991.5,84.09,0.616,9.4,13.4,3.2889999999999997,1,0.14,2 +368,C SH,STUART,2992.0,86.62799999999999,0.601,8.8,14.4,3.19,1,0.11599999999999999,2 +369,C SH,STUART,2992.5,90.43,0.556,2.0,21.4,3.045,1,0.09300000000000001,2 +370,C SH,STUART,2993.0,87.07700000000001,0.498,2.0,26.4,3.088,1,0.07,3 +371,C SH,STUART,2993.5,76.623,0.479,5.3,28.45,3.2239999999999998,1,0.047,3 +372,C SH,STUART,2994.0,62.768,0.546,3.2,26.3,3.3339999999999996,1,0.023,3 +373,C LM,STUART,2994.5,43.738,0.703,1.8,19.3,3.8760000000000003,2,1.0,8 +374,C LM,STUART,2995.0,27.859,0.855,6.9,11.75,4.508,2,0.993,8 +375,C LM,STUART,2995.5,18.034000000000002,0.879,5.3,9.55,4.815,2,0.985,8 +376,C LM,STUART,2996.0,13.203,0.83,3.0,9.1,4.863,2,0.978,8 +377,C LM,STUART,2996.5,12.762,0.767,2.0,8.9,5.024,2,0.97,8 +378,C LM,STUART,2997.0,14.843,0.7020000000000001,1.8,9.2,4.6160000000000005,2,0.963,8 +379,C LM,STUART,2997.5,19.087,0.644,0.4,10.4,4.172,2,0.955,7 +380,C LM,STUART,2998.0,19.087,0.644,0.4,10.4,4.172,2,0.955,7 +381,C LM,STUART,2998.5,25.206999999999997,0.601,-0.2,10.7,3.97,2,0.948,7 +382,C LM,STUART,2999.0,27.997,0.5870000000000001,1.1,10.25,3.9330000000000003,2,0.94,6 +383,C LM,STUART,2999.5,28.822,0.602,2.2,10.0,3.875,2,0.9329999999999999,6 +384,C LM,STUART,3000.0,28.618000000000002,0.622,1.9,10.35,3.969,2,0.925,7 +385,C LM,STUART,3000.5,24.815,0.612,0.7,11.15,4.118,2,0.9179999999999999,7 +386,C LM,STUART,3001.0,23.371,0.575,0.2,11.8,4.243,2,0.91,7 +387,C LM,STUART,3001.5,23.052,0.542,0.1,12.35,4.196000000000001,2,0.903,7 +388,C LM,STUART,3002.0,23.109,0.522,-0.1,12.15,4.192,2,0.8959999999999999,7 +389,C LM,STUART,3002.5,24.138,0.511,-0.3,12.05,3.978,2,0.888,7 +390,C LM,STUART,3003.0,24.448,0.511,-0.1,11.75,3.975,2,0.8809999999999999,7 +391,C LM,STUART,3003.5,25.419,0.523,0.0,11.6,3.9619999999999997,2,0.873,7 +392,C LM,STUART,3004.0,26.724,0.56,-0.7,11.35,3.99,2,0.866,7 +393,C LM,STUART,3004.5,29.213,0.623,-0.8,10.7,3.885,2,0.858,8 +394,C LM,STUART,3005.0,34.036,0.6859999999999999,0.4,9.4,3.8160000000000003,2,0.851,6 +395,C LM,STUART,3005.5,38.157,0.716,1.7,7.75,3.66,2,0.843,6 +396,C LM,STUART,3006.0,40.45,0.701,1.8,6.8,3.5439999999999996,2,0.836,5 +397,C LM,STUART,3006.5,41.576,0.662,3.5,6.45,3.392,2,0.828,5 +398,C LM,STUART,3007.0,40.123000000000005,0.633,3.7,7.35,3.24,2,0.821,5 +399,C LM,STUART,3007.5,36.663000000000004,0.632,3.4,8.1,3.2119999999999997,2,0.813,5 +400,C LM,STUART,3008.0,32.705999999999996,0.65,3.8,8.3,3.253,2,0.8059999999999999,6 +401,C LM,STUART,3008.5,30.323,0.672,3.4,8.7,3.2889999999999997,2,0.799,6 +402,C LM,STUART,3009.0,28.601,0.6940000000000001,3.0,9.4,3.3139999999999996,2,0.7909999999999999,6 +403,C LM,STUART,3009.5,28.169,0.721,2.4,9.7,3.262,2,0.784,6 +404,C LM,STUART,3010.0,29.441999999999997,0.7559999999999999,1.4,9.8,3.31,2,0.7759999999999999,5 +405,C LM,STUART,3010.5,30.878,0.795,0.7,9.55,3.359,2,0.769,5 +406,C LM,STUART,3011.0,32.150999999999996,0.8320000000000001,0.1,9.35,3.409,2,0.7609999999999999,5 +407,C LM,STUART,3011.5,33.677,0.856,0.4,9.1,3.417,2,0.754,5 +408,C LM,STUART,3012.0,33.701,0.872,1.1,8.95,3.444,2,0.746,5 +409,C LM,STUART,3012.5,35.105,0.889,1.5,8.75,3.466,2,0.7390000000000001,5 +410,C LM,STUART,3013.0,37.104,0.914,1.6,8.6,3.49,2,0.731,5 +411,C LM,STUART,3013.5,37.349000000000004,0.9390000000000001,2.1,7.95,3.418,2,0.7240000000000001,5 +412,C LM,STUART,3014.0,37.936,0.9520000000000001,2.4,7.7,3.5039999999999996,2,0.716,5 +413,C LM,STUART,3014.5,39.086999999999996,0.953,2.1,7.75,3.511,2,0.7090000000000001,5 +414,C LM,STUART,3015.0,38.059,0.951,1.7,7.55,3.55,2,0.701,5 +415,C LM,STUART,3015.5,37.202,0.9520000000000001,2.2,7.3,3.603,2,0.6940000000000001,5 +416,C LM,STUART,3016.0,37.218,0.951,1.8,7.5,3.675,2,0.687,5 +417,C LM,STUART,3016.5,37.781,0.9490000000000001,1.4,7.6,3.741,2,0.679,5 +418,C LM,STUART,3017.0,40.164,0.948,1.5,7.35,3.735,2,0.672,5 +419,C LM,STUART,3017.5,40.955999999999996,0.95,1.6,7.3,3.747,2,0.664,5 +420,C LM,STUART,3018.0,41.013000000000005,0.9520000000000001,1.5,7.25,3.64,2,0.657,5 +421,C LM,STUART,3018.5,42.547,0.95,1.9,7.15,3.6830000000000003,2,0.649,5 +422,C LM,STUART,3019.0,41.192,0.945,2.0,7.0,3.6439999999999997,2,0.642,5 +423,C LM,STUART,3019.5,42.726000000000006,0.941,2.3,7.15,3.7039999999999997,2,0.634,5 +424,C LM,STUART,3020.0,44.407,0.9420000000000001,3.4,7.0,3.695,2,0.627,5 +425,C LM,STUART,3020.5,45.387,0.946,3.8,6.8,3.7880000000000003,2,0.619,5 +426,C LM,STUART,3021.0,45.052,0.945,2.6,7.5,3.917,2,0.612,5 +427,C LM,STUART,3021.5,46.129,0.935,2.4,7.4,3.948,2,0.604,5 +428,C LM,STUART,3022.0,47.826,0.925,2.5,7.05,4.016,2,0.597,5 +429,C LM,STUART,3022.5,50.053999999999995,0.925,2.3,6.75,3.935,2,0.59,5 +430,C LM,STUART,3023.0,55.562,0.9329999999999999,1.8,6.9,3.9739999999999998,2,0.5820000000000001,5 +431,C LM,STUART,3023.5,63.028999999999996,0.9470000000000001,2.0,6.8,3.859,2,0.575,5 +432,C LM,STUART,3024.0,75.399,0.966,1.9,6.45,3.681,2,0.5670000000000001,6 +433,C LM,STUART,3024.5,102.116,0.987,0.2,6.9,3.5610000000000004,2,0.56,6 +434,C LM,STUART,3025.0,140.778,0.993,-0.4,7.0,3.513,2,0.552,6 +435,C LM,STUART,3025.5,183.358,0.981,-0.3,7.35,3.437,2,0.545,6 +436,C LM,STUART,3026.0,213.99900000000002,0.977,0.2,7.8,3.412,2,0.537,4 +437,C LM,STUART,3026.5,220.41299999999998,1.004,0.0,8.0,3.528,2,0.53,4 +438,C LM,STUART,3027.0,200.30599999999998,1.0270000000000001,0.0,8.0,3.6710000000000003,2,0.522,4 +439,C LM,STUART,3027.5,162.149,0.9990000000000001,-0.2,8.5,3.7460000000000004,2,0.515,4 +440,C LM,STUART,3028.0,121.20200000000001,0.95,0.2,9.2,3.892,2,0.507,4 +441,C LM,STUART,3028.5,92.805,0.9159999999999999,1.3,9.95,3.924,2,0.5,4 +442,C LM,STUART,3029.0,77.758,0.894,1.9,10.65,3.9530000000000003,2,0.493,4 +443,C LM,STUART,3029.5,67.623,0.879,2.9,10.85,3.889,2,0.485,4 +444,C LM,STUART,3030.0,62.376000000000005,0.873,2.5,11.45,3.799,2,0.478,4 +445,C LM,STUART,3030.5,59.463,0.873,2.1,11.25,3.773,2,0.47,4 +446,C LM,STUART,3031.0,55.211000000000006,0.872,2.7,10.45,3.784,2,0.46299999999999997,4 +447,C LM,STUART,3031.5,51.727,0.866,2.3,10.35,3.787,2,0.455,4 +448,C LM,STUART,3032.0,52.38,0.858,2.1,10.75,3.7760000000000002,2,0.44799999999999995,4 +449,C LM,STUART,3032.5,53.122,0.851,2.5,11.05,3.7239999999999998,2,0.44,4 +450,C LM,STUART,3033.0,51.245,0.8440000000000001,2.7,11.25,3.697,2,0.433,4 +451,C LM,STUART,3033.5,52.208,0.836,1.5,11.75,3.653,2,0.425,4 +452,C LM,STUART,3034.0,54.95,0.826,1.3,12.05,3.647,2,0.418,4 +453,C LM,STUART,3034.5,54.43600000000001,0.8170000000000001,2.0,12.0,3.65,2,0.41,4 +454,C LM,STUART,3035.0,54.81100000000001,0.81,1.8,12.1,3.678,2,0.40299999999999997,4 +455,C LM,STUART,3035.5,55.603,0.8009999999999999,1.6,12.2,3.6439999999999997,2,0.396,4 +456,C LM,STUART,3036.0,54.288999999999994,0.785,1.3,12.75,3.656,2,0.38799999999999996,4 +457,C LM,STUART,3036.5,52.38,0.768,2.0,13.0,3.5980000000000003,2,0.381,4 +458,C LM,STUART,3037.0,53.645,0.758,2.0,13.7,3.582,2,0.373,4 +459,C LM,STUART,3037.5,53.93,0.757,2.1,13.75,3.5810000000000004,2,0.366,4 +460,C LM,STUART,3038.0,56.071999999999996,0.755,2.9,13.75,3.645,2,0.358,4 +461,C LM,STUART,3038.5,59.016999999999996,0.75,4.0,13.7,3.694,2,0.35100000000000003,4 +462,C LM,STUART,3039.0,62.144,0.742,4.4,14.1,3.65,2,0.34299999999999997,4 +463,C LM,STUART,3039.5,64.814,0.73,4.8,14.2,3.66,2,0.336,4 +464,C LM,STUART,3040.0,66.705,0.7140000000000001,5.6,14.6,3.6889999999999996,2,0.32799999999999996,4 +465,C LM,STUART,3040.5,67.568,0.695,6.5,15.45,3.674,2,0.321,4 +466,C LM,STUART,3041.0,67.683,0.6759999999999999,6.7,15.65,3.603,2,0.313,4 +467,C LM,STUART,3041.5,67.683,0.662,6.0,15.4,3.562,2,0.306,4 +468,C LM,STUART,3042.0,67.683,0.6659999999999999,5.7,15.25,3.57,2,0.299,4 +469,C LM,STUART,3042.5,67.683,0.701,6.0,15.2,3.603,2,0.29100000000000004,4 +470,C LM,STUART,3043.0,67.683,0.778,5.1,15.65,3.537,2,0.284,4 +471,C LM,STUART,3043.5,67.683,0.882,4.9,15.75,3.5469999999999997,2,0.276,4 +472,C LM,STUART,3044.0,67.683,0.973,4.4,15.8,3.533,2,0.26899999999999996,4 +473,C LM,STUART,3044.5,67.683,1.0170000000000001,3.5,16.25,3.495,2,0.261,4 +474,A1 LM,CRAWFORD,2972.5,49.675,0.845,3.905,11.175,3.265,2,1.0,6 +475,A1 LM,CRAWFORD,2973.0,34.435,0.879,3.085,8.175,3.8310000000000004,2,0.991,6 +476,A1 LM,CRAWFORD,2973.5,26.178,0.92,2.615,4.945,4.306,2,0.981,6 +477,A1 LM,CRAWFORD,2974.0,19.463,0.9670000000000001,0.82,3.82,4.578,2,0.972,6 +478,A1 LM,CRAWFORD,2974.5,19.26,0.995,0.32,3.63,4.643,2,0.9620000000000001,6 +479,A1 LM,CRAWFORD,2975.0,19.985,1.008,0.06,4.32,4.614,2,0.953,6 +480,A1 LM,CRAWFORD,2975.5,22.298000000000002,1.002,-0.01,5.5,4.4910000000000005,2,0.943,6 +481,A1 LM,CRAWFORD,2976.0,24.611,0.956,0.05,6.87,4.369,2,0.934,6 +482,A1 LM,CRAWFORD,2976.5,24.677,0.8240000000000001,0.31,6.94,4.047,2,0.915,6 +483,A1 LM,CRAWFORD,2977.0,24.945999999999998,0.667,0.965,5.915,3.8930000000000002,2,0.9059999999999999,6 +484,A1 LM,CRAWFORD,2977.5,29.31,0.5589999999999999,2.11,6.15,3.52,2,0.8959999999999999,6 +485,A1 LM,CRAWFORD,2978.0,37.321999999999996,0.522,3.375,8.445,3.125,2,0.887,6 +486,A1 LM,CRAWFORD,2978.5,42.141999999999996,0.51,3.985,10.785,2.843,2,0.877,6 +487,A1 LM,CRAWFORD,2979.0,52.434,0.49200000000000005,4.42,13.15,2.674,2,0.868,7 +488,A1 LM,CRAWFORD,2979.5,63.181000000000004,0.473,5.18,14.13,2.6439999999999997,2,0.858,7 +489,A1 LM,CRAWFORD,2980.0,69.405,0.465,5.52,14.56,2.6630000000000003,2,0.8490000000000001,7 +490,A1 LM,CRAWFORD,2980.5,77.785,0.475,5.82,14.94,2.68,2,0.84,7 +491,A1 LM,CRAWFORD,2981.0,83.57700000000001,0.469,5.965,15.395,2.6660000000000004,2,0.83,7 +492,A1 LM,CRAWFORD,2981.5,84.05799999999999,0.513,6.025,15.855,2.622,2,0.821,4 +493,A1 LM,CRAWFORD,2982.0,81.82,0.544,5.95,16.05,2.609,2,0.8109999999999999,4 +494,A1 LM,CRAWFORD,2982.5,80.257,0.563,5.74,16.1,2.6260000000000003,2,0.802,4 +495,A1 LM,CRAWFORD,2983.0,79.833,0.579,5.135,15.715,2.662,2,0.792,4 +496,A1 LM,CRAWFORD,2983.5,80.32300000000001,0.583,4.565,15.275,2.693,2,0.7829999999999999,7 +497,A1 LM,CRAWFORD,2984.0,84.704,0.59,4.365,15.165,2.7110000000000003,2,0.774,7 +498,A1 LM,CRAWFORD,2984.5,96.67399999999999,0.596,4.725,15.565,2.7439999999999998,2,0.764,7 +499,A1 LM,CRAWFORD,2985.0,112.662,0.609,4.88,15.71,2.824,2,0.755,7 +500,A1 LM,CRAWFORD,2985.5,131.484,0.634,5.11,15.6,2.935,2,0.745,4 +501,A1 LM,CRAWFORD,2986.0,138.16899999999998,0.659,5.33,15.1,3.0,2,0.736,4 +502,A1 LM,CRAWFORD,2986.5,135.045,0.682,5.1,14.46,3.048,2,0.726,4 +503,A1 LM,CRAWFORD,2987.0,117.726,0.7070000000000001,4.415,13.315,3.097,2,0.7170000000000001,4 +504,A1 LM,CRAWFORD,2987.5,98.382,0.7290000000000001,3.395,11.695,3.193,2,0.708,4 +505,A1 LM,CRAWFORD,2988.0,91.348,0.7709999999999999,3.235,10.985,3.3080000000000003,2,0.698,4 +506,A1 LM,CRAWFORD,2988.5,87.05,0.831,3.21,10.64,3.4930000000000003,2,0.6890000000000001,4 +507,A1 LM,CRAWFORD,2989.0,82.98,0.9279999999999999,2.835,10.115,3.5260000000000002,2,0.679,4 +508,A1 LM,CRAWFORD,2989.5,67.264,1.0190000000000001,0.475,8.435,3.217,2,0.67,6 +509,A1 LM,CRAWFORD,2990.0,57.068999999999996,1.047,-2.385,7.115,3.157,2,0.66,6 +510,A1 LM,CRAWFORD,2990.5,46.873999999999995,1.0659999999999998,-3.97,6.6,3.159,2,0.6509999999999999,6 +511,A1 LM,CRAWFORD,2991.0,39.325,1.06,-3.69,7.15,3.2239999999999998,2,0.642,6 +512,A1 LM,CRAWFORD,2991.5,43.946000000000005,1.042,-2.73,7.29,3.272,2,0.632,6 +513,A1 LM,CRAWFORD,2992.0,51.73,1.005,-0.9,7.98,3.29,2,0.623,6 +514,A1 LM,CRAWFORD,2992.5,58.373999999999995,0.956,1.46,9.41,3.2769999999999997,2,0.613,6 +515,A1 LM,CRAWFORD,2993.0,67.75399999999999,0.904,3.985,11.545,3.2960000000000003,2,0.604,6 +516,A1 LM,CRAWFORD,2993.5,71.206,0.8740000000000001,5.045,12.915,3.3280000000000003,2,0.594,4 +517,A1 LM,CRAWFORD,2994.0,69.188,0.852,4.86,12.85,3.33,2,0.585,4 +518,A1 LM,CRAWFORD,2994.5,58.452,0.841,3.455,11.265,3.332,2,0.575,4 +519,A1 LM,CRAWFORD,2995.0,38.715,0.816,2.185,9.855,3.365,2,0.5660000000000001,6 +520,A1 LM,CRAWFORD,2995.5,30.541,0.8009999999999999,0.96,8.76,3.4760000000000004,2,0.557,6 +521,A1 LM,CRAWFORD,2996.0,21.684,0.792,-0.04,8.28,3.7739999999999996,2,0.547,6 +522,A1 LM,CRAWFORD,2996.5,21.252,0.7929999999999999,-0.505,9.225,4.041,2,0.5379999999999999,6 +523,A1 LM,CRAWFORD,2997.0,23.116999999999997,0.7929999999999999,-0.555,9.895,4.292,2,0.528,8 +524,A1 LM,CRAWFORD,2997.5,28.85,0.7909999999999999,-0.46,9.89,4.371,2,0.519,6 +525,A1 LM,CRAWFORD,2998.0,36.226,0.7879999999999999,-0.085,9.175,4.112,2,0.509,6 +526,A1 LM,CRAWFORD,2998.5,42.83,0.8009999999999999,0.41,8.49,3.91,2,0.5,6 +527,A1 LM,CRAWFORD,2999.0,46.846000000000004,0.82,1.255,8.275,3.793,2,0.491,5 +528,A1 LM,CRAWFORD,2999.5,48.133,0.845,1.77,8.29,3.486,2,0.48100000000000004,5 +529,A1 LM,CRAWFORD,3000.0,43.162,0.8740000000000001,1.35,8.64,3.263,2,0.47200000000000003,5 +530,A1 LM,CRAWFORD,3000.5,36.586,0.92,1.01,8.74,3.187,2,0.462,5 +531,A1 LM,CRAWFORD,3001.0,32.746,0.955,0.625,8.535,3.173,2,0.45299999999999996,5 +532,A1 LM,CRAWFORD,3001.5,30.956999999999997,0.9740000000000001,0.565,8.555,3.315,2,0.44299999999999995,6 +533,A1 LM,CRAWFORD,3002.0,30.765,0.981,0.545,8.575,3.4410000000000003,2,0.434,6 +534,A1 LM,CRAWFORD,3002.5,31.265,0.987,0.625,8.425,3.6180000000000003,2,0.425,6 +535,A1 LM,CRAWFORD,3003.0,33.124,0.9940000000000001,0.755,8.045,3.943,2,0.415,6 +536,A1 LM,CRAWFORD,3003.5,35.211,0.997,0.635,7.555,4.07,2,0.406,6 +537,A1 LM,CRAWFORD,3004.0,36.385999999999996,0.988,0.125,7.135,3.885,2,0.396,6 +538,A1 LM,CRAWFORD,3004.5,38.016999999999996,0.951,-0.175,6.875,3.654,2,0.387,6 +539,A1 LM,CRAWFORD,3005.0,41.016000000000005,0.903,0.055,6.825,3.438,2,0.377,6 +540,A1 LM,CRAWFORD,3005.5,49.653999999999996,0.8540000000000001,1.52,7.51,3.33,2,0.368,6 +541,A1 LM,CRAWFORD,3006.0,62.068000000000005,0.799,3.1,9.13,3.2089999999999996,2,0.358,6 +542,A1 LM,CRAWFORD,3006.5,71.222,0.74,4.0,10.98,3.0869999999999997,2,0.349,4 +543,A1 LM,CRAWFORD,3007.0,73.309,0.691,4.015,12.425,2.98,2,0.34,4 +544,A1 LM,CRAWFORD,3007.5,69.469,0.627,3.19,13.37,2.904,2,0.33,4 +545,A1 LM,CRAWFORD,3008.0,65.857,0.5589999999999999,2.1,14.08,2.859,2,0.321,4 +546,A1 LM,CRAWFORD,3008.5,58.369,0.504,0.715,14.235,2.83,2,0.311,6 +547,A1 LM,CRAWFORD,3009.0,56.125,0.435,-0.775,13.415,2.786,2,0.302,6 +548,A1 LM,CRAWFORD,3009.5,56.769,0.37799999999999995,-1.155,12.805,2.7260000000000004,2,0.292,8 +549,A1 LM,CRAWFORD,3010.0,62.586999999999996,0.298,-0.18,12.87,2.588,2,0.28300000000000003,8 +550,A1 LM,CRAWFORD,3010.5,64.67399999999999,0.252,0.24,14.42,2.465,2,0.27399999999999997,8 +551,A1 LM,CRAWFORD,3011.0,64.253,0.212,0.24,16.36,2.374,2,0.264,8 +552,A1 LM,CRAWFORD,3011.5,61.553000000000004,0.166,-0.295,18.395,2.329,2,0.255,8 +553,A1 LM,CRAWFORD,3012.0,60.221000000000004,0.114,-0.59,19.27,2.315,2,0.245,8 +554,A1 LM,CRAWFORD,3012.5,59.11600000000001,0.09300000000000001,-0.655,19.655,2.302,2,0.23600000000000002,8 +555,A1 LM,CRAWFORD,3013.0,57.997,0.081,-0.8,19.69,2.258,2,0.226,8 +556,A1 LM,CRAWFORD,3013.5,57.363,0.091,-1.105,19.095,2.2430000000000003,2,0.217,8 +557,A1 LM,CRAWFORD,3014.0,57.863,0.14400000000000002,-1.27,18.12,2.261,2,0.20800000000000002,8 +558,A1 LM,CRAWFORD,3014.5,59.038000000000004,0.20600000000000002,-1.26,17.03,2.326,2,0.198,8 +559,A1 LM,CRAWFORD,3015.0,60.213,0.29,-1.04,16.68,2.4090000000000003,2,0.18899999999999997,8 +560,A1 LM,CRAWFORD,3015.5,61.16,0.368,-0.14,16.68,2.781,2,0.179,8 +561,A1 LM,CRAWFORD,3016.0,58.46,0.46799999999999997,-0.25,15.21,3.327,2,0.17,7 +562,A1 LM,CRAWFORD,3016.5,53.48,0.564,0.36,11.47,3.7960000000000003,2,0.16,8 +563,A1 LM,CRAWFORD,3017.0,51.692,0.657,0.825,8.125,4.062,2,0.151,8 +564,A1 LM,CRAWFORD,3017.5,67.238,0.807,1.7,7.13,4.173,2,0.142,8 +565,A1 LM,CRAWFORD,3018.0,74.796,0.89,2.905,7.335,4.19,2,0.132,6 +566,A1 LM,CRAWFORD,3018.5,75.743,0.925,3.055,7.765,4.302,2,0.12300000000000001,6 +567,A1 LM,CRAWFORD,3019.0,70.991,0.9279999999999999,2.325,7.785,4.444,2,0.113,6 +568,A1 LM,CRAWFORD,3019.5,57.348,0.929,1.355,7.395,4.492,2,0.10400000000000001,6 +569,A1 LM,CRAWFORD,3020.0,46.213,0.929,0.67,7.43,4.385,2,0.094,6 +570,A1 LM,CRAWFORD,3020.5,42.11600000000001,0.9259999999999999,0.19,7.17,4.2010000000000005,2,0.085,6 +571,A1 LM,CRAWFORD,3021.0,44.925,0.9179999999999999,-0.19,6.69,4.093,2,0.075,6 +572,A1 LM,CRAWFORD,3021.5,55.903,0.912,0.07,5.72,4.034,2,0.066,6 +573,A1 LM,CRAWFORD,3022.0,66.196,0.9059999999999999,0.495,5.375,3.958,2,0.057,6 +574,A1 LM,CRAWFORD,3022.5,73.52600000000001,0.894,1.44,5.26,3.82,2,0.047,8 +575,B1 SH,CRAWFORD,3032.0,72.392,0.7090000000000001,-0.74,18.41,2.6289999999999996,1,0.125,3 +576,B1 SH,CRAWFORD,3032.5,69.928,0.792,-0.69,19.32,2.616,1,0.063,3 +577,B1 LM,CRAWFORD,3033.0,64.72,0.8490000000000001,-0.96,16.33,2.9139999999999997,2,1.0,8 +578,B1 LM,CRAWFORD,3033.5,52.445,0.892,0.91,11.35,3.292,2,0.977,8 +579,B1 LM,CRAWFORD,3034.0,43.361999999999995,0.93,-0.02,6.92,3.571,2,0.955,8 +580,B1 LM,CRAWFORD,3034.5,42.06399999999999,0.9740000000000001,0.015,5.495,3.435,2,0.909,8 +581,B1 LM,CRAWFORD,3035.0,45.641999999999996,0.956,0.005,5.475,3.375,2,0.8859999999999999,6 +582,B1 LM,CRAWFORD,3035.5,53.266000000000005,0.932,-0.105,5.545,3.299,2,0.8640000000000001,6 +583,B1 LM,CRAWFORD,3036.0,59.043,0.894,0.17,6.99,3.114,2,0.841,5 +584,B1 LM,CRAWFORD,3036.5,62.331,0.8340000000000001,-0.245,9.835,2.813,2,0.818,6 +585,B1 LM,CRAWFORD,3037.0,60.946000000000005,0.884,-1.69,16.08,2.745,2,0.795,4 +586,B1 LM,CRAWFORD,3037.5,53.913999999999994,0.9179999999999999,-0.72,19.54,3.1519999999999997,2,0.773,3 +587,B1 LM,CRAWFORD,3038.0,45.287,0.922,-0.86,18.44,3.9619999999999997,2,0.75,8 +588,B1 LM,CRAWFORD,3038.5,30.049,0.925,0.445,13.565,4.571000000000001,2,0.727,8 +589,B1 LM,CRAWFORD,3039.0,23.017,0.9470000000000001,0.54,9.59,4.806,2,0.705,8 +590,B1 LM,CRAWFORD,3039.5,21.228,0.973,-0.03,7.57,4.824,2,0.682,8 +591,B1 LM,CRAWFORD,3040.0,20.109,0.985,0.225,6.725,4.81,2,0.659,6 +592,B1 LM,CRAWFORD,3040.5,19.256,0.995,0.415,6.505,4.859,2,0.636,6 +593,B1 LM,CRAWFORD,3041.0,18.38,0.9990000000000001,0.44,6.29,4.8919999999999995,2,0.614,6 +594,B1 LM,CRAWFORD,3041.5,17.275,0.987,0.185,6.075,4.91,2,0.591,6 +595,B1 LM,CRAWFORD,3042.0,16.39,0.975,0.015,5.815,4.88,2,0.568,6 +596,B1 LM,CRAWFORD,3042.5,16.197,0.963,-0.205,5.445,4.834,2,0.545,6 +597,B1 LM,CRAWFORD,3043.0,16.469,0.9570000000000001,-0.225,5.335,4.76,2,0.523,6 +598,B1 LM,CRAWFORD,3043.5,20.38,0.973,-0.295,5.255,4.669,2,0.5,6 +599,B1 LM,CRAWFORD,3044.0,31.86,1.005,-0.185,5.045,4.547,2,0.47700000000000004,5 +600,B1 LM,CRAWFORD,3044.5,39.608000000000004,1.0390000000000001,0.44,5.16,4.5169999999999995,2,0.455,5 +601,B1 LM,CRAWFORD,3045.0,43.291000000000004,1.064,0.96,5.09,4.488,2,0.43200000000000005,5 +602,B1 LM,CRAWFORD,3045.5,44.001000000000005,1.089,1.295,4.875,4.396,2,0.409,5 +603,B1 LM,CRAWFORD,3046.0,38.574,1.112,0.7,4.09,4.275,2,0.386,5 +604,B1 LM,CRAWFORD,3046.5,35.19,1.128,0.195,3.575,4.245,2,0.364,6 +605,B1 LM,CRAWFORD,3047.0,32.946,1.131,-0.215,3.205,4.434,2,0.341,6 +606,B1 LM,CRAWFORD,3047.5,31.613000000000003,1.128,-0.095,3.545,4.405,2,0.318,6 +607,B1 LM,CRAWFORD,3048.0,32.113,1.092,-0.005,4.715,4.329,2,0.295,6 +608,B1 LM,CRAWFORD,3048.5,32.368,1.052,0.29,5.42,4.285,2,0.273,6 +609,B1 LM,CRAWFORD,3049.0,31.506999999999998,0.978,0.405,5.865,4.224,2,0.25,6 +610,B1 LM,CRAWFORD,3049.5,30.849,0.88,0.445,6.595,4.04,2,0.22699999999999998,6 +611,B1 LM,CRAWFORD,3050.0,29.953000000000003,0.772,0.91,7.82,3.451,2,0.205,8 +612,B1 LM,CRAWFORD,3050.5,28.875999999999998,0.723,1.24,9.64,3.141,2,0.182,8 +613,B1 LM,CRAWFORD,3051.0,28.228,0.705,1.21,10.47,3.2060000000000004,2,0.159,8 +614,B1 LM,CRAWFORD,3051.5,28.263,0.693,1.005,10.355,3.38,2,0.136,8 +615,B1 LM,CRAWFORD,3052.0,28.754,0.693,0.47,9.35,3.6460000000000004,2,0.114,8 +616,B1 LM,CRAWFORD,3052.5,34.26,0.6940000000000001,0.34,7.94,3.9739999999999998,2,0.091,6 +617,B1 LM,CRAWFORD,3053.0,45.01,0.6940000000000001,0.485,6.185,4.2410000000000005,2,0.068,6 +618,B1 LM,CRAWFORD,3053.5,55.98,0.7070000000000001,0.665,5.945,4.093,2,0.045,6 +619,B1 LM,CRAWFORD,3054.0,67.146,0.7170000000000001,0.965,6.695,3.67,2,0.023,8 +620,B2 SH,CRAWFORD,3054.5,80.0,0.708,1.965,8.815,3.361,1,1.0,3 +621,B2 SH,CRAWFORD,3055.0,85.05,0.69,3.215,10.515,3.16,1,0.95,2 +622,B2 SH,CRAWFORD,3055.5,83.946,0.659,3.965,11.115,3.178,1,0.9,2 +623,B2 SH,CRAWFORD,3056.0,80.973,0.623,4.61,10.99,3.2110000000000003,1,0.85,2 +624,B2 SH,CRAWFORD,3056.5,78.782,0.5920000000000001,4.845,10.905,3.213,1,0.8,2 +625,B2 SH,CRAWFORD,3057.0,76.082,0.574,4.82,10.73,3.2310000000000003,1,0.75,2 +626,B2 SH,CRAWFORD,3057.5,72.925,0.562,4.535,10.405,3.217,1,0.7,2 +627,B2 SH,CRAWFORD,3058.0,72.04899999999999,0.55,4.24,10.55,3.187,1,0.65,2 +628,B2 SH,CRAWFORD,3058.5,71.391,0.535,4.115,11.005,3.128,1,0.6,2 +629,B2 SH,CRAWFORD,3059.0,70.751,0.527,4.055,11.765,3.036,1,0.55,2 +630,B2 SH,CRAWFORD,3059.5,71.26100000000001,0.5329999999999999,4.235,12.565,3.0069999999999997,1,0.5,2 +631,B2 SH,CRAWFORD,3060.0,73.11,0.518,4.44,12.8,2.978,1,0.45,2 +632,B2 SH,CRAWFORD,3060.5,75.425,0.491,3.815,12.085,2.903,1,0.4,2 +633,B2 SH,CRAWFORD,3061.0,76.828,0.47,3.265,11.525,2.687,1,0.35,2 +634,B2 SH,CRAWFORD,3061.5,75.04,0.45799999999999996,3.16,11.69,2.58,1,0.3,2 +635,B2 SH,CRAWFORD,3062.0,70.288,0.449,3.695,12.535,2.5340000000000003,1,0.25,2 +636,B2 LM,CRAWFORD,3062.5,66.266,0.44299999999999995,4.505,13.995,2.553,1,0.2,2 +637,B2 LM,CRAWFORD,3063.0,60.79,0.441,6.07,16.34,2.679,1,0.15,2 +638,B2 LM,CRAWFORD,3063.5,54.67,0.444,6.25,16.74,3.35,1,0.1,3 +639,B2 LM,CRAWFORD,3064.0,48.093999999999994,0.445,5.995,16.615,3.865,1,0.05,3 +640,B2 LM,CRAWFORD,3064.5,41.062,0.445,3.425,13.955,4.24,2,1.0,8 +641,B2 LM,CRAWFORD,3065.0,39.046,0.455,1.725,12.915,4.507,2,0.9640000000000001,8 +642,B2 LM,CRAWFORD,3065.5,38.169000000000004,0.45799999999999996,1.1,12.79,4.354,2,0.929,8 +643,B2 LM,CRAWFORD,3066.0,40.493,0.465,0.895,13.365,4.293,2,0.893,8 +644,B2 LM,CRAWFORD,3066.5,43.948,0.45899999999999996,0.68,13.98,4.248,2,0.857,8 +645,B2 LM,CRAWFORD,3067.0,46.49100000000001,0.423,0.57,14.45,4.266,2,0.821,9 +646,B2 LM,CRAWFORD,3067.5,47.21,0.392,0.565,14.945,4.331,2,0.7859999999999999,9 +647,B2 LM,CRAWFORD,3068.0,46.788999999999994,0.34600000000000003,0.765,15.325,4.395,2,0.75,9 +648,B2 LM,CRAWFORD,3068.5,45.912,0.325,0.985,15.625,4.397,2,0.7140000000000001,9 +649,B2 LM,CRAWFORD,3069.0,45.70399999999999,0.304,1.205,15.925,4.383,2,0.679,9 +650,B2 LM,CRAWFORD,3069.5,45.527,0.295,1.27,15.89,4.276,2,0.643,9 +651,B2 LM,CRAWFORD,3070.0,44.887,0.289,1.155,15.315,4.123,2,0.607,9 +652,B2 LM,CRAWFORD,3070.5,44.23,0.29,0.815,14.205,3.95,2,0.5710000000000001,9 +653,B2 LM,CRAWFORD,3071.0,44.273999999999994,0.281,0.55,12.84,3.785,2,0.536,9 +654,B2 LM,CRAWFORD,3071.5,45.221000000000004,0.247,0.545,11.605,3.647,2,0.5,9 +655,B2 LM,CRAWFORD,3072.0,46.396,0.16699999999999998,1.685,11.385,3.431,2,0.46399999999999997,9 +656,B2 LM,CRAWFORD,3072.5,46.888000000000005,0.11800000000000001,2.92,12.76,3.2,2,0.429,9 +657,B2 LM,CRAWFORD,3073.0,46.475,0.069,4.4,16.76,2.968,2,0.39299999999999996,9 +658,B2 LM,CRAWFORD,3073.5,46.738,0.042,5.065,20.085,2.815,2,0.35700000000000004,9 +659,B2 LM,CRAWFORD,3074.0,47.913999999999994,0.033,4.815,20.915,2.8480000000000003,2,0.321,8 +660,B2 LM,CRAWFORD,3074.5,51.596000000000004,0.04,4.485,20.755,2.99,2,0.28600000000000003,7 +661,B2 LM,CRAWFORD,3075.0,62.89,0.102,4.42,17.02,3.4739999999999998,2,0.25,7 +662,B2 LM,CRAWFORD,3075.5,80.38,0.22,3.955,12.965,4.067,2,0.214,7 +663,B2 LM,CRAWFORD,3076.0,105.725,0.34700000000000003,2.42,7.33,4.271,2,0.179,7 +664,B2 LM,CRAWFORD,3076.5,131.069,0.524,1.655,5.355,3.838,2,0.14300000000000002,6 +665,B2 LM,CRAWFORD,3077.0,145.018,0.636,-0.905,7.135,3.2030000000000003,2,0.107,6 +666,B2 LM,CRAWFORD,3077.5,131.376,0.726,-1.94,12.26,2.8160000000000003,2,0.071,8 +667,B3 SH,CRAWFORD,3078.0,110.21,0.792,0.27,14.14,2.678,2,0.036000000000000004,8 +668,B3 SH,CRAWFORD,3078.5,89.045,0.826,3.14,13.7,2.773,1,1.0,3 +669,B3 SH,CRAWFORD,3079.0,73.807,0.8079999999999999,4.795,11.855,3.3710000000000004,1,0.9440000000000001,3 +670,B3 SH,CRAWFORD,3079.5,73.158,0.7809999999999999,4.755,10.905,3.4930000000000003,1,0.889,2 +671,B3 SH,CRAWFORD,3080.0,73.195,0.763,3.975,10.205,3.432,1,0.833,2 +672,B3 SH,CRAWFORD,3080.5,72.325,0.748,3.68,10.0,3.387,1,0.778,2 +673,B3 SH,CRAWFORD,3081.0,71.221,0.742,3.33,9.69,3.3739999999999997,1,0.722,2 +674,B3 SH,CRAWFORD,3081.5,70.563,0.742,2.76,9.25,3.3289999999999997,1,0.667,2 +675,B3 SH,CRAWFORD,3082.0,71.51899999999999,0.733,1.75,10.04,3.145,1,0.611,2 +676,B3 SH,CRAWFORD,3082.5,74.062,0.722,2.32,12.64,2.945,1,0.556,2 +677,B3 SH,CRAWFORD,3083.0,77.061,0.71,2.765,15.055,2.7760000000000002,1,0.5,2 +678,B3 SH,CRAWFORD,3083.5,78.693,0.695,3.04,15.66,2.793,1,0.444,2 +679,B3 SH,CRAWFORD,3084.0,79.192,0.6829999999999999,2.505,14.075,2.951,1,0.389,2 +680,B3 SH,CRAWFORD,3084.5,79.192,0.6829999999999999,2.505,14.075,2.951,1,0.389,2 +681,B3 SH,CRAWFORD,3085.0,78.999,0.662,2.395,12.335,2.984,1,0.33299999999999996,2 +682,B3 SH,CRAWFORD,3085.5,78.11399999999999,0.64,2.395,11.095,2.909,1,0.278,2 +683,B3 SH,CRAWFORD,3086.0,77.24600000000001,0.625,2.705,12.075,2.708,1,0.222,2 +684,B3 SH,CRAWFORD,3086.5,76.369,0.62,2.305,15.615,2.6010000000000004,1,0.16699999999999998,2 +685,B3 SH,CRAWFORD,3087.0,72.301,0.633,0.98,21.27,2.759,1,0.111,3 +686,B3 SH,CRAWFORD,3087.5,61.107,0.667,-1.74,21.21,3.8489999999999998,1,0.055999999999999994,3 +687,B3 LM,CRAWFORD,3088.0,41.148999999999994,0.68,-2.295,18.875,4.854,2,1.0,8 +688,B3 LM,CRAWFORD,3088.5,28.419,0.6859999999999999,-0.92,14.54,5.0360000000000005,2,0.938,8 +689,B3 LM,CRAWFORD,3089.0,22.526999999999997,0.687,0.36,10.24,5.044,2,0.875,8 +690,B3 LM,CRAWFORD,3089.5,18.459,0.684,2.27,8.16,4.931,2,0.813,8 +691,B3 LM,CRAWFORD,3090.0,17.345,0.679,2.67,8.23,4.547,2,0.75,8 +692,B3 LM,CRAWFORD,3090.5,17.617,0.6759999999999999,2.855,8.725,4.328,2,0.688,8 +693,B3 LM,CRAWFORD,3091.0,19.292,0.664,2.695,9.465,4.2989999999999995,2,0.625,8 +694,B3 LM,CRAWFORD,3091.5,21.572,0.655,2.535,9.705,4.301,2,0.563,8 +695,B3 LM,CRAWFORD,3092.0,22.975,0.653,1.95,9.21,4.319,2,0.5,8 +696,B3 LM,CRAWFORD,3092.5,23.921999999999997,0.65,1.34,8.59,4.305,2,0.43799999999999994,8 +697,B3 LM,CRAWFORD,3093.0,24.869,0.657,0.63,7.42,4.291,2,0.375,8 +698,B3 LM,CRAWFORD,3093.5,27.64,0.669,0.42,6.02,4.216,2,0.313,8 +699,B3 LM,CRAWFORD,3094.0,34.058,0.67,0.44,4.4,4.109,2,0.25,6 +700,B3 LM,CRAWFORD,3094.5,41.489,0.652,1.11,4.03,3.815,2,0.188,6 +701,B3 LM,CRAWFORD,3095.0,51.235,0.631,1.73,5.19,3.444,2,0.125,6 +702,B4 SH,CRAWFORD,3095.5,55.601000000000006,0.61,2.42,7.82,3.1460000000000004,2,0.063,8 +703,B4 SH,CRAWFORD,3096.0,59.512,0.601,3.715,10.375,2.935,1,1.0,3 +704,B4 SH,CRAWFORD,3096.5,62.055,0.598,4.13,12.01,2.844,1,0.95,2 +705,B4 SH,CRAWFORD,3097.0,64.37,0.5920000000000001,3.83,12.15,2.7680000000000002,1,0.9,2 +706,B4 SH,CRAWFORD,3097.5,65.773,0.5870000000000001,3.32,11.31,2.708,1,0.85,2 +707,B4 SH,CRAWFORD,3098.0,66.036,0.593,2.635,9.895,2.6630000000000003,1,0.8,2 +708,B4 SH,CRAWFORD,3098.5,64.712,0.597,2.65,9.32,2.616,1,0.75,2 +709,B4 SH,CRAWFORD,3099.0,64.039,0.6,2.545,8.775,2.603,1,0.7,2 +710,B4 SH,CRAWFORD,3099.5,64.332,0.61,2.57,8.69,2.589,1,0.65,2 +711,B4 SH,CRAWFORD,3100.0,68.247,0.601,2.545,9.105,2.531,1,0.6,2 +712,B4 SH,CRAWFORD,3100.5,75.809,0.583,2.99,10.63,2.4859999999999998,1,0.55,2 +713,B4 SH,CRAWFORD,3101.0,84.73899999999999,0.5589999999999999,3.69,12.42,2.488,1,0.5,2 +714,B4 SH,CRAWFORD,3101.5,95.76799999999999,0.541,4.595,14.775,2.52,1,0.45,2 +715,B4 SH,CRAWFORD,3102.0,94.175,0.529,4.575,15.465,2.6,1,0.4,2 +716,B4 SH,CRAWFORD,3102.5,89.427,0.529,4.575,15.555,2.7880000000000003,1,0.35,2 +717,B4 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SH,CRAWFORD,3159.5,90.49,0.53,6.36,16.78,3.168,1,0.583,2 +828,C SH,CRAWFORD,3160.0,90.975,0.522,7.035,16.995,3.154,1,0.556,2 +829,C SH,CRAWFORD,3160.5,90.10799999999999,0.513,7.505,17.595,3.125,1,0.528,2 diff --git a/StoDIG/classification_utilities.py b/StoDIG/classification_utilities.py new file mode 100644 index 0000000..84b602f --- /dev/null +++ b/StoDIG/classification_utilities.py @@ -0,0 +1,78 @@ +from __future__ import print_function +import numpy as np + + +def display_cm(cm, labels, hide_zeros=False, + display_metrics=False): + """Display confusion matrix with labels, along with + metrics such as Recall, Precision and F1 score. + Based on Zach Guo's print_cm gist at + https://gist.github.com/zachguo/10296432 + """ + + precision = np.diagonal(cm)/cm.sum(axis=0).astype('float') + recall = np.diagonal(cm)/cm.sum(axis=1).astype('float') + F1 = 2 * (precision * recall) / (precision + recall) + + precision[np.isnan(precision)] = 0 + recall[np.isnan(recall)] = 0 + F1[np.isnan(F1)] = 0 + + total_precision = np.sum(precision * cm.sum(axis=1)) / cm.sum(axis=(0,1)) + total_recall = np.sum(recall * cm.sum(axis=1)) / cm.sum(axis=(0,1)) + total_F1 = np.sum(F1 * cm.sum(axis=1)) / cm.sum(axis=(0,1)) + #print total_precision + + columnwidth = max([len(x) for x in labels]+[5]) # 5 is value length + empty_cell = " " * columnwidth + # Print header + print(" " + " Pred", end=' ') + for label in labels: + print("%{0}s".format(columnwidth) % label, end=' ') + print("%{0}s".format(columnwidth) % 'Total') + print(" " + " True") + # Print rows + for i, label1 in enumerate(labels): + print(" %{0}s".format(columnwidth) % label1, end=' ') + for j in range(len(labels)): + cell = "%{0}d".format(columnwidth) % cm[i, j] + if hide_zeros: + cell = cell if float(cm[i, j]) != 0 else empty_cell + print(cell, end=' ') + print("%{0}d".format(columnwidth) % sum(cm[i,:])) + + if display_metrics: + print() + print("Precision", end=' ') + for j in range(len(labels)): + cell = "%{0}.2f".format(columnwidth) % precision[j] + print(cell, end=' ') + print("%{0}.2f".format(columnwidth) % total_precision) + print(" Recall", end=' ') + for j in range(len(labels)): + cell = "%{0}.2f".format(columnwidth) % recall[j] + print(cell, end=' ') + print("%{0}.2f".format(columnwidth) % total_recall) + print(" F1", end=' ') + for j in range(len(labels)): + cell = "%{0}.2f".format(columnwidth) % F1[j] + print(cell, end=' ') + print("%{0}.2f".format(columnwidth) % total_F1) + + +def display_adj_cm( + cm, labels, adjacent_facies, hide_zeros=False, + display_metrics=False): + """This function displays a confusion matrix that counts + adjacent facies as correct. + """ + adj_cm = np.copy(cm) + + for i in np.arange(0,cm.shape[0]): + for j in adjacent_facies[i]: + adj_cm[i][i] += adj_cm[i][j] + adj_cm[i][j] = 0.0 + + display_cm(adj_cm, labels, hide_zeros, + display_metrics) + \ No newline at end of file diff --git a/StoDIG/train_test_data.csv b/StoDIG/train_test_data.csv new file 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LM,SHRIMPLIN,2884,18.19,0.855,5.6,3.285,6.2,2,0.75 +8,B2 LM,SHRIMPLIN,2884.5,17.08,0.982,5.4,3.99,6.3,2,0.688 +8,B2 LM,SHRIMPLIN,2885,15.88,1.107,5.5,4.34,6.2,2,0.625 +8,B2 LM,SHRIMPLIN,2885.5,20.38,1.17,5,4.645,5.9,2,0.563 +8,B2 LM,SHRIMPLIN,2886,24.93,1.173,5.1,4.77,5.8,2,0.5 +8,B2 LM,SHRIMPLIN,2886.5,28.57,1.15,4.5,4.725,5.8,2,0.438 +8,B2 LM,SHRIMPLIN,2887,34.54,1.115,5,4.365,5.7,2,0.375 +8,B2 LM,SHRIMPLIN,2887.5,42.34,1.064,5.3,4.4,5.7,2,0.313 +8,B2 LM,SHRIMPLIN,2888,44.21,1.008,5.5,4.86,5.5,2,0.25 +6,B2 LM,SHRIMPLIN,2888.5,44.15,0.943,4.1,5.47,5.6,2,0.188 +6,B2 LM,SHRIMPLIN,2889,39.25,0.88,3.9,5.905,5.6,2,0.125 +6,B2 LM,SHRIMPLIN,2889.5,38.37,0.812,5.7,7.13,5.4,2,0.063 +2,B3 SH,SHRIMPLIN,2890,60.63,0.74,9.1,9.33,4.7,1,1 +2,B3 SH,SHRIMPLIN,2890.5,83.69,0.684,12.4,11.31,4,1,0.967 +2,B3 SH,SHRIMPLIN,2891,87.3,0.648,13.7,11.975,3.6,1,0.933 +2,B3 SH,SHRIMPLIN,2891.5,89.07,0.619,13.7,12.065,3.6,1,0.9 +2,B3 SH,SHRIMPLIN,2892,91.06,0.584,12.9,12.21,3.7,1,0.867 +2,B3 SH,SHRIMPLIN,2892.5,98.37,0.559,12,12.485,3.7,1,0.833 +2,B3 SH,SHRIMPLIN,2893,87.1,0.548,11.3,12.23,3.7,1,0.8 +2,B3 SH,SHRIMPLIN,2893.5,83.81,0.542,10.9,11.67,3.5,1,0.767 +2,B3 SH,SHRIMPLIN,2894,83.11,0.535,10.4,11.96,3.4,1,0.733 +2,B3 SH,SHRIMPLIN,2894.5,85.4,0.529,11.1,13.05,3.3,1,0.7 +2,B3 SH,SHRIMPLIN,2895,86.83,0.524,11.5,13.735,3.3,1,0.667 +2,B3 SH,SHRIMPLIN,2895.5,80.54,0.515,11.2,13.6,3.3,1,0.633 +2,B3 SH,SHRIMPLIN,2896,77.67,0.501,10.3,12.905,3.2,1,0.6 +2,B3 SH,SHRIMPLIN,2896.5,74.74,0.489,8.9,12.575,3.3,1,0.567 +2,B3 SH,SHRIMPLIN,2897,75.06,0.481,8.8,12.305,3.2,1,0.533 +2,B3 SH,SHRIMPLIN,2897.5,76.98,0.477,8.3,12.35,3.2,1,0.5 +2,B3 SH,SHRIMPLIN,2898,79.6,0.471,8.5,12.855,3.2,1,0.467 +2,B3 SH,SHRIMPLIN,2898.5,92.95,0.467,8.6,14.3,3.3,1,0.433 +2,B3 SH,SHRIMPLIN,2899,94.25,0.467,9,14.21,3.3,1,0.4 +2,B3 SH,SHRIMPLIN,2899.5,83.12,0.467,9.1,13.64,3.3,1,0.367 +2,B3 SH,SHRIMPLIN,2900,75.02,0.471,9.2,12.5,3.4,1,0.333 +2,B3 SH,SHRIMPLIN,2900.5,62.61,0.48,8.7,11.92,3.3,1,0.3 +2,B3 SH,SHRIMPLIN,2901,68.47,0.487,8.2,11.635,3.3,1,0.267 +2,B3 SH,SHRIMPLIN,2901.5,69.58,0.484,7.3,11.265,3.3,1,0.233 +2,B3 SH,SHRIMPLIN,2902,76.05,0.479,7.5,11.375,3.5,1,0.2 +2,B3 SH,SHRIMPLIN,2902.5,89.53,0.471,8.4,12.285,3.5,1,0.167 +3,B3 SH,SHRIMPLIN,2903,97.25,0.464,9.1,15.135,3.5,1,0.133 +3,B3 SH,SHRIMPLIN,2903.5,95.12,0.474,8.1,21.93,3.5,1,0.1 +3,B3 SH,SHRIMPLIN,2904,91.67,0.501,6.4,26.715,3.3,1,0.067 +3,B3 SH,SHRIMPLIN,2904.5,85.15,0.521,3.7,25.875,3.2,1,0.033 +8,B3 LM,SHRIMPLIN,2905,65.17,0.534,2.5,18.92,3.2,2,1 +8,B3 LM,SHRIMPLIN,2905.5,32.9,0.547,2.3,12.215,3.7,2,0.917 +8,B3 LM,SHRIMPLIN,2906,19.92,0.549,1.9,10.63,4.8,2,0.833 +8,B3 LM,SHRIMPLIN,2906.5,14.52,0.549,2.4,11.06,5.2,2,0.75 +8,B3 LM,SHRIMPLIN,2907,14.75,0.558,3.5,12.15,5.4,2,0.667 +8,B3 LM,SHRIMPLIN,2907.5,15.01,0.565,3.9,13.16,5.2,2,0.583 +8,B3 LM,SHRIMPLIN,2908,15.68,0.56,3.7,14.02,5.2,2,0.5 +8,B3 LM,SHRIMPLIN,2908.5,16.96,0.55,3,14.255,5.3,2,0.417 +8,B3 LM,SHRIMPLIN,2909,15.78,0.534,3.1,12.705,5.5,2,0.333 +8,B3 LM,SHRIMPLIN,2909.5,15.71,0.507,3.9,11.095,5.7,2,0.25 +8,B3 LM,SHRIMPLIN,2910,17.29,0.484,3.6,10.225,5.7,2,0.167 +8,B3 LM,SHRIMPLIN,2910.5,25.4,0.476,3.5,10.81,5.6,2,0.083 +2,B4 SH,SHRIMPLIN,2911,54.3,0.48,5.7,11.865,5.1,1,1 +2,B4 SH,SHRIMPLIN,2911.5,77.86,0.493,8,11.795,4,1,0.966 +2,B4 SH,SHRIMPLIN,2912,81.08,0.496,8.6,11.345,3.6,1,0.931 +2,B4 SH,SHRIMPLIN,2912.5,64.84,0.489,6.8,10.6,3.3,1,0.897 +2,B4 SH,SHRIMPLIN,2913,68.3,0.476,6.3,10.89,3.5,1,0.862 +2,B4 SH,SHRIMPLIN,2913.5,62.2,0.456,6,11.805,3.4,1,0.828 +2,B4 SH,SHRIMPLIN,2914,62.13,0.447,6.8,12.205,3.4,1,0.793 +2,B4 SH,SHRIMPLIN,2914.5,59.9,0.447,7.5,12.495,3.4,1,0.759 +2,B4 SH,SHRIMPLIN,2915,66.76,0.446,7.6,12.57,3.3,1,0.724 +2,B4 SH,SHRIMPLIN,2915.5,68.75,0.441,8.4,12.535,3.4,1,0.69 +2,B4 SH,SHRIMPLIN,2916,89.47,0.431,10,13.055,3.3,1,0.655 +2,B4 SH,SHRIMPLIN,2916.5,92.28,0.42,12.3,14.46,3.3,1,0.621 +2,B4 SH,SHRIMPLIN,2917,89.52,0.41,13.6,15.78,3.2,1,0.586 +2,B4 SH,SHRIMPLIN,2917.5,72.44,0.401,11.6,15.58,3.3,1,0.552 +2,B4 SH,SHRIMPLIN,2918,65.12,0.389,10.4,15.095,3.2,1,0.517 +2,B4 SH,SHRIMPLIN,2918.5,61.43,0.375,7.4,14.62,3.2,1,0.483 +2,B4 SH,SHRIMPLIN,2919,64.01,0.362,6.4,15.335,3,1,0.448 +2,B4 SH,SHRIMPLIN,2919.5,60.03,0.354,4.5,15,3,1,0.414 +2,B4 SH,SHRIMPLIN,2920,66.07,0.348,4.4,14.44,3.1,1,0.379 +2,B4 SH,SHRIMPLIN,2920.5,74.64,0.344,5,13.845,3.2,1,0.345 +2,B4 SH,SHRIMPLIN,2921,76.08,0.344,5.9,14.19,3.3,1,0.31 +2,B4 SH,SHRIMPLIN,2921.5,77.9,0.35,6.8,14.375,3.3,1,0.276 +2,B4 SH,SHRIMPLIN,2922,90.26,0.354,7.1,14.075,3.2,1,0.241 +2,B4 SH,SHRIMPLIN,2922.5,100.24,0.362,6.9,13.22,3.2,1,0.207 +2,B4 SH,SHRIMPLIN,2923,104.57,0.367,8,14.63,3.2,1,0.172 +2,B4 SH,SHRIMPLIN,2923.5,117.83,0.382,8.6,18.955,3.4,1,0.138 +2,B4 SH,SHRIMPLIN,2924,119.71,0.403,12.2,24.86,3.5,1,0.103 +2,B4 SH,SHRIMPLIN,2924.5,114.49,0.436,13.7,26.24,3.2,1,0.069 +2,B4 SH,SHRIMPLIN,2925,76.16,0.473,12.7,21.64,3.1,1,0.034 +8,B4 LM,SHRIMPLIN,2925.5,34.5,0.509,8.2,15.465,3.4,2,1 +8,B4 LM,SHRIMPLIN,2926,17.99,0.548,3.1,11.83,4.7,2,0.889 +8,B4 LM,SHRIMPLIN,2926.5,16.23,0.597,1.7,9.835,5.9,2,0.778 +8,B4 LM,SHRIMPLIN,2927,16.97,0.669,1.3,7.54,5.7,2,0.667 +8,B4 LM,SHRIMPLIN,2927.5,18.68,0.745,2.3,5.93,5.7,2,0.556 +8,B4 LM,SHRIMPLIN,2928,30.74,0.778,3.6,5.83,5.8,2,0.444 +8,B4 LM,SHRIMPLIN,2928.5,46.76,0.775,3.6,6.47,5.6,2,0.333 +6,B4 LM,SHRIMPLIN,2929,49.39,0.732,3.9,6.69,5.3,2,0.222 +6,B4 LM,SHRIMPLIN,2929.5,44.23,0.669,5.7,7.985,5,2,0.111 +3,B5 SH,SHRIMPLIN,2930,54.96,0.602,7.3,10.27,4.2,1,1 +3,B5 SH,SHRIMPLIN,2930.5,68.62,0.55,9.9,13.345,3.6,1,0.941 +2,B5 SH,SHRIMPLIN,2931,84.84,0.507,11,14.745,3.1,1,0.882 +2,B5 SH,SHRIMPLIN,2931.5,82.8,0.462,11.9,16.365,3.2,1,0.824 +3,B5 SH,SHRIMPLIN,2932,95.56,0.425,11,18.035,3.4,1,0.765 +3,B5 SH,SHRIMPLIN,2932.5,106.29,0.401,8.4,21.3,3.2,1,0.706 +3,B5 SH,SHRIMPLIN,2933,95.11,0.394,7.8,21.825,3.2,1,0.647 +3,B5 SH,SHRIMPLIN,2933.5,96.55,0.391,8.2,20.44,3.1,1,0.588 +3,B5 SH,SHRIMPLIN,2934,92.19,0.391,11.1,17.735,3.3,1,0.529 +3,B5 SH,SHRIMPLIN,2934.5,100.17,0.391,11.6,18.11,3.2,1,0.471 +3,B5 SH,SHRIMPLIN,2935,101.7,0.387,11.9,19.115,3.2,1,0.412 +3,B5 SH,SHRIMPLIN,2935.5,100.5,0.38,13.8,18.12,3.2,1,0.353 +3,B5 SH,SHRIMPLIN,2936,102.07,0.369,15.5,17.425,3.4,1,0.294 +3,B5 SH,SHRIMPLIN,2936.5,109.83,0.358,15.2,18.72,3.7,1,0.235 +3,B5 SH,SHRIMPLIN,2937,118.17,0.354,18.5,21.295,3.9,1,0.176 +3,B5 SH,SHRIMPLIN,2937.5,119.16,0.358,17.9,24.97,3.8,1,0.118 +6,B5 LM,SHRIMPLIN,2938,63.36,0.384,8.2,20.85,3.3,2,1 +6,B5 LM,SHRIMPLIN,2938.5,44.37,0.398,6.1,14.47,3.4,2,0.95 +6,B5 LM,SHRIMPLIN,2939,37.71,0.413,4.7,12.17,4,2,0.9 +6,B5 LM,SHRIMPLIN,2939.5,37.36,0.438,4.4,12.545,5,2,0.85 +6,B5 LM,SHRIMPLIN,2940,39.66,0.467,4.6,13.01,5,2,0.8 +8,B5 LM,SHRIMPLIN,2940.5,52.61,0.487,5.1,12.835,5.3,2,0.75 +8,B5 LM,SHRIMPLIN,2941,53.75,0.501,5.2,12.71,6,2,0.7 +8,B5 LM,SHRIMPLIN,2941.5,59.61,0.504,5.5,12.8,6.1,2,0.65 +8,B5 LM,SHRIMPLIN,2942,62.99,0.501,5.1,12.9,5.6,2,0.6 +8,B5 LM,SHRIMPLIN,2942.5,72.39,0.496,4.6,12.795,5.1,2,0.55 +8,B5 LM,SHRIMPLIN,2943,81.12,0.496,4.3,12.595,5,2,0.5 +8,B5 LM,SHRIMPLIN,2944,234.8,0.515,4.7,11.41,4.8,2,0.4 +8,B5 LM,SHRIMPLIN,2944,234.8,0.515,4.7,11.41,4.8,2,0.4 +8,B5 LM,SHRIMPLIN,2944.5,273.48,0.538,5.3,10.045,5.1,2,0.35 +8,B5 LM,SHRIMPLIN,2945,164.34,0.573,5.9,8.48,5.3,2,0.3 +8,B5 LM,SHRIMPLIN,2945.5,101.5,0.6,5.9,7.805,5.7,2,0.25 +6,B5 LM,SHRIMPLIN,2946,84.6,0.616,4.3,7.58,5.7,2,0.2 +6,B5 LM,SHRIMPLIN,2946.5,84.6,0.616,4.3,7.58,5.7,2,0.2 +8,B5 LM,SHRIMPLIN,2947,91.02,0.621,3.5,7.795,5.7,2,0.15 +4,B5 LM,SHRIMPLIN,2947.5,116.04,0.605,3.8,7.73,5.5,2,0.1 +4,B5 LM,SHRIMPLIN,2948,129.74,0.574,5,8.61,4.7,2,0.05 +3,C SH,SHRIMPLIN,2948.5,130.95,0.545,6.2,12.17,4.2,1,1 +3,C SH,SHRIMPLIN,2949,127.25,0.519,7.5,17.585,3.6,1,0.982 +3,C SH,SHRIMPLIN,2949.5,115.33,0.484,10.4,20.065,3.3,1,0.965 +3,C SH,SHRIMPLIN,2950,110.37,0.453,13.2,19.63,3.2,1,0.947 +3,C SH,SHRIMPLIN,2950.5,95.97,0.433,12.9,17.945,3.2,1,0.93 +3,C SH,SHRIMPLIN,2951,92.1,0.415,14.9,17.19,3.5,1,0.912 +3,C SH,SHRIMPLIN,2951.5,92.33,0.401,14.7,16.855,3.6,1,0.895 +3,C SH,SHRIMPLIN,2952,84.32,0.401,14.9,17.04,3.7,1,0.877 +3,C SH,SHRIMPLIN,2952.5,85.93,0.405,14.1,16.725,3.7,1,0.86 +3,C SH,SHRIMPLIN,2953,86.15,0.41,13.5,16.505,3.7,1,0.842 +3,C SH,SHRIMPLIN,2953.5,87.94,0.418,13.6,16.735,3.6,1,0.825 +3,C SH,SHRIMPLIN,2954,86.68,0.425,14.1,16.94,3.6,1,0.807 +3,C SH,SHRIMPLIN,2954.5,85.31,0.431,14.7,17.845,3.5,1,0.789 +3,C SH,SHRIMPLIN,2955,86.99,0.441,13.9,18.455,3.5,1,0.772 +3,C SH,SHRIMPLIN,2955.5,88.41,0.456,13.4,18.05,3.6,1,0.754 +3,C SH,SHRIMPLIN,2956,85.73,0.471,13.6,15.635,3.8,1,0.737 +3,C SH,SHRIMPLIN,2956.5,79.97,0.48,13.1,13.72,4.1,1,0.719 +3,C SH,SHRIMPLIN,2957,72.32,0.489,13.4,13.05,4.3,1,0.702 +3,C SH,SHRIMPLIN,2957.5,69.7,0.496,13,13.785,4.2,1,0.684 +3,C SH,SHRIMPLIN,2958,78.44,0.504,13.5,13.815,4.1,1,0.667 +3,C SH,SHRIMPLIN,2958.5,82.19,0.509,12.2,14.275,4,1,0.649 +3,C SH,SHRIMPLIN,2959,85.45,0.509,12.6,15.215,4,1,0.632 +3,C SH,SHRIMPLIN,2959.5,92.63,0.508,13.7,16.465,3.9,1,0.614 +3,C SH,SHRIMPLIN,2960,88.92,0.507,14.6,16.885,3.9,1,0.596 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LM,SHRIMPLIN,2986,36.63,0.78,0.9,8.165,4.8,2,0.824 +5,C LM,SHRIMPLIN,2986.5,36.1,0.783,0.5,8.115,4.3,2,0.814 +5,C LM,SHRIMPLIN,2987,42.06,0.787,0.6,7.475,4,2,0.804 +5,C LM,SHRIMPLIN,2987.5,44.31,0.792,1.5,6.77,4,2,0.794 +5,C LM,SHRIMPLIN,2988,43.19,0.803,2.1,6.215,4.1,2,0.784 +5,C LM,SHRIMPLIN,2988.5,39.82,0.82,2.3,6.04,4.3,2,0.775 +5,C LM,SHRIMPLIN,2989,41.71,0.839,2.3,6.61,4.4,2,0.765 +5,C LM,SHRIMPLIN,2989.5,43.02,0.865,2.5,7.01,4.3,2,0.755 +5,C LM,SHRIMPLIN,2990,42.6,0.889,2.4,7.33,4.2,2,0.745 +5,C LM,SHRIMPLIN,2990.5,41.53,0.906,2.7,6.94,4,2,0.735 +5,C LM,SHRIMPLIN,2991,46.69,0.918,2.1,6.705,4.2,2,0.725 +5,C LM,SHRIMPLIN,2991.5,49,0.929,2.4,6.685,4.3,2,0.716 +5,C LM,SHRIMPLIN,2992,51.83,0.936,2.1,7.07,4.5,2,0.706 +5,C LM,SHRIMPLIN,2992.5,45.87,0.94,2.7,7.445,4.2,2,0.696 +5,C LM,SHRIMPLIN,2993,45.87,0.94,2.7,7.445,4.2,2,0.696 +5,C LM,SHRIMPLIN,2993.5,46.83,0.943,2.4,7.655,4.4,2,0.686 +5,C LM,SHRIMPLIN,2994,47.5,0.946,2.9,7.705,4,2,0.676 +5,C LM,SHRIMPLIN,2994.5,48.88,0.947,3.1,7.33,4,2,0.667 +5,C LM,SHRIMPLIN,2995,45.88,0.949,4.6,6.865,3.8,2,0.657 +5,C LM,SHRIMPLIN,2995.5,51.63,0.952,4.3,6.88,4.1,2,0.647 +5,C LM,SHRIMPLIN,2996,49.28,0.954,3.9,7.085,4.3,2,0.637 +5,C LM,SHRIMPLIN,2996.5,52.4,0.956,3.7,7.105,4.4,2,0.627 +5,C LM,SHRIMPLIN,2997,50.59,0.96,4.3,6.665,4.5,2,0.618 +5,C LM,SHRIMPLIN,2997.5,49.71,0.963,4.5,6.645,4.6,2,0.608 +5,C LM,SHRIMPLIN,2998,46.48,0.967,4.8,6.69,4.6,2,0.598 +5,C LM,SHRIMPLIN,2998.5,50.19,0.972,4.6,6.815,4.5,2,0.588 +5,C LM,SHRIMPLIN,2999,55.85,0.969,4.7,6.475,4.3,2,0.578 +5,C LM,SHRIMPLIN,2999.5,74.49,0.954,4.8,6.14,4.2,2,0.569 +4,C LM,SHRIMPLIN,3000,126.32,0.936,5.2,6.41,4.2,2,0.559 +4,C LM,SHRIMPLIN,3000.5,274,0.92,6.9,7.65,4.5,2,0.549 +4,C LM,SHRIMPLIN,3001,358.74,0.903,8.5,10.035,4.6,2,0.539 +4,C LM,SHRIMPLIN,3001.5,361.15,0.896,9.9,12.255,4.8,2,0.529 +4,C LM,SHRIMPLIN,3002,227.99,0.894,10.3,12.67,4.7,2,0.52 +5,C LM,SHRIMPLIN,3002.5,115.43,0.893,10,11.24,4.6,2,0.51 +5,C LM,SHRIMPLIN,3003,80.43,0.893,9.3,9.055,4.3,2,0.5 +5,C LM,SHRIMPLIN,3003.5,65.06,0.898,8.4,8.13,4.5,2,0.49 +5,C LM,SHRIMPLIN,3004,49.86,0.91,7.6,7.585,4.8,2,0.48 +5,C LM,SHRIMPLIN,3004.5,51.04,0.925,7.3,7.795,5.1,2,0.471 +5,C LM,SHRIMPLIN,3005,52.63,0.942,7.6,7.84,5,2,0.461 +5,C LM,SHRIMPLIN,3005.5,56.88,0.975,7.8,8.3,4.9,2,0.441 +5,C LM,SHRIMPLIN,3006,60.61,0.982,7.8,8.335,4.9,2,0.431 +5,C LM,SHRIMPLIN,3006.5,57.36,0.985,7.6,8.07,4.7,2,0.422 +5,C LM,SHRIMPLIN,3007,53.58,0.986,7.2,8.13,4.6,2,0.412 +5,C LM,SHRIMPLIN,3007.5,52.02,0.986,7.1,8.165,4.7,2,0.402 +5,C LM,SHRIMPLIN,3008,53.66,0.986,7.4,8.46,4.8,2,0.392 +5,C LM,SHRIMPLIN,3008.5,55.22,0.985,7.7,8.54,4.8,2,0.382 +5,C LM,SHRIMPLIN,3009,50.16,0.982,7.2,8.38,4.7,2,0.373 +5,C LM,SHRIMPLIN,3009.5,55.6,0.971,7.1,8.295,4.5,2,0.363 +5,C LM,SHRIMPLIN,3010,53.77,0.955,6.8,8.035,4.5,2,0.353 +5,C LM,SHRIMPLIN,3010.5,50.23,0.937,7.1,8.86,4.6,2,0.343 +5,C LM,SHRIMPLIN,3011,63.43,0.915,7.1,9.95,5,2,0.333 +5,C LM,SHRIMPLIN,3011.5,61.93,0.889,8,11.39,5.2,2,0.324 +5,C LM,SHRIMPLIN,3012,68.62,0.863,8.1,12.28,5.1,2,0.314 +5,C LM,SHRIMPLIN,3012.5,74.18,0.836,8.2,12.17,4.8,2,0.304 +4,C LM,SHRIMPLIN,3013,73.86,0.816,8,12.37,4.7,2,0.294 +4,C LM,SHRIMPLIN,3013.5,71.51,0.798,8.9,12.94,4.6,2,0.284 +4,C LM,SHRIMPLIN,3014,79.77,0.782,10,14.235,4.4,2,0.275 +4,C LM,SHRIMPLIN,3014.5,80.9,0.776,11,14.86,4.3,2,0.265 +4,C LM,SHRIMPLIN,3015,96.85,0.775,9.4,13.74,4.3,2,0.255 +4,C LM,SHRIMPLIN,3015.5,92.76,0.771,7.8,11.48,4.4,2,0.245 +6,C LM,SHRIMPLIN,3016,51.5,0.762,6.6,8.025,4.1,2,0.225 +6,C LM,SHRIMPLIN,3016.5,47.77,0.756,7.4,9.425,4.1,2,0.216 +6,C LM,SHRIMPLIN,3017,54.15,0.751,6.4,11.7,4.9,2,0.206 +6,C LM,SHRIMPLIN,3017.5,50.45,0.74,4.3,13.34,5,2,0.196 +9,C LM,SHRIMPLIN,3018,32.78,0.723,1.2,13.11,5.1,2,0.186 +9,C LM,SHRIMPLIN,3018.5,23.5,0.711,0.3,12.3,5.2,2,0.176 +9,C LM,SHRIMPLIN,3019,28.33,0.706,0.5,11.79,5.3,2,0.167 +9,C LM,SHRIMPLIN,3019.5,31.12,0.704,1.7,11.325,5.3,2,0.157 +9,C LM,SHRIMPLIN,3020,28.68,0.709,1.9,11.165,5.4,2,0.147 +9,C LM,SHRIMPLIN,3020.5,31.67,0.721,1.6,10.535,5.4,2,0.137 +9,C LM,SHRIMPLIN,3021,39.75,0.733,0.9,10.04,5.5,2,0.127 +9,C LM,SHRIMPLIN,3021.5,36.56,0.747,2,8.545,5.3,2,0.118 +9,C LM,SHRIMPLIN,3022,36.56,0.747,2,8.545,5.3,2,0.118 +9,C LM,SHRIMPLIN,3022.5,37.21,0.764,2.7,7.73,5.6,2,0.108 +9,C LM,SHRIMPLIN,3023,35.8,0.777,2.5,8.195,5.7,2,0.098 +9,C LM,SHRIMPLIN,3023.5,36.56,0.784,1.4,10.29,5.8,2,0.088 +8,C LM,SHRIMPLIN,3024,27.96,0.791,1.6,12.12,5.5,2,0.078 +8,C LM,SHRIMPLIN,3024.5,26.3,0.797,2.1,12.385,5.4,2,0.069 +8,C LM,SHRIMPLIN,3025,19.97,0.803,1.9,11.12,5.5,2,0.059 +8,C LM,SHRIMPLIN,3025.5,17.92,0.808,1.5,9.73,5.4,2,0.049 +8,C LM,SHRIMPLIN,3026,17.92,0.808,1.5,9.73,5.4,2,0.049 +8,C LM,SHRIMPLIN,3026.5,16.51,0.814,2,8.275,5.5,2,0.039 +8,C LM,SHRIMPLIN,3027,21.94,0.82,3.3,7.68,5.4,2,0.029 +8,C LM,SHRIMPLIN,3027.5,32.54,0.821,2.5,7.445,5.8,2,0.02 +8,C LM,SHRIMPLIN,3028,47.7,0.814,1.6,7.34,5.8,2,0.01 +3,A1 SH,ALEXANDER D,2887.5,88.71,0.612,6.7,10.605,,1,1 +3,A1 SH,ALEXANDER D,2888,92.71,0.583,11,12.515,,1,0.974 +3,A1 SH,ALEXANDER D,2888.5,94.54,0.579,12,13.41,,1,0.949 +3,A1 SH,ALEXANDER D,2889,95.31,0.579,11.5,13.75,,1,0.923 +3,A1 SH,ALEXANDER D,2889.5,93.79,0.572,10.3,13.405,,1,0.897 +3,A1 SH,ALEXANDER D,2890,86,0.547,9.7,12.92,,1,0.872 +3,A1 SH,ALEXANDER D,2890.5,83.66,0.531,9.9,12.75,,1,0.846 +2,A1 SH,ALEXANDER D,2891,84.96,0.516,10,12.71,,1,0.821 +2,A1 SH,ALEXANDER D,2891.5,88.93,0.515,9.4,13.51,,1,0.795 +3,A1 SH,ALEXANDER D,2892,91.35,0.521,7.4,15.33,,1,0.769 +3,A1 SH,ALEXANDER D,2892.5,92.43,0.521,7.4,16.65,,1,0.744 +3,A1 SH,ALEXANDER D,2893,92.39,0.526,7.6,16.89,,1,0.718 +2,A1 SH,ALEXANDER D,2893.5,91.94,0.526,4.6,16.31,,1,0.692 +2,A1 SH,ALEXANDER D,2894,88.21,0.525,2.9,15.33,,1,0.667 +2,A1 SH,ALEXANDER D,2894.5,83.2,0.524,1.9,14.215,,1,0.641 +2,A1 SH,ALEXANDER D,2895,78.23,0.513,3,13.495,,1,0.615 +2,A1 SH,ALEXANDER D,2895.5,74.22,0.5,5,11.365,,1,0.59 +2,A1 SH,ALEXANDER D,2896,72.36,0.48,6.6,10.045,,1,0.564 +2,A1 SH,ALEXANDER D,2896.5,72.84,0.465,7.2,9.62,,1,0.538 +2,A1 SH,ALEXANDER D,2897,74.19,0.455,8,9.64,,1,0.513 +2,A1 SH,ALEXANDER D,2897.5,76.62,0.449,8.8,10.5,,1,0.487 +2,A1 SH,ALEXANDER D,2898,81.29,0.449,9.2,12.785,,1,0.462 +2,A1 SH,ALEXANDER D,2898.5,85.5,0.461,9.9,13.55,,1,0.436 +2,A1 SH,ALEXANDER D,2899,88.29,0.476,10.3,13.985,,1,0.41 +2,A1 SH,ALEXANDER D,2899.5,91.3,0.484,9.7,13.965,,1,0.385 +3,A1 SH,ALEXANDER D,2900,82,0.49,8.3,13.335,,1,0.359 +3,A1 SH,ALEXANDER D,2900.5,71.62,0.49,7.5,12.88,,1,0.333 +2,A1 SH,ALEXANDER D,2901,67.4,0.483,7.2,12.685,,1,0.308 +3,A1 SH,ALEXANDER D,2901.5,65.4,0.476,7.5,12.325,,1,0.282 +9,A1 SH,ALEXANDER D,2902,64.21,0.471,10.2,10.935,,2,0.256 +9,A1 SH,ALEXANDER D,2902.5,63.82,0.467,11.2,10.655,,2,0.231 +9,A1 SH,ALEXANDER D,2903,64.74,0.458,15.1,12.705,,2,0.205 +3,A1 SH,ALEXANDER D,2904,81.89,0.42,16.3,19.14,,1,0.154 +3,A1 SH,ALEXANDER D,2904.5,83.53,0.371,14.9,19.16,,1,0.128 +2,A1 SH,ALEXANDER D,2905,83.06,0.316,14.8,19.5,,1,0.103 +2,A1 SH,ALEXANDER D,2905.5,81.58,0.279,15.7,19.945,,1,0.077 +3,A1 SH,ALEXANDER D,2906,77.83,0.272,17.3,19.285,,1,0.051 +3,A1 SH,ALEXANDER D,2906.5,65.11,0.279,15.2,17.42,,1,0.026 +9,A1 LM,ALEXANDER D,2907,32.58,0.29,10.3,14.52,,2,1 +9,A1 LM,ALEXANDER D,2907.5,25.14,0.294,7.1,12.48,,2,0.985 +7,A1 LM,ALEXANDER D,2908,26.51,0.29,7.1,10.91,,2,0.969 +7,A1 LM,ALEXANDER D,2908.5,29.78,0.265,8.1,9.05,,2,0.954 +6,A1 LM,ALEXANDER D,2909,33.06,0.248,8.6,8.275,,2,0.938 +6,A1 LM,ALEXANDER D,2910,37.78,0.22,9.2,8.05,,2,0.908 +6,A1 LM,ALEXANDER D,2910.5,40.84,0.212,14.8,10.76,,2,0.892 +7,A1 LM,ALEXANDER D,2911,44.08,0.207,16,11.275,,2,0.877 +7,A1 LM,ALEXANDER D,2911.5,48.24,0.21,9.8,14.97,,2,0.862 +7,A1 LM,ALEXANDER D,2912,51.21,0.228,8.1,16.025,,2,0.846 +7,A1 LM,ALEXANDER D,2912.5,55.57,0.253,7.9,15.985,,2,0.831 +4,A1 LM,ALEXANDER D,2913,64.21,0.299,7.4,15.785,,2,0.815 +4,A1 LM,ALEXANDER D,2913.5,78.65,0.398,8.2,13.805,,2,0.8 +4,A1 LM,ALEXANDER D,2914,97.66,0.52,9.7,12.34,,2,0.785 +4,A1 LM,ALEXANDER D,2914.5,101.57,0.636,10.1,12.02,,2,0.769 +4,A1 LM,ALEXANDER D,2915,102.02,0.679,9.4,11.33,,2,0.754 +4,A1 LM,ALEXANDER D,2915.5,100.87,0.658,7.6,10.135,,2,0.738 +8,A1 LM,ALEXANDER D,2916,88.36,0.646,7,9.58,,2,0.723 +6,A1 LM,ALEXANDER D,2916.5,73.88,0.635,5.2,10.145,,2,0.708 +6,A1 LM,ALEXANDER D,2917,62.49,0.635,4.2,10.515,,2,0.692 +5,A1 LM,ALEXANDER D,2917.5,61.08,0.641,4.5,10.465,,2,0.677 +5,A1 LM,ALEXANDER D,2918,64.32,0.66,6.7,10.575,,2,0.662 +6,A1 LM,ALEXANDER D,2918.5,66.04,0.671,9.1,11.38,,2,0.646 +6,A1 LM,ALEXANDER D,2919,66.61,0.691,10.8,12.17,,2,0.631 +6,A1 LM,ALEXANDER D,2919.5,66.14,0.713,11.6,12.41,,2,0.615 +8,A1 LM,ALEXANDER D,2920,68.24,0.735,10,11.64,,2,0.6 +8,A1 LM,ALEXANDER D,2920.5,70.81,0.752,5.9,10.36,,2,0.585 +8,A1 LM,ALEXANDER D,2921,72.59,0.757,3.7,10.405,,2,0.569 +8,A1 LM,ALEXANDER D,2921.5,77.22,0.769,2.5,10.465,,2,0.554 +8,A1 LM,ALEXANDER D,2922,101.82,0.762,1.8,10.6,,2,0.538 +8,A1 LM,ALEXANDER D,2922.5,115.43,0.756,1,10.755,,2,0.523 +6,A1 LM,ALEXANDER D,2923,119.82,0.725,0.5,10.775,,2,0.508 +6,A1 LM,ALEXANDER D,2923.5,120.82,0.675,0.6,10.315,,2,0.492 +5,A1 LM,ALEXANDER D,2924,118.48,0.619,1.8,9.51,,2,0.477 +5,A1 LM,ALEXANDER D,2924.5,89.64,0.571,2.4,9.555,,2,0.462 +6,A1 LM,ALEXANDER D,2925,60.79,0.53,3.3,9.86,,2,0.446 +6,A1 LM,ALEXANDER D,2925.5,33.46,0.501,4.3,10.16,,2,0.431 +5,A1 LM,ALEXANDER D,2926,27.41,0.483,5,10.62,,2,0.415 +6,A1 LM,ALEXANDER D,2926.5,24.14,0.471,5.3,11.3,,2,0.4 +6,A1 LM,ALEXANDER D,2927,24.6,0.458,5.8,12.115,,2,0.385 +6,A1 LM,ALEXANDER D,2927.5,24.58,0.455,4,13.465,,2,0.369 +6,A1 LM,ALEXANDER D,2928,23.59,0.47,2.8,14.2,,2,0.354 +6,A1 LM,ALEXANDER D,2928.5,23.16,0.513,1.8,14.145,,2,0.338 +6,A1 LM,ALEXANDER D,2929,23.61,0.555,1,13.805,,2,0.323 +6,A1 LM,ALEXANDER D,2929.5,24.99,0.604,0.3,13.48,,2,0.308 +6,A1 LM,ALEXANDER D,2930,26.45,0.635,0.9,12.775,,2,0.292 +8,A1 LM,ALEXANDER D,2930.5,28.39,0.661,1.7,12.095,,2,0.277 +6,A1 LM,ALEXANDER D,2931,31.6,0.679,2.1,11.665,,2,0.262 +6,A1 LM,ALEXANDER D,2931.5,35.71,0.696,2.3,11.39,,2,0.246 +5,A1 LM,ALEXANDER D,2932,41.34,0.702,2.8,11.395,,2,0.231 +6,A1 LM,ALEXANDER D,2932.5,46.73,0.708,4.4,11.895,,2,0.215 +6,A1 LM,ALEXANDER D,2933,54.15,0.72,5.6,11.94,,2,0.2 +6,A1 LM,ALEXANDER D,2933.5,60.63,0.739,9.2,10.59,,2,0.185 +4,A1 LM,ALEXANDER D,2934,65.2,0.774,11.3,11.15,,2,0.169 +4,A1 LM,ALEXANDER D,2934.5,72.19,0.803,12.1,11.505,,2,0.154 +4,A1 LM,ALEXANDER D,2935,78.39,0.825,11.7,11.98,,2,0.138 +4,A1 LM,ALEXANDER D,2935.5,82.48,0.836,9.7,12.595,,2,0.123 +4,A1 LM,ALEXANDER D,2936,83.8,0.811,7.6,13.18,,2,0.108 +4,A1 LM,ALEXANDER D,2936.5,84.86,0.78,6.8,13.15,,2,0.092 +6,A1 LM,ALEXANDER D,2937,84.28,0.755,7.4,11.64,,2,0.077 +6,A1 LM,ALEXANDER D,2937.5,78.32,0.739,4.3,9.2,,2,0.062 +6,A1 LM,ALEXANDER D,2938,70.15,0.727,4.1,8.565,,2,0.046 +8,A1 LM,ALEXANDER D,2938.5,66.53,0.721,3.4,8.37,,2,0.031 +8,A1 LM,ALEXANDER D,2939,69.31,0.717,6.4,10.21,,2,0.015 +3,B1 SH,ALEXANDER D,2939.5,78.58,0.717,8.4,12.53,,1,1 +3,B1 SH,ALEXANDER D,2940,81.81,0.717,8.6,15.21,,1,0.969 +3,B1 SH,ALEXANDER D,2940.5,82.02,0.716,4.5,15.43,,1,0.938 +2,B1 SH,ALEXANDER D,2941,75.3,0.722,4.9,13.615,,1,0.906 +2,B1 SH,ALEXANDER D,2941.5,66.45,0.722,6.8,12.37,,1,0.875 +2,B1 SH,ALEXANDER D,2942,63.91,0.722,7.4,11.865,,1,0.844 +2,B1 SH,ALEXANDER D,2942.5,64.11,0.721,7.9,11.92,,1,0.813 +2,B1 SH,ALEXANDER D,2943,66.41,0.721,9,12.185,,1,0.781 +3,B1 SH,ALEXANDER D,2943.5,72.43,0.721,9.9,12.38,,1,0.75 +3,B1 SH,ALEXANDER D,2944,75.89,0.714,9.6,12.83,,1,0.719 +3,B1 SH,ALEXANDER D,2944.5,79.81,0.708,8.2,13.335,,1,0.688 +3,B1 SH,ALEXANDER D,2945,81.22,0.702,7.2,12.765,,1,0.656 +3,B1 SH,ALEXANDER D,2945.5,80.73,0.689,7.2,12.065,,1,0.625 +3,B1 SH,ALEXANDER D,2946,80.21,0.679,7.3,11.605,,1,0.594 +2,B1 SH,ALEXANDER D,2946.5,79.31,0.667,7.5,11.49,,1,0.563 +2,B1 SH,ALEXANDER D,2947,77.91,0.655,7.2,11.755,,1,0.531 +2,B1 SH,ALEXANDER D,2947.5,75.57,0.641,6.6,11.25,,1,0.5 +2,B1 SH,ALEXANDER D,2948,72.63,0.625,5.8,10.46,,1,0.469 +2,B1 SH,ALEXANDER D,2948.5,69.14,0.607,5.6,10.285,,1,0.438 +2,B1 SH,ALEXANDER D,2949,65.21,0.589,4.7,10.23,,1,0.406 +2,B1 SH,ALEXANDER D,2949.5,60.86,0.571,4,10.185,,1,0.375 +2,B1 SH,ALEXANDER D,2950,57.85,0.551,4.7,9.525,,1,0.344 +2,B1 SH,ALEXANDER D,2950.5,59.87,0.531,5,9.17,,1,0.313 +2,B1 SH,ALEXANDER D,2951,63.55,0.512,7.2,9.93,,1,0.281 +2,B1 SH,ALEXANDER D,2951.5,69.27,0.496,8.1,11.3,,1,0.25 +2,B1 SH,ALEXANDER D,2952,79.55,0.473,8.2,13.005,,1,0.219 +2,B1 SH,ALEXANDER D,2952.5,84.75,0.447,10.1,13.945,,1,0.188 +2,B1 SH,ALEXANDER D,2953,86.1,0.438,11.6,14.59,,1,0.156 +2,B1 SH,ALEXANDER D,2953.5,87.01,0.464,12.1,15.205,,1,0.125 +3,B1 SH,ALEXANDER D,2954,87.46,0.614,6.2,18.555,,1,0.094 +3,B1 SH,ALEXANDER D,2954.5,85.24,0.667,6.9,19.51,,1,0.063 +3,B1 SH,ALEXANDER D,2955,78.97,0.721,8.5,20.405,,1,0.031 +2,B1 SH,ALEXANDER D,2955.5,78.97,0.721,8.5,20.405,,1,0.031 +8,B1 LM,ALEXANDER D,2956,67.92,0.795,9.2,19.835,,2,1 +8,B1 LM,ALEXANDER D,2956.5,50.23,0.878,5.1,11.71,,2,0.952 +8,B1 LM,ALEXANDER D,2957,28.31,0.957,5.4,8.42,,2,0.905 +8,B1 LM,ALEXANDER D,2957.5,23.76,0.983,4.4,7.42,,2,0.857 +8,B1 LM,ALEXANDER D,2958,21.89,1.004,4.3,7.245,,2,0.81 +8,B1 LM,ALEXANDER D,2958.5,20.94,1.016,3.3,7.44,,2,0.762 +8,B1 LM,ALEXANDER D,2959,20.93,1.015,3,7.31,,2,0.714 +8,B1 LM,ALEXANDER D,2959.5,22.27,0.922,2.8,7.005,,2,0.667 +8,B1 LM,ALEXANDER D,2960,26.48,0.885,2.7,6.79,,2,0.619 +8,B1 LM,ALEXANDER D,2960.5,27.04,0.866,3.3,6.84,,2,0.571 +6,B1 LM,ALEXANDER D,2961,29.7,0.848,4.4,7.2,,2,0.524 +5,B1 LM,ALEXANDER D,2961.5,36.65,0.834,5.8,7.665,,2,0.476 +5,B1 LM,ALEXANDER D,2962,38.96,0.894,6.6,7.855,,2,0.429 +5,B1 LM,ALEXANDER D,2962.5,38.94,0.947,6.9,7.745,,2,0.381 +6,B1 LM,ALEXANDER D,2963,38.93,0.97,6,6.96,,2,0.333 +6,B1 LM,ALEXANDER D,2963.5,39.54,0.914,4.9,5.64,,2,0.286 +8,B1 LM,ALEXANDER D,2964,40.03,0.868,4.3,4.76,,2,0.238 +8,B1 LM,ALEXANDER D,2964.5,41.75,0.827,4.2,4.53,,2,0.19 +8,B1 LM,ALEXANDER D,2965,44.91,0.785,4.2,4.57,,2,0.143 +8,B1 LM,ALEXANDER D,2965.5,58.36,0.741,4.3,4.625,,2,0.095 +4,B1 LM,ALEXANDER D,2966,71.82,0.716,4.5,5.065,,2,0.048 +3,B2 SH,ALEXANDER D,2966.5,81.13,0.697,7,7.925,,1,1 +3,B2 SH,ALEXANDER D,2967,88.32,0.68,9.6,11.79,,1,0.957 +3,B2 SH,ALEXANDER D,2967.5,90.49,0.663,7.7,13.675,,1,0.913 +3,B2 SH,ALEXANDER D,2968,90.26,0.638,7,14.01,,1,0.87 +3,B2 SH,ALEXANDER D,2968.5,89.38,0.61,6.9,13.45,,1,0.826 +3,B2 SH,ALEXANDER D,2969,88.92,0.561,8.6,12.73,,1,0.783 +3,B2 SH,ALEXANDER D,2969.5,89.37,0.5,9.8,12.52,,1,0.739 +3,B2 SH,ALEXANDER D,2970,92.6,0.418,9.4,13.625,,1,0.696 +3,B2 SH,ALEXANDER D,2970.5,101.17,0.384,10.2,14.655,,1,0.652 +3,B2 SH,ALEXANDER D,2971,110.95,0.352,12.7,16.07,,1,0.609 +3,B2 SH,ALEXANDER D,2971.5,112.65,0.344,16.5,18.115,,1,0.565 +3,B2 SH,ALEXANDER D,2972,113.04,0.378,15.5,19.145,,1,0.522 +3,B2 SH,ALEXANDER D,2972.5,112.5,0.413,8.1,22.875,,1,0.478 +3,B2 SH,ALEXANDER D,2973,109.7,0.449,6.5,22.745,,1,0.435 +3,B2 SH,ALEXANDER D,2973.5,105.04,0.473,6.4,22.595,,1,0.391 +3,B2 SH,ALEXANDER D,2974,98.57,0.497,6.3,22.305,,1,0.348 +3,B2 SH,ALEXANDER D,2974.5,88.41,0.509,5.3,18.38,,1,0.304 +2,B2 SH,ALEXANDER D,2975,81.26,0.519,4,15.185,,1,0.261 +2,B2 SH,ALEXANDER D,2975.5,77.18,0.521,2.7,14.155,,1,0.217 +2,B2 SH,ALEXANDER D,2976,73.22,0.524,0.1,13.19,,1,0.174 +2,B2 SH,ALEXANDER D,2976.5,69.67,0.56,-4.4,15.205,,1,0.13 +3,B2 SH,ALEXANDER D,2977,64.08,0.618,-4.7,20.42,,1,0.087 +3,B2 SH,ALEXANDER D,2977.5,58.49,0.679,-1.4,20.12,,1,0.043 +5,B2 LM,ALEXANDER D,2978,37.39,0.728,1.4,11.565,,2,1 +5,B2 LM,ALEXANDER D,2978.5,15.38,0.759,1.2,11.245,,2,0.95 +8,B2 LM,ALEXANDER D,2979,13.87,0.769,1.7,10.85,,2,0.9 +8,B2 LM,ALEXANDER D,2979.5,13.94,0.771,3.3,9.9,,2,0.85 +8,B2 LM,ALEXANDER D,2980,15.34,0.771,3.2,9.74,,2,0.8 +8,B2 LM,ALEXANDER D,2980.5,18.94,0.769,2.8,9.505,,2,0.75 +8,B2 LM,ALEXANDER D,2981,21.24,0.764,1.4,9.565,,2,0.7 +8,B2 LM,ALEXANDER D,2981.5,22.62,0.764,0.6,9.815,,2,0.65 +8,B2 LM,ALEXANDER D,2982,21.9,0.77,0.6,9.76,,2,0.6 +8,B2 LM,ALEXANDER D,2982.5,21.67,0.806,0.6,9.64,,2,0.55 +8,B2 LM,ALEXANDER D,2983,21.78,0.857,0.3,9.21,,2,0.5 +8,B2 LM,ALEXANDER D,2983.5,22.17,0.885,0.7,8.565,,2,0.45 +8,B2 LM,ALEXANDER D,2984,22.56,0.906,0.8,7.955,,2,0.4 +8,B2 LM,ALEXANDER D,2984.5,23.93,0.915,1,7.5,,2,0.35 +8,B2 LM,ALEXANDER D,2985,27.17,0.91,0.9,7.26,,2,0.3 +8,B2 LM,ALEXANDER D,2985.5,31.22,0.851,0.5,7.01,,2,0.25 +8,B2 LM,ALEXANDER D,2986,37.79,0.785,-0.1,7.075,,2,0.2 +6,B2 LM,ALEXANDER D,2986.5,51.83,0.672,-0.2,7.25,,2,0.15 +6,B2 LM,ALEXANDER D,2987,69.13,0.534,4.5,9.81,,2,0.1 +8,B2 LM,ALEXANDER D,2987.5,87.71,0.391,9.1,12.365,,2,0.05 +3,B3 SH,ALEXANDER D,2988,94.42,0.33,8.8,18.165,,1,1 +3,B3 SH,ALEXANDER D,2988.5,100.7,0.31,5.9,23.165,,1,0.963 +3,B3 SH,ALEXANDER D,2989,103.11,0.292,7.3,22.76,,1,0.926 +3,B3 SH,ALEXANDER D,2989.5,104.14,0.312,6.4,21.565,,1,0.889 +3,B3 SH,ALEXANDER D,2990,102.97,0.324,5,20.26,,1,0.852 +3,B3 SH,ALEXANDER D,2990.5,99,0.346,4.1,19.565,,1,0.815 +3,B3 SH,ALEXANDER D,2991,96.66,0.369,3.5,19.015,,1,0.778 +3,B3 SH,ALEXANDER D,2991.5,94.79,0.393,9.2,15.415,,1,0.741 +2,B3 SH,ALEXANDER D,2992,82.52,0.428,7.9,15.64,,1,0.704 +2,B3 SH,ALEXANDER D,2992.5,77.61,0.456,2.6,13.58,,1,0.667 +2,B3 SH,ALEXANDER D,2993,75.55,0.494,2.7,12,,1,0.63 +2,B3 SH,ALEXANDER D,2993.5,74.77,0.537,3.5,11.51,,1,0.593 +2,B3 SH,ALEXANDER D,2994,76.3,0.569,5.2,12.03,,1,0.556 +2,B3 SH,ALEXANDER D,2994.5,79.38,0.606,4.8,13.775,,1,0.519 +2,B3 SH,ALEXANDER D,2995,80.76,0.638,4.4,14.53,,1,0.481 +2,B3 SH,ALEXANDER D,2995.5,80.75,0.655,4.2,13.82,,1,0.444 +2,B3 SH,ALEXANDER D,2996,78.97,0.67,4,11.185,,1,0.407 +2,B3 SH,ALEXANDER D,2996.5,74.62,0.661,4.2,10.615,,1,0.37 +2,B3 SH,ALEXANDER D,2997,72.21,0.643,3.7,10.69,,1,0.333 +2,B3 SH,ALEXANDER D,2997.5,72.65,0.624,2.6,11.085,,1,0.296 +2,B3 SH,ALEXANDER D,2998,78.02,0.604,2.9,11.185,,1,0.259 +2,B3 SH,ALEXANDER D,2998.5,83.45,0.589,5.3,11.95,,1,0.222 +2,B3 SH,ALEXANDER D,2999,84.37,0.571,7.1,12.69,,1,0.185 +2,B3 SH,ALEXANDER D,2999.5,76.3,0.563,8.1,12.975,,1,0.148 +3,B3 SH,ALEXANDER D,3000,67.17,0.616,9,13.23,,1,0.111 +3,B3 SH,ALEXANDER D,3000.5,58.04,0.69,9.3,12.135,,1,0.074 +3,B3 SH,ALEXANDER D,3001,47.67,0.749,8.3,9.755,,1,0.037 +3,B3 SH,ALEXANDER D,3001.5,36.2,0.787,5,8.545,,1,0 +8,B3 LM,ALEXANDER D,3002,36.2,0.787,5,8.545,,2,1 +8,B3 LM,ALEXANDER D,3002.5,33.43,0.803,2.3,8.365,,2,0.667 +8,B3 LM,ALEXANDER D,3003,34.13,0.797,2.2,8.58,,2,0.333 +2,B4 SH,ALEXANDER D,3003.5,38.89,0.784,5.1,8.17,,1,1 +2,B4 SH,ALEXANDER D,3004,50.61,0.766,5.6,7.995,,1,0.958 +2,B4 SH,ALEXANDER D,3004.5,59.35,0.747,5.1,8.205,,1,0.917 +2,B4 SH,ALEXANDER D,3005,64.74,0.728,4.5,8.505,,1,0.875 +2,B4 SH,ALEXANDER D,3005.5,71.24,0.707,4,8.925,,1,0.833 +2,B4 SH,ALEXANDER D,3006,72.62,0.685,4.3,9.675,,1,0.792 +2,B4 SH,ALEXANDER D,3006.5,77.63,0.661,4.8,10.675,,1,0.75 +2,B4 SH,ALEXANDER D,3007,84.78,0.617,4.8,11.425,,1,0.708 +2,B4 SH,ALEXANDER D,3007.5,88.14,0.589,5,11.935,,1,0.667 +2,B4 SH,ALEXANDER D,3008,89.78,0.554,5.3,12.21,,1,0.625 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D,3017,40.33,0.627,1.3,11.47,,2,0.5 +8,B4 LM,ALEXANDER D,3017.5,54.83,0.627,3.5,11.895,,2,0.333 +8,B4 LM,ALEXANDER D,3018,69.32,0.617,12.1,16.105,,2,0.167 +3,B5 SH,ALEXANDER D,3018.5,83.21,0.594,14.4,19.345,,1,1 +3,B5 SH,ALEXANDER D,3019,91.02,0.494,13.3,21.48,,1,0.875 +3,B5 SH,ALEXANDER D,3019.5,95.68,0.378,9.7,22.44,,1,0.75 +3,B5 SH,ALEXANDER D,3020,98.58,0.356,9.4,23.4,,1,0.625 +3,B5 SH,ALEXANDER D,3020.5,97.21,0.33,11.6,24.03,,1,0.5 +3,B5 SH,ALEXANDER D,3021,94.91,0.318,12.9,23.59,,1,0.375 +3,B5 SH,ALEXANDER D,3021.5,90.57,0.312,12.3,23.56,,1,0.25 +3,B5 SH,ALEXANDER D,3022,81.18,0.324,11.1,23.74,,1,0.125 +8,B5 LM,ALEXANDER D,3022.5,43.14,0.34,0.6,16.815,,2,1 +8,B5 LM,ALEXANDER D,3023,33.38,0.36,4.2,15.15,,2,0.967 +8,B5 LM,ALEXANDER D,3023.5,29.88,0.38,6,15.305,,2,0.933 +8,B5 LM,ALEXANDER D,3024,28.03,0.354,6.6,15.51,,2,0.9 +8,B5 LM,ALEXANDER D,3024.5,27.17,0.336,6.5,15.77,,2,0.867 +8,B5 LM,ALEXANDER D,3025,26.22,0.305,4.1,17.315,,2,0.833 +8,B5 LM,ALEXANDER D,3025.5,24.5,0.243,3,18.23,,2,0.8 +8,B5 LM,ALEXANDER D,3026,22.65,0.179,2,18.72,,2,0.767 +8,B5 LM,ALEXANDER D,3026.5,19.4,0.158,1.1,18.76,,2,0.733 +8,B5 LM,ALEXANDER D,3027,17.21,0.155,-0.5,18.505,,2,0.7 +8,B5 LM,ALEXANDER D,3027.5,14.82,0.158,-1.4,17.86,,2,0.667 +8,B5 LM,ALEXANDER D,3028,13.34,0.17,-0.2,16.15,,2,0.633 +8,B5 LM,ALEXANDER D,3028.5,14.37,0.188,1.1,14.38,,2,0.6 +8,B5 LM,ALEXANDER D,3029,16.58,0.236,1.7,12.975,,2,0.567 +8,B5 LM,ALEXANDER D,3029.5,19.36,0.342,1.7,11.93,,2,0.533 +6,B5 LM,ALEXANDER D,3030,22.13,0.417,2.2,11.195,,2,0.5 +6,B5 LM,ALEXANDER D,3030.5,24.46,0.441,3.7,10.44,,2,0.467 +6,B5 LM,ALEXANDER D,3031,27.42,0.452,4.8,10.075,,2,0.433 +6,B5 LM,ALEXANDER D,3031.5,31.51,0.452,6.1,10.06,,2,0.4 +7,B5 LM,ALEXANDER D,3032,36.65,0.452,6.9,10.375,,2,0.367 +7,B5 LM,ALEXANDER D,3032.5,42.07,0.452,7.3,10.785,,2,0.333 +8,B5 LM,ALEXANDER D,3033,44.85,0.464,6.9,11.1,,2,0.3 +8,B5 LM,ALEXANDER D,3033.5,43.82,0.487,3.2,12.825,,2,0.267 +8,B5 LM,ALEXANDER D,3034,42.31,0.504,3.2,12.595,,2,0.233 +8,B5 LM,ALEXANDER D,3034.5,45.53,0.52,3.7,11.585,,2,0.2 +6,B5 LM,ALEXANDER D,3035,53.57,0.524,3.7,10.93,,2,0.167 +5,B5 LM,ALEXANDER D,3035.5,58.75,0.519,3.8,10.71,,2,0.133 +6,B5 LM,ALEXANDER D,3036,62.45,0.5,3.7,10.68,,2,0.1 +8,B5 LM,ALEXANDER D,3036.5,64.3,0.476,6.7,12.145,,2,0.067 +8,B5 LM,ALEXANDER D,3037,83.36,0.43,10.6,14.415,,2,0.033 +3,C SH,ALEXANDER D,3037.5,99.93,0.377,13,19.93,,1,1 +3,C SH,ALEXANDER D,3038,107.9,0.35,10.7,23.79,,1,0.981 +3,C SH,ALEXANDER D,3038.5,109.79,0.338,10.3,24.205,,1,0.962 +3,C SH,ALEXANDER D,3039,107.46,0.338,8.9,23.415,,1,0.943 +3,C SH,ALEXANDER D,3039.5,104.2,0.364,8.8,21.355,,1,0.925 +3,C SH,ALEXANDER D,3040,100.89,0.403,8.5,19.2,,1,0.906 +3,C SH,ALEXANDER D,3040.5,96.81,0.436,9.1,18.54,,1,0.887 +3,C SH,ALEXANDER D,3041,93.52,0.45,10.1,18.555,,1,0.868 +3,C SH,ALEXANDER D,3041.5,91.17,0.464,9.5,19.16,,1,0.849 +3,C SH,ALEXANDER D,3042,91.16,0.48,7,20.555,,1,0.83 +3,C SH,ALEXANDER D,3042.5,91.16,0.498,7,20.82,,1,0.811 +3,C SH,ALEXANDER D,3043,90.22,0.511,9.2,20.195,,1,0.792 +3,C SH,ALEXANDER D,3043.5,88.76,0.513,11.7,19.065,,1,0.774 +3,C SH,ALEXANDER D,3044,87.23,0.525,10.5,18.955,,1,0.755 +3,C SH,ALEXANDER D,3044.5,86.48,0.528,7.5,19.295,,1,0.736 +2,C SH,ALEXANDER D,3045,86.01,0.528,4.6,19.375,,1,0.717 +2,C SH,ALEXANDER D,3045.5,86.01,0.522,5.6,17.82,,1,0.698 +2,C SH,ALEXANDER D,3046,86,0.516,8.9,15.975,,1,0.679 +2,C SH,ALEXANDER D,3046.5,87.85,0.516,12,14.545,,1,0.66 +2,C SH,ALEXANDER D,3047,90.4,0.522,13,14.125,,1,0.642 +2,C SH,ALEXANDER D,3047.5,92.34,0.56,13.1,13.93,,1,0.623 +2,C SH,ALEXANDER D,3048,93.96,0.592,12.6,13.6,,1,0.604 +2,C SH,ALEXANDER D,3048.5,94.35,0.607,11.9,13.58,,1,0.585 +2,C SH,ALEXANDER D,3049,93.85,0.607,11,13.95,,1,0.566 +2,C SH,ALEXANDER D,3049.5,92.45,0.607,9.3,14.73,,1,0.547 +2,C SH,ALEXANDER D,3050,91.43,0.613,10,14.335,,1,0.528 +2,C SH,ALEXANDER D,3050.5,90.38,0.603,10.8,13.985,,1,0.509 +2,C SH,ALEXANDER 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SH,SHANKLE,2895.5,83.41,0.367,5.6,14.845,3,1,0.159 +3,B3 SH,SHANKLE,2896,85.63,0.386,7.6,14.515,2.6,1,0.136 +3,B3 SH,SHANKLE,2896.5,88.6,0.412,5.2,18.02,2.5,1,0.114 +3,B3 SH,SHANKLE,2897,81.3,0.453,-5.5,25.095,2.2,1,0.091 +3,B3 SH,SHANKLE,2897.5,81.46,0.505,-12.1,35.24,2,1,0.068 +2,B4 SH,SHANKLE,2899.5,67.06,0.607,-13.2,25.315,3.2,1,0.979 +2,B4 SH,SHANKLE,2900,63.21,0.607,-0.6,16.415,3.1,1,0.958 +2,B4 SH,SHANKLE,2900.5,62.1,0.607,0.7,15.25,2.9,1,0.938 +1,B4 SH,SHANKLE,2901,59.12,0.599,-1.9,15.465,2.8,1,0.917 +1,B4 SH,SHANKLE,2901.5,53.43,0.58,1.5,12.685,2.9,1,0.896 +1,B4 SH,SHANKLE,2902,55.43,0.556,3.9,11.32,3,1,0.875 +1,B4 SH,SHANKLE,2902.5,50.01,0.528,2.1,12.39,3,1,0.854 +1,B4 SH,SHANKLE,2903,54.96,0.493,1.2,12.93,2.9,1,0.833 +1,B4 SH,SHANKLE,2903.5,56.29,0.456,0.7,13.1,2.8,1,0.813 +1,B4 SH,SHANKLE,2904,57.56,0.425,1.3,13.6,2.9,1,0.792 +1,B4 SH,SHANKLE,2904.5,59.71,0.396,0.8,13.875,2.9,1,0.771 +1,B4 SH,SHANKLE,2905,59.88,0.371,1.2,14.2,2.9,1,0.75 +1,B4 SH,SHANKLE,2905.5,62.44,0.352,1.5,14.5,2.7,1,0.729 +1,B4 SH,SHANKLE,2906,65.13,0.342,1.4,15.285,2.7,1,0.708 +1,B4 SH,SHANKLE,2906.5,60.4,0.338,1.2,15.91,2.7,1,0.688 +1,B4 SH,SHANKLE,2907,63.4,0.346,0.1,15.585,2.8,1,0.667 +1,B4 SH,SHANKLE,2907.5,65.4,0.358,1.4,14.44,2.8,1,0.646 +1,B4 SH,SHANKLE,2908,60.44,0.371,3,13.57,2.9,1,0.625 +1,B4 SH,SHANKLE,2908.5,71.83,0.384,5.6,13.74,2.8,1,0.604 +1,B4 SH,SHANKLE,2909,78.1,0.389,7.1,14.31,2.8,1,0.583 +1,B4 SH,SHANKLE,2909.5,82.34,0.386,7.7,14.44,2.7,1,0.563 +1,B4 SH,SHANKLE,2910,85.94,0.384,7.7,14.25,2.7,1,0.542 +1,B4 SH,SHANKLE,2910.5,71.56,0.38,8.2,14.51,2.7,1,0.521 +1,B4 SH,SHANKLE,2911,69.26,0.373,7.2,15.655,2.7,1,0.5 +1,B4 SH,SHANKLE,2911.5,65.79,0.365,6,16.385,2.8,1,0.479 +1,B4 SH,SHANKLE,2912,58.76,0.354,3.5,16.94,2.7,1,0.458 +1,B4 SH,SHANKLE,2912.5,60.11,0.342,1.3,17.025,2.6,1,0.438 +1,B4 SH,SHANKLE,2913,62,0.344,0.3,17.325,2.6,1,0.417 +1,B4 SH,SHANKLE,2913.5,61.56,0.354,0.6,17.815,2.8,1,0.396 +1,B4 SH,SHANKLE,2914,58.39,0.362,1.3,18.575,2.7,1,0.375 +1,B4 SH,SHANKLE,2914.5,62.03,0.362,-0.8,18.52,2.6,1,0.354 +1,B4 SH,SHANKLE,2915,58.92,0.348,-1.6,17.575,2.6,1,0.333 +1,B4 SH,SHANKLE,2915.5,62.43,0.324,-0.2,16.275,2.6,1,0.313 +1,B4 SH,SHANKLE,2916,63.32,0.292,4,16.375,2.7,1,0.292 +1,B4 SH,SHANKLE,2916.5,64.42,0.262,5.9,17.115,2.8,1,0.271 +2,B4 SH,SHANKLE,2917,63.11,0.243,5.9,18.435,2.8,1,0.25 +2,B4 SH,SHANKLE,2917.5,63.11,0.243,5.9,18.435,2.8,1,0.25 +2,B4 SH,SHANKLE,2918,68.73,0.236,4.7,18.565,2.8,1,0.229 +2,B4 SH,SHANKLE,2918.5,68.82,0.243,3.7,18.135,3,1,0.208 +2,B4 SH,SHANKLE,2919,63.27,0.258,3.9,16.665,3.1,1,0.188 +2,B4 SH,SHANKLE,2919.5,63.95,0.279,5,15.155,3.3,1,0.167 +2,B4 SH,SHANKLE,2920,73.72,0.301,7,13.77,3.2,1,0.146 +2,B4 SH,SHANKLE,2920.5,70.47,0.324,8.1,14.83,2.4,1,0.125 +3,B4 SH,SHANKLE,2921,78.62,0.354,0.5,24.675,2.1,1,0.104 +3,B4 SH,SHANKLE,2921.5,81.91,0.398,-9.6,35.2,1.9,1,0.083 +3,B4 SH,SHANKLE,2922,77.68,0.459,-6.8,44.645,1.9,1,0.063 +3,B4 SH,SHANKLE,2922.5,74.51,0.538,-7.4,51.805,2,1,0.042 +3,B4 SH,SHANKLE,2923,66.9,0.605,-13,46.795,2,1,0.021 +6,B4 LM,SHANKLE,2924,26.06,0.725,-12.9,16.17,4.4,1,0.857 +6,B4 LM,SHANKLE,2924.5,20.73,0.796,3.7,4.785,4.1,2,0.714 +6,B4 LM,SHANKLE,2925,18.4,0.876,7.6,4.555,3.7,2,0.571 +6,B4 LM,SHANKLE,2925.5,20.07,0.941,9.7,6.745,3.3,2,0.429 +6,B4 LM,SHANKLE,2926,20.85,0.903,7.7,9.415,3.4,2,0.286 +6,B4 LM,SHANKLE,2926.5,24.51,0.809,4.3,11.98,2.5,2,0.143 +3,B5 SH,SHANKLE,2927,37.82,0.722,-0.1,19.085,2.2,1,1 +3,B5 SH,SHANKLE,2930,79.36,0.47,-6,35.77,2.4,1,0.45 +3,B5 SH,SHANKLE,2930.5,78.41,0.468,-6.4,33.73,2.6,1,0.4 +3,B5 SH,SHANKLE,2931,70,0.453,-8.4,31.445,2.6,1,0.35 +3,B5 SH,SHANKLE,2931.5,67.67,0.43,-9.9,31.45,2.7,1,0.3 +3,B5 SH,SHANKLE,2932,67.38,0.391,-7.6,30.565,2.6,1,0.25 +3,B5 SH,SHANKLE,2932.5,70.08,0.34,-2.9,33.215,2.5,1,0.2 +3,B5 SH,SHANKLE,2933,72.4,0.29,-0.2,39.915,2.3,1,0.15 +3,B5 SH,SHANKLE,2933.5,70.73,0.241,-4,41.445,2.3,1,0.1 +3,B5 SH,SHANKLE,2934,65.14,0.193,-1.9,37.005,2.6,1,0.05 +7,B5 LM,SHANKLE,2934.5,52.05,0.152,5.9,29.525,2.9,2,1 +7,B5 LM,SHANKLE,2935,30.56,0.121,12.2,27.265,3,2,0.958 +7,B5 LM,SHANKLE,2935.5,25.47,0.097,10.8,27.915,3,2,0.917 +7,B5 LM,SHANKLE,2936,25.34,0.093,6.4,27.115,3,2,0.875 +7,B5 LM,SHANKLE,2936.5,31.3,0.111,3.8,26.515,3,2,0.833 +7,B5 LM,SHANKLE,2937,45.23,0.146,3.6,24.38,3,2,0.792 +7,B5 LM,SHANKLE,2937.5,53.09,0.196,4.7,22.525,3,2,0.75 +7,B5 LM,SHANKLE,2938,53.66,0.255,2.1,19.515,3.1,2,0.708 +7,B5 LM,SHANKLE,2938.5,48.3,0.318,-1.1,16.71,3.4,2,0.667 +8,B5 LM,SHANKLE,2939,47.58,0.386,-1.3,14.275,4,2,0.625 +8,B5 LM,SHANKLE,2939.5,44.54,0.456,0.5,12.48,4.2,2,0.583 +8,B5 LM,SHANKLE,2940,45.57,0.531,1.6,11.42,4.3,2,0.542 +8,B5 LM,SHANKLE,2940.5,49.17,0.607,1,10.82,4.3,2,0.5 +8,B5 LM,SHANKLE,2941,58.97,0.68,0.6,10.535,4.4,2,0.458 +8,B5 LM,SHANKLE,2941.5,78.86,0.744,0.7,10.32,4.6,2,0.417 +8,B5 LM,SHANKLE,2942,100.24,0.797,1.4,10.38,4.7,2,0.375 +8,B5 LM,SHANKLE,2942.5,97.94,0.842,0.8,10.56,4.8,2,0.333 +8,B5 LM,SHANKLE,2943,94.67,0.881,-0.5,10.57,4.7,2,0.292 +8,B5 LM,SHANKLE,2943.5,78.63,0.914,-1,10.18,4.7,2,0.25 +8,B5 LM,SHANKLE,2944,97.99,0.932,-1.9,9.31,4.7,2,0.208 +8,B5 LM,SHANKLE,2944.5,130.86,0.921,-2.5,8.1,4.9,2,0.167 +8,B5 LM,SHANKLE,2945,167.9,0.883,-0.8,6.22,4.5,2,0.125 +8,B5 LM,SHANKLE,2945.5,191.7,0.822,4.2,5.195,3.8,2,0.083 +3,C SH,SHANKLE,2946,149.65,0.711,-5.9,24.32,2.3,1,1 +3,C SH,SHANKLE,2948,75.83,0.571,-9.4,34.61,2.8,1,0.93 +3,C SH,SHANKLE,2948.5,66.28,0.56,2.5,28.99,2.7,1,0.912 +3,C SH,SHANKLE,2949,69.44,0.567,-0.2,27.455,2.6,1,0.895 +3,C SH,SHANKLE,2949.5,69.67,0.584,-1.6,24.68,2.6,1,0.877 +3,C SH,SHANKLE,2950,72.32,0.609,-2.1,21.265,2.9,1,0.86 +3,C SH,SHANKLE,2950.5,72.26,0.634,5.3,16.795,3.2,1,0.842 +3,C SH,SHANKLE,2951,66.6,0.652,8.9,13.99,3.3,1,0.825 +3,C SH,SHANKLE,2951.5,66.67,0.659,10.7,14.42,3.2,1,0.807 +3,C SH,SHANKLE,2952,67.49,0.661,9.3,15.755,3.2,1,0.789 +3,C SH,SHANKLE,2952.5,69.17,0.657,6.3,17.91,3,1,0.772 +3,C SH,SHANKLE,2953,67.63,0.649,6.3,17.22,3.2,1,0.754 +3,C SH,SHANKLE,2953.5,74.65,0.639,7.1,16.125,3.1,1,0.737 +3,C SH,SHANKLE,2954,69.34,0.626,6.4,16.405,3.1,1,0.719 +3,C SH,SHANKLE,2954.5,67.71,0.616,3.6,17.57,2.9,1,0.702 +3,C SH,SHANKLE,2955,69.85,0.61,2.9,18.53,3,1,0.684 +3,C SH,SHANKLE,2955.5,72.99,0.606,6.6,17.785,3,1,0.667 +3,C SH,SHANKLE,2956,72.73,0.605,3.5,21.265,2.8,1,0.649 +3,C SH,SHANKLE,2956.5,71.24,0.606,-3,23.97,2.8,1,0.632 +3,C SH,SHANKLE,2957,65.18,0.607,-1.1,24.32,3.3,1,0.614 +3,C SH,SHANKLE,2957.5,76.51,0.61,3.1,23.925,3.3,1,0.596 +3,C SH,SHANKLE,2958,72.51,0.615,0.3,27.215,3.1,1,0.579 +3,C SH,SHANKLE,2958.5,73.66,0.622,-8,30.125,2.7,1,0.561 +3,C SH,SHANKLE,2959,72.96,0.627,-12.3,29.985,2.5,1,0.544 +3,C SH,SHANKLE,2959.5,66.05,0.628,-9.4,26.215,2.8,1,0.526 +3,C SH,SHANKLE,2960,75.61,0.624,-1.1,21.255,3.1,1,0.509 +3,C SH,SHANKLE,2960.5,68.69,0.621,6.8,16.645,3.3,1,0.491 +3,C SH,SHANKLE,2961,67.49,0.621,5.2,17.925,3,1,0.474 +3,C SH,SHANKLE,2961.5,71.32,0.62,2,18.325,2.9,1,0.456 +3,C SH,SHANKLE,2962,69.16,0.616,3.5,16.405,3.1,1,0.439 +3,C SH,SHANKLE,2962.5,72.18,0.611,5.7,15.525,3.3,1,0.421 +3,C SH,SHANKLE,2963,67.16,0.606,4.4,16.48,3.2,1,0.404 +3,C SH,SHANKLE,2963.5,72.36,0.606,1.5,18.61,3.2,1,0.386 +3,C SH,SHANKLE,2964,76.08,0.614,0.8,19.615,3.1,1,0.368 +3,C SH,SHANKLE,2964.5,75.85,0.626,1.8,21.045,2.9,1,0.351 +3,C SH,SHANKLE,2965,72.11,0.633,-3.6,22.505,2.7,1,0.333 +3,C SH,SHANKLE,2965.5,73.8,0.635,-9,22.545,2.9,1,0.316 +3,C SH,SHANKLE,2966,71.57,0.636,-5.1,17.625,3.3,1,0.298 +3,C SH,SHANKLE,2966.5,71.38,0.629,1,14.06,3.6,1,0.281 +3,C SH,SHANKLE,2967,72.44,0.622,6.2,14.855,3.1,1,0.263 +3,C SH,SHANKLE,2967.5,74.87,0.622,5.8,19.845,2.8,1,0.246 +3,C SH,SHANKLE,2968,76.01,0.621,-2.7,23.955,2.4,1,0.228 +3,C SH,SHANKLE,2968.5,76.11,0.618,-9,25.4,3,1,0.211 +3,C SH,SHANKLE,2969,76.47,0.624,-3.5,24.095,3.3,1,0.193 +3,C 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LM,SHANKLE,2979.5,35.86,0.633,8.6,10.67,2.9,2,0.836 +7,C LM,SHANKLE,2980,33.77,0.599,8.1,12.535,2.9,2,0.821 +7,C LM,SHANKLE,2980.5,28.53,0.567,7.7,13.935,2.9,2,0.806 +7,C LM,SHANKLE,2981,29.12,0.539,6,14.68,2.9,2,0.791 +7,C LM,SHANKLE,2981.5,29.54,0.519,4.2,14.81,2.8,2,0.776 +7,C LM,SHANKLE,2982,29.95,0.516,2.4,13.68,2.8,2,0.761 +7,C LM,SHANKLE,2982.5,29.36,0.529,1.7,12.36,3,2,0.746 +7,C LM,SHANKLE,2983,34.62,0.558,1.9,10.51,3.3,2,0.731 +7,C LM,SHANKLE,2983.5,32.74,0.605,2,9.08,3.3,2,0.716 +6,C LM,SHANKLE,2984,38.04,0.666,1.7,8.405,3.2,2,0.701 +6,C LM,SHANKLE,2984.5,39.18,0.728,1.5,8.235,3.2,2,0.687 +6,C LM,SHANKLE,2985,39.55,0.792,1.9,8.035,3.3,2,0.672 +6,C LM,SHANKLE,2985.5,37.83,0.846,2.3,7.68,3.4,2,0.657 +6,C LM,SHANKLE,2986,35.09,0.884,2.8,7.775,3.4,2,0.642 +6,C LM,SHANKLE,2986.5,38.17,0.905,3.8,7.92,3.6,2,0.627 +6,C LM,SHANKLE,2987,37.4,0.913,3.9,8.16,3.3,2,0.612 +6,C LM,SHANKLE,2987.5,36.2,0.913,2.6,8.54,3.4,2,0.597 +6,C LM,SHANKLE,2988,38.73,0.91,2.4,8.6,3.4,2,0.582 +6,C LM,SHANKLE,2988.5,36.86,0.908,1.9,8.9,3.5,2,0.567 +6,C LM,SHANKLE,2989,38.24,0.905,2,8.845,3.4,2,0.552 +6,C LM,SHANKLE,2989.5,36.1,0.901,1.6,8.5,3.4,2,0.537 +6,C LM,SHANKLE,2990,38.5,0.897,2.6,8.25,3.3,2,0.522 +6,C LM,SHANKLE,2990.5,35.87,0.89,3,8.42,3.4,2,0.507 +6,C LM,SHANKLE,2991,37.2,0.884,3.6,8.495,3.3,2,0.493 +6,C LM,SHANKLE,2991.5,39.89,0.88,3.1,8.695,3.6,2,0.478 +6,C LM,SHANKLE,2992,40.73,0.876,2.9,8.505,3.7,2,0.463 +6,C LM,SHANKLE,2992.5,41.81,0.873,2,8.845,3.7,2,0.448 +6,C LM,SHANKLE,2993,44.47,0.872,1.9,8.74,3.5,2,0.433 +6,C LM,SHANKLE,2993.5,43.87,0.87,1.9,8.715,3.4,2,0.418 +6,C LM,SHANKLE,2994,47.4,0.872,2.4,8.375,3.5,2,0.403 +6,C LM,SHANKLE,2994.5,48.75,0.875,2.6,8.47,3.6,2,0.388 +6,C LM,SHANKLE,2995,53.77,0.877,3.1,8.2,3.6,2,0.373 +6,C LM,SHANKLE,2995.5,65.61,0.88,3.2,8.555,3.7,2,0.358 +5,C LM,SHANKLE,2996,79.98,0.884,3,8.435,3.8,2,0.343 +5,C LM,SHANKLE,2996.5,115.6,0.885,3.6,8.76,3.9,2,0.328 +5,C LM,SHANKLE,2997,201.75,0.887,3.9,8.645,4.1,2,0.313 +5,C 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LM,LUKE G U,2643,57.35,0.736,12.3,10.95,3.7,2,0.821 +6,A1 LM,LUKE G U,2643.5,62.93,0.736,11.1,11.55,3.8,2,0.806 +6,A1 LM,LUKE G U,2644,66.49,0.745,10,11,3.9,2,0.791 +6,A1 LM,LUKE G U,2644.5,64.2,0.754,7.2,9.3,4,2,0.776 +6,A1 LM,LUKE G U,2645,58.09,0.801,2.5,6.55,4.1,2,0.761 +6,A1 LM,LUKE G U,2645.5,55,0.904,2.5,4.95,4.1,2,0.746 +6,A1 LM,LUKE G U,2646,55.97,0.923,2.5,4.85,4.1,2,0.731 +6,A1 LM,LUKE G U,2646.5,58.81,0.913,3.1,6.05,4.1,2,0.716 +6,A1 LM,LUKE G U,2647,67.1,0.885,5.4,8.3,4,2,0.701 +6,A1 LM,LUKE G U,2647.5,77.82,0.866,8.2,10.7,4,2,0.687 +4,A1 LM,LUKE G U,2648,115.71,0.829,8.2,11.5,3.9,2,0.672 +4,A1 LM,LUKE G U,2648.5,145.34,0.81,8.1,11.55,3.7,2,0.657 +4,A1 LM,LUKE G U,2649,195.89,0.801,8,11.5,3.7,2,0.642 +4,A1 LM,LUKE G U,2649.5,191.22,0.81,8.3,11.25,3.6,2,0.627 +4,A1 LM,LUKE G U,2650,177.59,0.82,7,9.7,3.6,2,0.612 +4,A1 LM,LUKE G U,2650.5,151.13,0.866,5.6,7.7,3.6,2,0.597 +8,A1 LM,LUKE G U,2651,116.51,0.932,3,5.2,3.8,2,0.582 +8,A1 LM,LUKE G U,2651.5,58.47,0.96,2,3.4,4.4,2,0.567 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U,2660.5,55.48,0.764,8.5,13.05,3.6,2,0.299 +6,A1 LM,LUKE G U,2661,51.6,0.857,3.8,10.1,3.7,2,0.284 +6,A1 LM,LUKE G U,2661.5,47.71,0.838,3.2,9,3.8,2,0.269 +6,A1 LM,LUKE G U,2662,48.07,0.801,3.2,8.9,3.8,2,0.254 +4,A1 LM,LUKE G U,2662.5,49.41,0.754,3.4,9.3,3.8,2,0.239 +4,A1 LM,LUKE G U,2663,66.1,0.689,3.7,10.35,3.8,2,0.224 +4,A1 LM,LUKE G U,2663.5,76.15,0.633,4.7,11.75,3.6,2,0.209 +4,A1 LM,LUKE G U,2664,92.92,0.595,7.6,14.1,3.3,2,0.194 +4,A1 LM,LUKE G U,2664.5,100.69,0.577,7.8,16.3,3.2,2,0.179 +4,A1 LM,LUKE G U,2665,101.16,0.605,7.4,18.6,2.5,2,0.164 +4,A1 LM,LUKE G U,2665.5,97.59,0.654,4.5,20.95,2.8,2,0.149 +4,A1 LM,LUKE G U,2666,87.35,0.711,4.7,20.85,3.1,2,0.134 +6,A1 LM,LUKE G U,2666.5,72.1,0.761,6.8,13.5,3.3,2,0.119 +6,A1 LM,LUKE G U,2667,64.79,0.806,7.5,9.75,3.8,2,0.104 +6,A1 LM,LUKE G U,2667.5,62.31,0.848,6.4,8.3,3.9,2,0.09 +6,A1 LM,LUKE G U,2668,56.83,0.894,5,7.2,3.8,2,0.075 +8,A1 LM,LUKE G U,2668.5,52.34,0.904,1.7,5.45,3.8,2,0.06 +8,A1 LM,LUKE G U,2669,48.52,0.904,-4.3,8.35,4,2,0.045 +8,A1 LM,LUKE G U,2669.5,54.95,0.885,-12.3,12.45,4,2,0.03 +8,A1 LM,LUKE G U,2670,61.02,0.838,-14.4,17.3,3.8,2,0.015 +3,B1 SH,LUKE G U,2670.5,66.93,0.745,-13.4,21.8,3.6,1,1 +3,B1 SH,LUKE G U,2671,70.41,0.708,-6.3,21.75,3.2,1,0.974 +3,B1 SH,LUKE G U,2671.5,73.06,0.661,-1,20,3.1,1,0.949 +3,B1 SH,LUKE G U,2672,75.05,0.623,0.3,20.35,3,1,0.923 +3,B1 SH,LUKE G U,2672.5,76.58,0.614,1.1,21.15,2.9,1,0.897 +3,B1 SH,LUKE G U,2673,79.26,0.614,1,24.1,2.8,1,0.872 +3,B1 SH,LUKE G U,2673.5,80.34,0.614,6.3,23.55,2.7,1,0.846 +3,B1 SH,LUKE G U,2674,80.13,0.614,6.8,23.7,2.6,1,0.821 +3,B1 SH,LUKE G U,2674.5,76.51,0.623,6.6,23.6,2.6,1,0.795 +3,B1 SH,LUKE G U,2675,74.52,0.642,3.3,24.25,2.6,1,0.769 +2,B1 SH,LUKE G U,2675.5,73.2,0.67,0.1,23.65,2.6,1,0.744 +2,B1 SH,LUKE G U,2676,69.51,0.698,4,17.9,2.7,1,0.718 +2,B1 SH,LUKE G U,2676.5,64.97,0.736,4.6,16,2.8,1,0.692 +2,B1 SH,LUKE G U,2677,65.21,0.736,6.3,14.85,3,1,0.667 +2,B1 SH,LUKE G U,2677.5,65.7,0.736,7.4,13.6,3.1,1,0.641 +2,B1 SH,LUKE G U,2678,65.24,0.717,9,11.6,3.3,1,0.615 +2,B1 SH,LUKE G U,2678.5,63.2,0.717,9.2,10.7,3.6,1,0.59 +2,B1 SH,LUKE G U,2679,61.71,0.676,6.7,11.15,3.7,1,0.564 +2,B1 SH,LUKE G U,2679.5,60.3,0.624,4.3,11.05,3.6,1,0.538 +2,B1 SH,LUKE G U,2680,58.7,0.565,2.5,11.65,3.5,1,0.513 +2,B1 SH,LUKE G U,2680.5,56.18,0.511,0.8,11.7,3.3,1,0.487 +2,B1 SH,LUKE G U,2681,55.11,0.483,0.4,11.6,3,1,0.462 +2,B1 SH,LUKE G U,2681.5,54.51,0.436,0.5,11.55,3,1,0.436 +2,B1 SH,LUKE G U,2682,55.3,0.411,0.8,11.5,2.9,1,0.41 +2,B1 SH,LUKE G U,2682.5,55.56,0.39,1.2,11.6,2.9,1,0.385 +2,B1 SH,LUKE G U,2683,54.92,0.362,1.1,11.75,2.8,1,0.359 +2,B1 SH,LUKE G U,2683.5,54.92,0.352,1,11.9,2.8,1,0.333 +2,B1 SH,LUKE G U,2684,55.63,0.362,0.9,11.85,2.9,1,0.308 +2,B1 SH,LUKE G U,2684.5,57.6,0.371,1,11.7,2.9,1,0.282 +2,B1 SH,LUKE G U,2685,60.83,0.371,1.7,11.45,3,1,0.256 +2,B1 SH,LUKE G U,2685.5,62.86,0.38,2.4,11.6,3.1,1,0.231 +3,B1 SH,LUKE G U,2686,67.48,0.407,8.6,14.6,3.1,1,0.205 +3,B1 SH,LUKE G U,2686.5,74.05,0.436,8.4,14.8,3.2,1,0.179 +3,B1 SH,LUKE G U,2687,77.79,0.464,8.2,14.6,3.2,1,0.154 +3,B1 SH,LUKE G U,2687.5,76.99,0.49,6.9,13.55,3.3,1,0.128 +3,B1 SH,LUKE G U,2688,75.9,0.502,6.7,15.15,3.4,1,0.103 +3,B1 SH,LUKE G U,2688.5,74.27,0.521,3.7,18.55,3.5,1,0.077 +3,B1 SH,LUKE G U,2689,73.43,0.537,-1,21.9,3.6,1,0.051 +3,B1 SH,LUKE G U,2689.5,64.68,0.633,-0.5,20.45,3.3,1,0.026 +8,B1 LM,LUKE G U,2690,50.6,0.717,-0.2,16.1,3.4,2,1 +8,B1 LM,LUKE G U,2690.5,39.67,0.792,-1.6,6.4,3.6,2,0.957 +8,B1 LM,LUKE G U,2691,31.96,0.81,0.5,4.55,3.9,2,0.913 +6,B1 LM,LUKE G U,2691.5,42.29,0.866,0.6,4.6,4.5,2,0.87 +6,B1 LM,LUKE G U,2692,48.33,0.904,1.8,5.6,4.2,2,0.826 +6,B1 LM,LUKE G U,2692.5,48.4,0.932,0.9,6.15,3.6,2,0.783 +6,B1 LM,LUKE G U,2693,48.41,0.979,0.5,6.25,3.4,2,0.739 +6,B1 LM,LUKE G U,2693.5,46.41,1.007,-0.2,5.9,3.5,2,0.696 +8,B1 LM,LUKE G U,2694,44.36,1.025,-0.7,5.45,3.6,2,0.652 +8,B1 LM,LUKE G U,2694.5,39.15,1.053,-0.2,4.4,3.8,2,0.609 +6,B1 LM,LUKE G U,2695,36.7,1.072,0.7,3.25,4.1,2,0.565 +6,B1 LM,LUKE G U,2695.5,36.01,1.1,0.5,3.05,4.7,2,0.522 +6,B1 LM,LUKE G U,2696,37.9,1.119,0.8,3.3,4.9,2,0.478 +6,B1 LM,LUKE G U,2696.5,40.44,1.119,1.4,3.6,4.7,2,0.435 +6,B1 LM,LUKE G U,2697,43.51,1.128,1.7,3.75,4.5,2,0.391 +6,B1 LM,LUKE G U,2697.5,44.73,1.119,1.8,3.9,4.3,2,0.348 +6,B1 LM,LUKE G U,2698,52.29,1.119,1.9,4.25,4.2,2,0.304 +6,B1 LM,LUKE G U,2698.5,57.68,1.095,2.9,5.35,4.3,2,0.261 +8,B1 LM,LUKE G U,2699,55.66,1.063,2.6,5.3,4.5,2,0.217 +8,B1 LM,LUKE G U,2699.5,51.65,1.044,1.7,4.35,4.6,2,0.174 +8,B1 LM,LUKE G U,2700,48.58,0.894,1.2,3.4,4.6,2,0.13 +8,B1 LM,LUKE G U,2700.5,52.53,0.82,0.8,3.5,4.5,2,0.087 +8,B1 LM,LUKE G U,2701,63.83,0.727,2.4,4.9,4.1,2,0.043 +3,B2 SH,LUKE G U,2701.5,73.93,0.661,2.5,9.95,3.6,1,1 +3,B2 SH,LUKE G U,2702,82.15,0.623,5.9,12.95,3.2,1,0.957 +2,B2 SH,LUKE G U,2702.5,79.86,0.586,7.5,14.05,3.1,1,0.913 +2,B2 SH,LUKE G U,2703,75.71,0.567,6.6,13.5,3.1,1,0.87 +2,B2 SH,LUKE G U,2703.5,70.41,0.567,7,11,3.2,1,0.826 +2,B2 SH,LUKE G U,2704,59.72,0.595,6.8,9.4,3.4,1,0.783 +2,B2 SH,LUKE G U,2704.5,61.47,0.623,5.8,8.4,3.6,1,0.739 +2,B2 SH,LUKE G U,2705,65.24,0.623,6.6,8.9,3.9,1,0.696 +2,B2 SH,LUKE G U,2705.5,66.26,0.633,6.4,9.1,4.1,1,0.652 +2,B2 SH,LUKE G U,2706,68.21,0.623,4.8,9.8,4.2,1,0.609 +2,B2 SH,LUKE G U,2706.5,69.24,0.567,3.1,10.65,4,1,0.565 +2,B2 SH,LUKE G U,2707,71.23,0.53,2,12.8,3.8,1,0.522 +2,B2 SH,LUKE G U,2707.5,76.47,0.502,-9.2,23.9,3.7,1,0.478 +3,B2 SH,LUKE G U,2708,83.52,0.493,-5.5,27.15,3.2,1,0.435 +3,B2 SH,LUKE G U,2708.5,82.88,0.502,-4.8,27.5,2.6,1,0.348 +3,B2 SH,LUKE G U,2709,76.99,0.53,-2.5,25.55,2.6,1,0.304 +2,B2 SH,LUKE G U,2709.5,68.71,0.549,-1.9,15.95,2.7,1,0.261 +2,B2 SH,LUKE G U,2710,66.49,0.595,2.3,9.95,3,1,0.217 +2,B2 SH,LUKE G U,2710.5,66.67,0.614,1.8,10.3,3.4,1,0.174 +2,B2 SH,LUKE G U,2711,68.68,0.661,4.7,17.45,3.4,1,0.13 +2,B2 SH,LUKE G U,2711.5,67.26,0.689,-3.6,21.4,3.3,1,0.087 +8,B2 LM,LUKE G U,2712,38.21,0.745,0.5,17.25,3.2,2,1 +8,B2 LM,LUKE G U,2712.5,23.03,0.764,2,13.2,3.4,2,0.947 +8,B2 LM,LUKE G U,2713,16.09,0.764,0,9.6,4,2,0.895 +8,B2 LM,LUKE G U,2713.5,15.38,0.773,0.2,9.4,4.7,2,0.842 +8,B2 LM,LUKE G U,2714,15.34,0.792,0.1,9.75,5.3,2,0.789 +8,B2 LM,LUKE G U,2714.5,15.83,0.792,-1.5,11.15,5.8,2,0.737 +8,B2 LM,LUKE G U,2715,16.39,0.801,-2,11.4,5.8,2,0.684 +8,B2 LM,LUKE G U,2715.5,17.2,0.838,-2.5,11.15,5.6,2,0.632 +8,B2 LM,LUKE G U,2716,20.17,0.857,-3,10.4,5.2,2,0.579 +8,B2 LM,LUKE G U,2716.5,24.31,0.876,-3,8.6,5.1,2,0.526 +8,B2 LM,LUKE G U,2717,24.49,0.885,-0.4,6.6,5,2,0.474 +8,B2 LM,LUKE G U,2717.5,24.54,0.904,0.7,5.95,5,2,0.421 +8,B2 LM,LUKE G U,2718,23.16,0.904,1.2,6.5,5,2,0.368 +8,B2 LM,LUKE G U,2718.5,22.98,0.913,1.1,6.75,5,2,0.316 +8,B2 LM,LUKE G U,2719,23.48,0.904,0.8,7.8,5.1,2,0.263 +8,B2 LM,LUKE G U,2719.5,25.9,0.866,1.8,8.1,5.1,2,0.211 +6,B2 LM,LUKE G U,2720,25.9,0.866,1.8,8.1,5.1,2,0.211 +6,B2 LM,LUKE G U,2720.5,32.16,0.824,2.9,8.15,5.1,2,0.158 +6,B2 LM,LUKE G U,2721,34.86,0.773,3.5,8.55,5.1,2,0.105 +6,B2 LM,LUKE G U,2721.5,38.53,0.726,2.8,8.9,5.1,2,0.053 +3,B3 SH,LUKE G U,2722,40.07,0.595,0.3,8.95,4.9,1,1 +3,B3 SH,LUKE G U,2722.5,45.45,0.493,-5.8,11.9,4.4,1,0.971 +3,B3 SH,LUKE G U,2723,54.42,0.446,-16,17.8,3.7,1,0.943 +3,B3 SH,LUKE G U,2723.5,82.13,0.427,-12.2,23.4,3.3,1,0.914 +3,B3 SH,LUKE G U,2724,95.72,0.399,-5.6,27.1,2.9,1,0.886 +3,B3 SH,LUKE G U,2724.5,100.54,0.371,-0.6,29.6,2.6,1,0.857 +3,B3 SH,LUKE G U,2725,101.09,0.343,-0.2,29.8,2.5,1,0.829 +3,B3 SH,LUKE G U,2725.5,97.01,0.306,-0.5,29.55,2.4,1,0.8 +3,B3 SH,LUKE G U,2726,89.65,0.268,-3.4,28,2.4,1,0.771 +3,B3 SH,LUKE G U,2726.5,87.36,0.25,-1.3,23.45,2.4,1,0.743 +3,B3 SH,LUKE G U,2727,84.42,0.231,3,20.9,2.5,1,0.714 +3,B3 SH,LUKE G U,2727.5,83.16,0.222,7.3,18.85,2.7,1,0.686 +3,B3 SH,LUKE G U,2728,82.81,0.212,7.6,19.5,2.7,1,0.657 +3,B3 SH,LUKE G U,2728.5,85.11,0.194,4.3,21.85,2.8,1,0.629 +3,B3 SH,LUKE G U,2729,86.75,0.194,4.1,21.85,2.7,1,0.6 +3,B3 SH,LUKE G U,2729.5,87.27,0.194,3,21.2,2.6,1,0.571 +3,B3 SH,LUKE G U,2730,85.02,0.203,5.4,19.6,2.6,1,0.543 +3,B3 SH,LUKE G U,2730.5,79.75,0.226,5.8,19.7,2.6,1,0.514 +3,B3 SH,LUKE G U,2731,78.3,0.24,5.5,19.85,2.6,1,0.486 +3,B3 SH,LUKE G U,2731.5,81.07,0.269,7.6,18.4,2.6,1,0.457 +2,B3 SH,LUKE G U,2732,79.27,0.302,6.4,16.2,2.8,1,0.429 +2,B3 SH,LUKE G U,2732.5,73.93,0.334,5.9,14.05,3,1,0.4 +2,B3 SH,LUKE G U,2733,65.23,0.371,4.1,11.95,3.3,1,0.371 +2,B3 SH,LUKE G U,2733.5,61.78,0.446,3.2,11.2,3.5,1,0.343 +2,B3 SH,LUKE G U,2734,62.11,0.493,2.8,11.5,3.5,1,0.314 +2,B3 SH,LUKE G U,2734.5,62.58,0.521,2.7,11.95,3.4,1,0.286 +2,B3 SH,LUKE G U,2735,64.56,0.53,2.5,12.15,3.3,1,0.257 +2,B3 SH,LUKE G U,2735.5,67.07,0.53,2.5,11.85,3.4,1,0.229 +2,B3 SH,LUKE G U,2736,68.49,0.521,2.8,11.7,3.3,1,0.2 +2,B3 SH,LUKE G U,2736.5,74.44,0.521,3.1,11.55,3.2,1,0.171 +3,B3 SH,LUKE G U,2737,78.97,0.521,4.4,11.5,3.3,1,0.143 +3,B3 SH,LUKE G U,2737.5,80.06,0.558,5.7,11.65,3.4,1,0.114 +8,B3 LM,LUKE G U,2738,67.48,0.741,2.5,13.85,3.9,2,1 +8,B3 LM,LUKE G U,2738.5,52.5,0.773,1.4,12.9,4,2,0.889 +8,B3 LM,LUKE G U,2739,31.71,0.801,0.6,9.2,4.3,2,0.778 +8,B3 LM,LUKE G U,2739.5,25.1,0.81,-0.7,8.35,4.6,2,0.667 +8,B3 LM,LUKE G U,2740,23.57,0.829,-1.5,7.55,4.7,2,0.556 +8,B3 LM,LUKE G U,2740.5,25.17,0.829,-1.5,7.15,4.7,2,0.444 +8,B3 LM,LUKE G U,2741,31.3,0.801,-0.8,6.7,4.7,2,0.333 +8,B3 LM,LUKE G U,2741.5,37.3,0.773,0.1,6.75,4.4,2,0.222 +8,B3 LM,LUKE G U,2742,43.05,0.736,0.9,7.15,3.8,2,0.111 +2,B4 SH,LUKE G U,2742.5,49.95,0.698,1.6,7.9,3.6,1,1 +2,B4 SH,LUKE G U,2743,56.08,0.642,1.6,8.2,3.5,1,0.957 +2,B4 SH,LUKE G U,2743.5,58.25,0.62,1.8,8.8,3.4,1,0.913 +2,B4 SH,LUKE G U,2744,61.71,0.596,3,9.1,3.4,1,0.87 +2,B4 SH,LUKE G U,2744.5,66.63,0.567,4.1,9.45,3.3,1,0.826 +3,B4 SH,LUKE G U,2745,71.55,0.558,5.1,9.85,3.3,1,0.783 +3,B4 SH,LUKE G U,2745.5,78.54,0.567,6.9,11.35,3.3,1,0.739 +3,B4 SH,LUKE G U,2746,82.48,0.549,9.5,13.95,3.2,1,0.696 +3,B4 SH,LUKE G U,2746.5,77.48,0.549,8.7,13.65,3.2,1,0.652 +2,B4 SH,LUKE G U,2747,74.35,0.539,7.7,12.75,3.1,1,0.609 +2,B4 SH,LUKE G U,2747.5,67.76,0.53,6.7,11.95,3.2,1,0.565 +2,B4 SH,LUKE G U,2748,62.93,0.53,5.7,11.65,3.3,1,0.522 +2,B4 SH,LUKE G U,2748.5,58.85,0.53,2.8,10.7,3.3,1,0.478 +2,B4 SH,LUKE G U,2749,57.92,0.521,2.2,11,3.3,1,0.435 +2,B4 SH,LUKE G U,2749.5,61.42,0.53,2.2,11.2,3.2,1,0.391 +2,B4 SH,LUKE G U,2750,61.98,0.53,2.5,11.45,3.2,1,0.348 +2,B4 SH,LUKE G U,2750.5,62.63,0.539,2.8,11.5,3.1,1,0.304 +2,B4 SH,LUKE G U,2751,62.94,0.539,3.6,11.2,3.1,1,0.261 +2,B4 SH,LUKE G U,2751.5,65.85,0.53,4.4,10.9,3.3,1,0.217 +2,B4 SH,LUKE G U,2752,68.59,0.53,4.4,10.9,3.4,1,0.174 +3,B4 SH,LUKE G U,2752.5,74.99,0.53,2.7,12.25,3.5,1,0.13 +3,B4 SH,LUKE G U,2753,79.04,0.539,3,14.5,3.6,1,0.087 +3,B4 SH,LUKE G U,2753.5,79.86,0.558,3.2,17.8,3.4,1,0.043 +3,B4 SH,LUKE G U,2754,79.11,0.61,7,17.7,3.2,1,0.01 +6,B4 LM,LUKE G U,2754.5,79.11,0.61,7,17.7,3.2,2,1 +8,B4 LM,LUKE G U,2755,73.93,0.689,7,14.1,3.2,2,0.857 +8,B4 LM,LUKE G U,2755.5,56.13,0.698,5.6,9.2,3.5,2,0.714 +8,B4 LM,LUKE G U,2756,30.61,0.698,4.2,6.4,4.1,2,0.571 +8,B4 LM,LUKE G U,2756.5,18.45,0.68,3.2,5.3,4.7,2,0.429 +8,B4 LM,LUKE G U,2757,19.36,0.562,3.7,5.55,5,2,0.143 +3,B5 SH,LUKE G U,2757.5,26.23,0.465,1.3,7.95,4.8,1,1 +3,B5 SH,LUKE G U,2758,31.45,0.427,-1.1,13.65,4.5,1,0.917 +3,B5 SH,LUKE G U,2758.5,39.85,0.371,-0.9,19.55,3.8,1,0.833 +3,B5 SH,LUKE G U,2759,55.71,0.362,-0.7,28.15,2.9,1,0.75 +3,B5 SH,LUKE G U,2759.5,65.46,0.343,-1.4,26.8,2.6,1,0.667 +3,B5 SH,LUKE G U,2760,68.77,0.343,-2.9,24.15,2.7,1,0.583 +3,B5 SH,LUKE G U,2760.5,73.83,0.343,1.1,20.65,2.9,1,0.5 +3,B5 SH,LUKE G U,2761,76.77,0.409,-1.1,21.85,3.1,1,0.417 +3,B5 SH,LUKE G U,2761.5,77.06,0.455,-2.4,22.9,3,1,0.333 +3,B5 SH,LUKE G U,2762,75.99,0.493,-3.3,23.45,2.9,1,0.25 +3,B5 SH,LUKE G U,2762.5,70.48,0.53,-4.2,23.9,2.8,1,0.167 +3,B5 SH,LUKE G U,2763,64.69,0.567,-5.8,24.6,2.7,1,0.083 +8,B5 LM,LUKE G U,2763.5,53.18,0.623,-4.6,22.6,2.6,2,1 +8,B5 LM,LUKE G U,2764,27.76,0.68,5,10.9,3.3,2,0.944 +8,B5 LM,LUKE G U,2764.5,24,0.651,6.8,9.4,3.8,2,0.917 +8,B5 LM,LUKE G U,2765,20.94,0.623,6.5,9.55,4.2,2,0.889 +8,B5 LM,LUKE G U,2765.5,20.62,0.586,5.8,10.4,4.3,2,0.861 +8,B5 LM,LUKE G U,2766,19.31,0.502,5.1,12.05,4.4,2,0.833 +8,B5 LM,LUKE G U,2766.5,18.91,0.409,4.8,13.5,4.5,2,0.806 +8,B5 LM,LUKE G U,2767,17.04,0.362,4.1,14.95,4.5,2,0.778 +8,B5 LM,LUKE G U,2767.5,15.6,0.296,4.1,16.15,4.5,2,0.75 +7,B5 LM,LUKE G U,2768,14.28,0.259,3.5,16.85,4.5,2,0.722 +7,B5 LM,LUKE G U,2768.5,13.53,0.226,2.5,15.95,4.5,2,0.694 +7,B5 LM,LUKE G U,2769,17.33,0.203,3.6,14.3,4.5,2,0.667 +7,B5 LM,LUKE G U,2769.5,22,0.194,5.7,13.15,4.4,2,0.639 +7,B5 LM,LUKE G U,2770,27.28,0.194,7.6,12.8,4.2,2,0.611 +7,B5 LM,LUKE G U,2770.5,34.55,0.194,11,15.3,3.9,2,0.583 +7,B5 LM,LUKE G U,2771,35.39,0.203,11.5,17.75,3.7,2,0.556 +7,B5 LM,LUKE G U,2771.5,35.46,0.212,10.4,18.5,3.6,2,0.528 +7,B5 LM,LUKE G U,2772,37.16,0.231,8.9,17.65,3.5,2,0.5 +7,B5 LM,LUKE G U,2772.5,42.1,0.259,6.4,14.5,3.5,2,0.472 +7,B5 LM,LUKE G U,2773,59.72,0.296,7.3,13.45,3.6,2,0.444 +7,B5 LM,LUKE G U,2773.5,83.87,0.352,7.3,12.55,3.8,2,0.417 +7,B5 LM,LUKE G U,2774,61.49,0.362,6,11.4,4.1,2,0.389 +7,B5 LM,LUKE G U,2774.5,29.36,0.38,6.3,10.55,4.2,2,0.361 +7,B5 LM,LUKE G U,2775,32.62,0.399,5.8,9.8,4.4,2,0.333 +7,B5 LM,LUKE G U,2775.5,33.41,0.418,5.7,9.75,4.5,2,0.306 +7,B5 LM,LUKE G U,2776,37.19,0.436,4.2,10.8,4.6,2,0.278 +7,B5 LM,LUKE G U,2776.5,39.56,0.452,4.2,12.3,4.7,2,0.25 +7,B5 LM,LUKE G U,2777,44.16,0.494,2.6,13.3,4.7,2,0.222 +7,B5 LM,LUKE G U,2777.5,56.62,0.531,0.5,13.85,4.7,2,0.194 +6,B5 LM,LUKE G U,2778,68.42,0.567,-0.4,13.2,4.5,2,0.167 +6,B5 LM,LUKE G U,2778.5,87.91,0.586,0.4,10.5,4.4,2,0.139 +6,B5 LM,LUKE G U,2779,90.81,0.633,1.9,7.55,4.5,2,0.111 +6,B5 LM,LUKE G U,2779.5,88.5,0.651,2,5.6,4.7,2,0.083 +6,B5 LM,LUKE G U,2780,92.21,0.661,1.8,4.3,4.8,2,0.056 +6,B5 LM,LUKE G U,2780.5,89.56,0.661,2,4.2,4.7,2,0.028 +6,B5 LM,LUKE G U,2781,78.51,0.642,1.5,5.05,4.5,2,0.01 +3,C SH,LUKE G U,2781.5,78.51,0.642,1.5,5.05,4.5,1,1 +3,C SH,LUKE G U,2782,80.19,0.614,1.2,9.4,4.2,1,0.982 +3,C SH,LUKE G U,2782.5,85.11,0.567,0.2,13,3.9,1,0.965 +3,C SH,LUKE G U,2783,86.97,0.549,0.7,16.65,3.4,1,0.947 +3,C SH,LUKE G U,2783.5,84.85,0.549,2.9,18.35,3.2,1,0.93 +3,C SH,LUKE G U,2784,80.37,0.549,5.2,19.5,3.1,1,0.912 +3,C SH,LUKE G U,2784.5,74.4,0.558,8.4,20.7,3,1,0.895 +3,C SH,LUKE G U,2785,74.77,0.558,9.2,20.3,3,1,0.877 +3,C SH,LUKE G U,2785.5,75.13,0.549,8.6,18.9,3.1,1,0.86 +3,C SH,LUKE G U,2786,74.23,0.549,8.9,17.95,3.2,1,0.842 +3,C SH,LUKE G U,2786.5,73.64,0.539,10,16.7,3.2,1,0.825 +3,C SH,LUKE G U,2787,74.34,0.533,10,16.9,3.3,1,0.807 +3,C SH,LUKE G U,2787.5,74.26,0.53,8.9,17.65,3.3,1,0.789 +3,C SH,LUKE G U,2788,73.78,0.53,6.7,18.75,3.2,1,0.772 +3,C SH,LUKE G U,2788.5,73.38,0.53,5.7,18.45,3.2,1,0.754 +3,C SH,LUKE G U,2789,72.69,0.53,5,18.1,3.1,1,0.737 +3,C SH,LUKE G U,2789.5,73.82,0.521,5.8,16.3,3.1,1,0.719 +3,C SH,LUKE G U,2790,77.1,0.493,7.6,15.5,3.2,1,0.702 +3,C SH,LUKE G U,2790.5,78.49,0.483,13,13.3,3.2,1,0.684 +3,C SH,LUKE G U,2791,78.59,0.465,14.3,14.25,3.3,1,0.667 +3,C SH,LUKE G U,2791.5,78.57,0.455,13.4,14.5,3.3,1,0.649 +3,C SH,LUKE G U,2792,76.44,0.436,13.1,14.45,3.4,1,0.632 +3,C SH,LUKE G U,2792.5,74.66,0.427,10.5,13.25,3.4,1,0.614 +3,C SH,LUKE G U,2793,74.76,0.418,10.1,13.45,3.4,1,0.596 +3,C SH,LUKE G U,2793.5,75.86,0.409,9.9,15.35,3.4,1,0.579 +3,C SH,LUKE G U,2794,77.96,0.409,7.7,17.05,3.4,1,0.561 +3,C SH,LUKE G U,2794.5,78.82,0.418,7.3,20.75,3.3,1,0.544 +2,C SH,LUKE G U,2795,79.34,0.446,4.9,22.25,3.2,1,0.526 +2,C SH,LUKE G U,2795.5,79.17,0.455,2.8,23.2,3.1,1,0.509 +2,C SH,LUKE G U,2796,76.21,0.483,1.3,22.65,3,1,0.491 +2,C SH,LUKE G U,2796.5,73.41,0.511,4.1,18.85,3,1,0.474 +2,C SH,LUKE G U,2797,70.99,0.53,9.7,15.35,3.1,1,0.456 +2,C SH,LUKE G U,2797.5,72.14,0.549,13.9,13.05,3.4,1,0.439 +2,C SH,LUKE G U,2798,70.4,0.614,12.3,13.25,3.6,1,0.386 +2,C SH,LUKE G U,2798.5,67.2,0.633,11.9,13.05,3.7,1,0.368 +2,C SH,LUKE G U,2799,67.15,0.642,11.7,12.65,3.7,1,0.351 +2,C SH,LUKE G U,2799.5,66.51,0.651,11.3,12.25,3.7,1,0.333 +2,C SH,LUKE G U,2800,66.45,0.651,10.8,11.9,3.7,1,0.316 +2,C SH,LUKE G U,2800.5,67.8,0.651,10.5,11.85,3.7,1,0.298 +3,C SH,LUKE G U,2801,69.34,0.651,10.1,12.05,3.7,1,0.281 +3,C SH,LUKE G U,2801.5,72.24,0.633,10.1,12.25,3.7,1,0.263 +3,C SH,LUKE G U,2802,75.96,0.614,8.8,14.7,3.7,1,0.246 +3,C SH,LUKE G U,2802.5,79.36,0.586,7.7,18.45,3.7,1,0.228 +3,C SH,LUKE G U,2803,81.47,0.567,0.4,24.1,3.5,1,0.211 +3,C SH,LUKE G U,2803.5,78.28,0.549,1.9,23.15,3.3,1,0.193 +3,C SH,LUKE G U,2804,75.1,0.53,3,20.4,3,1,0.175 +3,C SH,LUKE G U,2804.5,75.6,0.511,5.7,18.55,2.9,1,0.158 +3,C SH,LUKE G U,2805,77.08,0.521,9.5,16.25,3.1,1,0.14 +3,C SH,LUKE G U,2805.5,78.66,0.521,9.8,15.9,3.3,1,0.123 +3,C SH,LUKE G U,2806,79.17,0.521,9.5,15.55,3.3,1,0.105 +3,C SH,LUKE G U,2806.5,79.34,0.53,8.1,15.35,3.1,1,0.088 +3,C SH,LUKE G U,2807,80,0.538,1.6,19,2.7,1,0.07 +3,C SH,LUKE G U,2807.5,79.37,0.562,-7,25.6,1.8,1,0.053 +3,C SH,LUKE G U,2808,77.67,0.584,0.7,26.45,1,1,0.035 +3,C SH,LUKE G U,2808.5,75.52,0.606,3.9,25.05,0.2,1,0.018 +8,C LM,LUKE G U,2810.5,21.76,0.997,11.1,0.55,3.4,2,0.956 +6,C LM,LUKE G U,2811,18.63,1.063,5.1,3.55,4.6,2,0.941 +6,C LM,LUKE G U,2811.5,22.29,1.109,2.9,5.15,4.6,2,0.926 +6,C LM,LUKE G U,2812,26.95,1.137,3.4,5.5,4.5,2,0.912 +6,C LM,LUKE G U,2812.5,32.25,1.137,3.6,5.6,4.3,2,0.897 +6,C LM,LUKE G U,2813,33.61,1.137,3.1,5.15,4.3,2,0.882 +6,C LM,LUKE G U,2813.5,35.08,1.109,2.8,4.7,4.5,2,0.868 +6,C LM,LUKE G U,2814,33.38,1.072,2.6,4.5,4.6,2,0.853 +6,C LM,LUKE G U,2814.5,30.61,1.016,2,4.6,4.6,2,0.838 +6,C LM,LUKE G U,2815,29.09,0.979,1.2,5,4.6,2,0.824 +5,C LM,LUKE G U,2815.5,29.88,0.941,2.2,5.4,4.5,2,0.809 +5,C LM,LUKE G U,2816,34.23,0.932,4.3,5.15,4.3,2,0.794 +6,C LM,LUKE G U,2816.5,39.19,0.932,7,6.1,4.3,2,0.779 +6,C LM,LUKE G U,2817,43.79,0.932,9.1,6.55,4.3,2,0.765 +6,C LM,LUKE G U,2817.5,51.07,0.932,8.4,6.9,4.2,2,0.75 +6,C LM,LUKE G U,2818,49.55,0.955,5.7,5.75,4.2,2,0.735 +6,C LM,LUKE G U,2818.5,42.49,0.979,3.5,4.85,4.3,2,0.721 +6,C LM,LUKE G U,2819,48.45,1.007,3.5,5.05,4.4,2,0.706 +6,C LM,LUKE G U,2819.5,54.59,1.044,3.9,5.45,4.4,2,0.691 +6,C LM,LUKE G U,2820,56.75,1.053,3.5,5.45,4.5,2,0.676 +6,C LM,LUKE G U,2820.5,48.11,1.044,2.8,5.5,4.7,2,0.662 +6,C LM,LUKE G U,2821,41.37,1.016,2.3,5.65,4.7,2,0.647 +6,C LM,LUKE G U,2821.5,40.62,0.997,1.8,6,4.8,2,0.632 +6,C LM,LUKE G U,2822,43.16,0.988,1.7,6.35,4.8,2,0.618 +6,C LM,LUKE G U,2822.5,46.73,0.969,2.6,7.1,4.7,2,0.603 +6,C LM,LUKE G U,2823,51.04,0.96,3.7,8.15,4.5,2,0.588 +6,C LM,LUKE G U,2823.5,54.56,0.979,3.6,8.2,4.2,2,0.574 +6,C LM,LUKE G U,2824,53.58,1.007,3.4,7.8,3.9,2,0.559 +6,C LM,LUKE G U,2824.5,50,1.081,2.5,6.75,3.8,2,0.544 +6,C LM,LUKE G U,2825,46.51,1.1,0.7,5.35,3.8,2,0.529 +6,C LM,LUKE G U,2825.5,41.43,1.109,0.6,5.3,3.9,2,0.515 +6,C LM,LUKE G U,2826,40.19,1.081,0.6,5.4,3.9,2,0.5 +6,C LM,LUKE G U,2826.5,42.42,1.025,1,5.6,3.8,2,0.485 +6,C LM,LUKE G U,2827,61.67,1.025,3.7,7.05,3.9,2,0.471 +6,C LM,LUKE G U,2827.5,87.35,1.054,4.9,7.65,3.9,2,0.456 +6,C LM,LUKE G U,2828,105.98,1.072,6.3,8.35,4,2,0.441 +4,C LM,LUKE G 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U,2837.5,77.15,0.418,-8,25,2.7,1,0.162 +3,C LM,LUKE G U,2838,81.46,0.423,-2.4,24.4,2.5,1,0.147 +3,C LM,LUKE G U,2838.5,80.74,0.436,1.8,24.7,2.4,1,0.132 +3,C LM,LUKE G U,2839,83.61,0.567,12.2,29.4,2.4,1,0.118 +3,C LM,LUKE G U,2839.5,84.33,0.642,11,28.5,2.4,1,0.103 +8,C LM,LUKE G U,2840,79.48,0.689,7.7,26.15,2.5,2,0.074 +8,C LM,LUKE G U,2840.5,62.88,0.689,12.6,23.7,2.7,2,0.059 +8,C LM,LUKE G U,2841,41.04,0.633,13.7,10.65,3.2,2,0.044 +8,C LM,LUKE G U,2841.5,33.99,0.567,3.2,3.9,3.8,2,0.029 +8,C LM,LUKE G U,2842,30.81,0.493,3,4.2,4.9,2,0.015 +1,A1 SH,KIMZEY A,2918.5,73.816,0.769,5.226,11.348,,1,1 +1,A1 SH,KIMZEY A,2919,75.118,0.627,8.198,13.164,,1,0.978 +1,A1 SH,KIMZEY A,2919.5,72.434,0.535,10.867,15.0755,,1,0.956 +2,A1 SH,KIMZEY A,2920,66.161,0.568,4.566,16.905,,1,0.933 +2,A1 SH,KIMZEY A,2920.5,63.104,0.65,2.083,15.8835,,1,0.911 +1,A1 SH,KIMZEY A,2921,61.708,0.732,4.292,12.036,,1,0.889 +2,A1 SH,KIMZEY A,2921.5,60.478,0.688,4.236,10.908,,1,0.867 +1,A1 SH,KIMZEY A,2922,58.876,0.683,2.449,12.1045,,1,0.844 +1,A1 SH,KIMZEY A,2922.5,56.785,0.753,2.311,12.9165,,1,0.822 +1,A1 SH,KIMZEY A,2923,54.551,0.759,0.748,13.147,,1,0.8 +1,A1 SH,KIMZEY A,2923.5,55.816,0.802,0.101,14.3515,,1,0.778 +3,A1 SH,KIMZEY A,2924,59.263,0.759,0.936,16.575,,1,0.756 +3,A1 SH,KIMZEY A,2924.5,62.969,0.421,1.513,17.7715,,1,0.733 +1,A1 SH,KIMZEY A,2925,65.403,0.33,5.722,23.48,,1,0.711 +3,A1 SH,KIMZEY A,2925.5,67.745,0.285,6.988,25.213,,1,0.689 +3,A1 SH,KIMZEY A,2926,68.45,0.35,5.392,27.221,,1,0.667 +3,A1 SH,KIMZEY A,2926.5,68.727,0.475,5.888,30.11,,1,0.644 +2,A1 SH,KIMZEY A,2927,66.604,0.677,11.995,16.2725,,1,0.622 +2,A1 SH,KIMZEY A,2927.5,63.92,0.721,7.923,12.4755,,1,0.6 +2,A1 SH,KIMZEY A,2928,58.267,0.737,7.923,10.7705,,1,0.578 +2,A1 SH,KIMZEY A,2928.5,56.916,0.677,6.987,9.7525,,1,0.556 +2,A1 SH,KIMZEY A,2929,56.618,0.65,6.492,9.395,,1,0.533 +2,A1 SH,KIMZEY A,2929.5,60.636,0.639,6.602,10.055,,1,0.511 +3,A1 SH,KIMZEY A,2930,61.96,0.606,6.602,10.495,,1,0.489 +3,A1 SH,KIMZEY A,2930.5,64.962,0.59,6.328,11.293,,1,0.467 +3,A1 SH,KIMZEY A,2931,67.517,0.563,7.098,12.118,,1,0.444 +3,A1 SH,KIMZEY A,2931.5,68.959,0.552,8.308,12.118,,1,0.422 +3,A1 SH,KIMZEY A,2932,66.302,0.552,8.473,11.7055,,1,0.4 +3,A1 SH,KIMZEY A,2932.5,61.404,0.59,8.033,10.9355,,1,0.378 +2,A1 SH,KIMZEY A,2933,56.906,0.623,6.217,10.4675,,1,0.356 +2,A1 SH,KIMZEY A,2933.5,55.656,0.655,5.612,11.045,,1,0.333 +2,A1 SH,KIMZEY A,2934,55.94,0.639,6.218,11.678,,1,0.311 +2,A1 SH,KIMZEY A,2934.5,58.334,0.617,8.143,13.0815,,1,0.289 +2,A1 SH,KIMZEY A,2935,59.547,0.59,9.793,14.0715,,1,0.267 +2,A1 SH,KIMZEY A,2935.5,62.762,0.601,9.958,14.154,,1,0.244 +2,A1 SH,KIMZEY A,2936,65.695,0.633,9.408,13.549,,1,0.222 +2,A1 SH,KIMZEY A,2936.5,70.578,0.633,10.399,11.5135,,1,0.2 +2,A1 SH,KIMZEY A,2937,73.069,0.601,10.206,11.499,,1,0.178 +3,A1 SH,KIMZEY A,2937.5,74.041,0.623,10.894,12.091,,1,0.156 +3,A1 SH,KIMZEY A,2938,74.037,0.732,11.389,12.6135,,1,0.133 +3,A1 SH,KIMZEY A,2938.5,72.422,0.737,12.27,13.329,,1,0.111 +3,A1 SH,KIMZEY A,2939,71.318,0.532,12.819,15.3095,,1,0.089 +3,A1 SH,KIMZEY A,2939.5,68.421,0.432,12.6,16.41,,1,0.067 +3,A1 SH,KIMZEY A,2940,66.15,0.443,15.571,18.9405,,1,0.044 +3,A1 SH,KIMZEY A,2940.5,60.517,0.525,14.47,20.096,,1,0.022 +6,A1 LM,KIMZEY A,2941,57.391,0.653,9.262,18.024,,1,1 +8,A1 LM,KIMZEY A,2941.5,47.916,0.819,15.681,13.4935,,2,0.988 +8,A1 LM,KIMZEY A,2942,38.771,0.966,11.664,12.311,,2,0.976 +8,A1 LM,KIMZEY A,2942.5,34.811,1.184,5.178,7.796,,2,0.964 +8,A1 LM,KIMZEY A,2943,34.846,1.364,3.576,6.176,,2,0.952 +8,A1 LM,KIMZEY A,2943.5,39.206,1.402,1.981,6.5885,,2,0.94 +8,A1 LM,KIMZEY A,2944,42.445,1.429,2.421,6.0935,,2,0.929 +8,A1 LM,KIMZEY A,2944.5,44.914,1.445,3.425,5.5915,,2,0.917 +8,A1 LM,KIMZEY A,2945,41.339,1.462,4.787,5.2405,,2,0.905 +8,A1 LM,KIMZEY A,2945.5,36.036,1.435,6.052,5.048,,2,0.893 +6,A1 LM,KIMZEY A,2946,34.817,1.326,7.702,4.663,,2,0.881 +6,A1 LM,KIMZEY A,2946.5,36.339,1.054,8.914,5.103,,2,0.869 +6,A1 LM,KIMZEY A,2947,41.035,0.857,10.619,6.6165,,2,0.857 +6,A1 LM,KIMZEY A,2947.5,44.711,0.791,11.499,7.5515,,2,0.845 +5,A1 LM,KIMZEY A,2948,49.27,0.742,12.105,8.7895,,2,0.833 +5,A1 LM,KIMZEY A,2948.5,50.791,0.721,14.415,8.7895,,2,0.821 +5,A1 LM,KIMZEY A,2949,54.86,0.715,13.093,9.8355,,2,0.81 +5,A1 LM,KIMZEY A,2949.5,59.829,0.721,12.104,10.55,,2,0.798 +5,A1 LM,KIMZEY A,2950,62.092,0.764,11.884,10.66,,2,0.786 +5,A1 LM,KIMZEY A,2950.5,65.692,0.906,11.664,10.66,,2,0.774 +6,A1 LM,KIMZEY A,2951,74.874,1.042,9.188,9.312,,2,0.762 +6,A1 LM,KIMZEY A,2951.5,80.549,1.108,9.354,7.139,,2,0.75 +6,A1 LM,KIMZEY A,2952,86.97,1.282,7.703,5.4605,,2,0.738 +6,A1 LM,KIMZEY A,2952.5,95.071,1.234,6.045,5.9875,,2,0.726 +5,A1 LM,KIMZEY A,2953,116.632,1.129,7.978,8.597,,2,0.714 +5,A1 LM,KIMZEY A,2953.5,133.545,0.988,8.908,9.948,,2,0.702 +5,A1 LM,KIMZEY A,2954,126.67,0.879,10.686,10.269,,2,0.69 +5,A1 LM,KIMZEY A,2954.5,116.684,0.911,12.789,10.5935,,2,0.679 +8,A1 LM,KIMZEY A,2955,81.969,0.993,12.654,10.33,,2,0.667 +8,A1 LM,KIMZEY A,2955.5,60.123,1.124,9.299,10.5775,,2,0.655 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A,2972.5,48.466,0.955,6.193,10.7305,,2,0.25 +4,A1 LM,KIMZEY A,2973,47.694,0.96,7.483,10.2755,,2,0.238 +4,A1 LM,KIMZEY A,2973.5,48.353,0.966,7.317,10.0825,,2,0.226 +4,A1 LM,KIMZEY A,2974,49.337,0.83,4.731,11.0455,,2,0.214 +4,A1 LM,KIMZEY A,2974.5,55.521,0.797,6.185,12.3225,,2,0.202 +4,A1 LM,KIMZEY A,2975,58.802,0.759,8.859,12.5035,,2,0.19 +4,A1 LM,KIMZEY A,2975.5,62.155,0.715,11.98,13.143,,2,0.179 +4,A1 LM,KIMZEY A,2976,62.962,0.71,12.81,12.107,,2,0.167 +4,A1 LM,KIMZEY A,2976.5,61.659,0.824,12.711,11.2385,,2,0.155 +4,A1 LM,KIMZEY A,2977,60.723,0.917,12.544,10.275,,2,0.143 +4,A1 LM,KIMZEY A,2977.5,63.254,0.988,10.014,9.725,,2,0.131 +4,A1 LM,KIMZEY A,2978,67.182,1.026,10.234,8.294,,2,0.119 +5,A1 LM,KIMZEY A,2978.5,70.126,1.086,8.528,7.827,,2,0.107 +5,A1 LM,KIMZEY A,2979,72.706,1.178,6.822,7.194,,2,0.095 +6,A1 LM,KIMZEY A,2979.5,70.559,1.222,6.245,5.9145,,2,0.083 +6,A1 LM,KIMZEY A,2980,70.829,1.249,3.686,5.846,,2,0.071 +8,A1 LM,KIMZEY A,2980.5,74.178,1.249,3.411,5.7635,,2,0.06 +8,A1 LM,KIMZEY A,2981,75.855,1.249,3.73,6.253,,2,0.048 +8,A1 LM,KIMZEY A,2981.5,74.898,1.227,2.434,7.916,,2,0.036 +8,A1 LM,KIMZEY A,2982,75.331,1.178,3.659,8.5285,,2,0.024 +8,A1 LM,KIMZEY A,2982.5,76.272,0.988,5.062,8.459,,2,0.012 +3,B1 SH,KIMZEY A,2983,82.485,0.79,7.788,10.978,,1,1 +3,B1 SH,KIMZEY A,2983.5,83.761,0.732,11.664,14.787,,1,0.96 +3,B1 SH,KIMZEY A,2984,82.284,0.557,14.572,18.395,,1,0.92 +3,B1 SH,KIMZEY A,2984.5,79.657,0.557,13.15,21.582,,1,0.88 +3,B1 SH,KIMZEY A,2985,77.044,0.606,13.932,21.356,,1,0.84 +3,B1 SH,KIMZEY A,2985.5,71.624,0.677,12.646,20.172,,1,0.8 +3,B1 SH,KIMZEY A,2986,68.35,0.635,10.998,18.806,,1,0.76 +3,B1 SH,KIMZEY A,2986.5,61.636,0.595,7.648,16.575,,1,0.72 +2,B1 SH,KIMZEY A,2987,60.02,0.666,11.341,15.0105,,1,0.68 +2,B1 SH,KIMZEY A,2987.5,57.334,0.74,15.736,13.301,,1,0.64 +2,B1 SH,KIMZEY A,2988,51.604,0.82,8.804,15.172,,1,0.6 +2,B1 SH,KIMZEY A,2988.5,47.143,0.888,7.212,12.611,,1,0.56 +2,B1 SH,KIMZEY A,2989,44.586,0.966,4.979,9.4085,,1,0.52 +2,B1 SH,KIMZEY A,2989.5,45.435,0.96,3.301,9.1195,,1,0.48 +2,B1 SH,KIMZEY A,2990,44.447,0.911,3.906,8.267,,1,0.44 +2,B1 SH,KIMZEY A,2990.5,44.343,0.884,5.595,7.4505,,1,0.4 +2,B1 SH,KIMZEY A,2991,46.069,0.868,7.647,7.3315,,1,0.36 +2,B1 SH,KIMZEY A,2991.5,48.61,0.868,6.273,8.8995,,1,0.32 +2,B1 SH,KIMZEY A,2992,49.756,0.911,8.467,9.0675,,1,0.28 +2,B1 SH,KIMZEY A,2992.5,49.709,0.862,9.998,8.962,,1,0.24 +2,B1 SH,KIMZEY A,2993,49.673,0.795,11.664,9.505,,1,0.2 +2,B1 SH,KIMZEY A,2993.5,49.554,0.704,11.38,11.298,,1,0.16 +2,B1 SH,KIMZEY A,2994,46.149,0.748,10.328,12.154,,1,0.12 +2,B1 SH,KIMZEY A,2994.5,43.622,0.793,8.143,12.2555,,1,0.08 +2,B1 SH,KIMZEY A,2995,36.663,0.873,7.538,10.743,,1,0.04 +5,B1 LM,KIMZEY A,2995.5,30.458,0.944,8.254,9.89,,2,1 +8,B1 LM,KIMZEY A,2996,23.578,0.988,9.243,8.6795,,2,0.973 +8,B1 LM,KIMZEY A,2996.5,15.887,1.031,6.786,8.533,,2,0.946 +8,B1 LM,KIMZEY A,2997,13.839,1.075,3.081,8.0195,,2,0.919 +8,B1 LM,KIMZEY A,2997.5,13.488,1.124,1.761,7.9645,,2,0.892 +8,B1 LM,KIMZEY A,2998,14.872,1.353,0.715,7.8265,,2,0.865 +8,B1 LM,KIMZEY A,2998.5,15.609,1.429,-0.22,8.184,,2,0.838 +8,B1 LM,KIMZEY A,2999,16.399,1.293,-0.78,8.959,,2,0.811 +8,B1 LM,KIMZEY A,2999.5,16.823,1.019,0.623,10.8235,,2,0.784 +8,B1 LM,KIMZEY A,3000,17.222,0.672,0.44,12.696,,2,0.757 +8,B1 LM,KIMZEY A,3000.5,18.517,0.672,0.357,13.3425,,2,0.73 +8,B1 LM,KIMZEY A,3001,19.516,0.737,3.796,11.953,,2,0.703 +8,B1 LM,KIMZEY A,3001.5,20.442,0.926,2.035,10.0275,,2,0.676 +8,B1 LM,KIMZEY A,3002,24.152,1.064,0.908,8.253,,2,0.649 +8,B1 LM,KIMZEY A,3002.5,26.727,1.037,2.586,6.671,,2,0.622 +5,B1 LM,KIMZEY A,3003,30.452,0.982,4.457,5.5155,,2,0.595 +5,B1 LM,KIMZEY A,3003.5,31.861,0.971,4.841,5.8185,,2,0.568 +5,B1 LM,KIMZEY A,3004,31.738,1.138,4.401,6.3135,,2,0.541 +6,B1 LM,KIMZEY A,3004.5,29.468,1.245,3.329,6.2995,,2,0.514 +6,B1 LM,KIMZEY A,3005,27.071,1.331,2.036,6.066,,2,0.486 +6,B1 LM,KIMZEY A,3005.5,26.809,1.385,0.881,6.2585,,2,0.459 +6,B1 LM,KIMZEY A,3006,27.558,1.304,0.881,6.2585,,2,0.432 +6,B1 LM,KIMZEY A,3006.5,28.052,1.304,3.246,6.011,,2,0.405 +6,B1 LM,KIMZEY A,3007,26.961,1.375,3.357,6.2585,,2,0.378 +6,B1 LM,KIMZEY A,3007.5,25.043,1.32,4.347,7.0015,,2,0.351 +8,B1 LM,KIMZEY A,3008,24.733,1.231,5.172,8.074,,2,0.324 +8,B1 LM,KIMZEY A,3008.5,25.028,1.104,5.007,9.6425,,2,0.297 +8,B1 LM,KIMZEY A,3009,27.922,0.922,5.557,11.0175,,2,0.27 +8,B1 LM,KIMZEY A,3009.5,35.886,0.791,5.254,11.527,,2,0.243 +8,B1 LM,KIMZEY A,3010,40.984,0.871,5.558,11.293,,2,0.216 +8,B1 LM,KIMZEY A,3010.5,47.502,0.976,5.227,10.5225,,2,0.189 +8,B1 LM,KIMZEY A,3011,54.884,1.042,3.961,9.2845,,2,0.162 +8,B1 LM,KIMZEY A,3011.5,71.764,1.097,4.071,8.1845,,2,0.135 +8,B1 LM,KIMZEY A,3012,80.974,1.037,3.768,7.978,,2,0.108 +8,B1 LM,KIMZEY A,3012.5,81.694,0.971,5.378,9.388,,2,0.081 +8,B1 LM,KIMZEY A,3013,81.769,0.819,6.163,11.2105,,2,0.054 +8,B1 LM,KIMZEY A,3013.5,77.668,0.71,6.438,13.989,,2,0.027 +3,B2 SH,KIMZEY A,3014,74.262,0.573,10.729,15.9145,,1,1 +3,B2 SH,KIMZEY A,3014.5,71.388,0.497,15.984,18.322,,1,0.929 +3,B2 SH,KIMZEY A,3015,70.555,0.306,17.937,19.8485,,1,0.857 +3,B2 SH,KIMZEY A,3015.5,74.138,0.422,14.525,22.5445,,1,0.786 +3,B2 SH,KIMZEY A,3016,72.583,0.494,14.968,20.73,,1,0.714 +3,B2 SH,KIMZEY A,3016.5,68.824,0.556,10.203,21.3735,,1,0.643 +3,B2 SH,KIMZEY A,3017,65.282,0.628,9.904,19.271,,1,0.571 +3,B2 SH,KIMZEY A,3017.5,60.532,0.71,10.729,14.0445,,1,0.5 +3,B2 SH,KIMZEY A,3018,57.217,0.879,9.794,12.531,,1,0.429 +3,B2 SH,KIMZEY A,3018.5,55.096,0.911,6.272,10.495,,1,0.357 +3,B2 SH,KIMZEY A,3019,52.36,0.78,7.521,10.5145,,1,0.286 +2,B2 SH,KIMZEY A,3019.5,51.351,0.737,9.051,10.8395,,1,0.214 +2,B2 SH,KIMZEY A,3020,48.562,0.764,11.775,11.0455,,1,0.143 +2,B2 SH,KIMZEY A,3020.5,43.998,0.922,10.048,12.184,,1,0.071 +5,B2 LM,KIMZEY A,3021,39.7,1.046,5.943,11.4305,,2,1 +5,B2 LM,KIMZEY A,3021.5,35.864,1.151,7.483,6.3135,,2,0.955 +5,B2 LM,KIMZEY A,3022,28.812,1.276,5.474,4.484,,2,0.909 +8,B2 LM,KIMZEY A,3022.5,24.317,1.381,6.163,3.6725,,2,0.864 +8,B2 LM,KIMZEY A,3023,20.368,1.528,4.071,3.9475,,2,0.818 +8,B2 LM,KIMZEY A,3023.5,18.842,1.734,3.301,3.8375,,2,0.773 +8,B2 LM,KIMZEY A,3024,19.376,1.8,4.236,3.095,,2,0.727 +8,B2 LM,KIMZEY A,3024.5,20.95,1.794,4.952,2.792,,2,0.682 +8,B2 LM,KIMZEY A,3025,22.348,1.762,5.777,3.0945,,2,0.636 +8,B2 LM,KIMZEY A,3025.5,30.047,1.625,2.925,5.0715,,2,0.591 +8,B2 LM,KIMZEY A,3026,33.171,1.517,1.596,6.011,,2,0.545 +8,B2 LM,KIMZEY A,3026.5,37.235,1.373,2.972,7.359,,2,0.5 +8,B2 LM,KIMZEY A,3027,37.768,1.255,3.934,7.813,,2,0.455 +8,B2 LM,KIMZEY A,3027.5,33.443,1.206,6.382,7.579,,2,0.409 +8,B2 LM,KIMZEY A,3028,33.3,0.974,7.097,7.6065,,2,0.364 +8,B2 LM,KIMZEY A,3028.5,35.489,0.846,7.592,7.469,,2,0.318 +8,B2 LM,KIMZEY A,3029,37.509,0.931,7.813,6.5885,,2,0.273 +5,B2 LM,KIMZEY A,3029.5,40.634,0.971,7.18,6.107,,2,0.227 +5,B2 LM,KIMZEY A,3030,43.743,1.102,4.842,6.644,,2,0.182 +5,B2 LM,KIMZEY A,3030.5,48.963,1.184,6.163,5.8185,,2,0.136 +6,B2 LM,KIMZEY A,3031,51.045,1.249,6.878,6.011,,2,0.091 +6,B2 LM,KIMZEY A,3031.5,53.929,0.987,8.797,7.5755,,2,0.045 +5,B2 LM,KIMZEY A,3032,61.399,0.825,11.41,8.992,,2,0.01 +3,B3 SH,KIMZEY A,3032.5,61.399,0.825,11.41,8.992,,1,1 +3,B3 SH,KIMZEY A,3033,71.921,0.677,14.285,11.3765,,1,0.955 +3,B3 SH,KIMZEY A,3033.5,73.821,0.464,16.695,15.1565,,1,0.909 +2,B3 SH,KIMZEY A,3034,73.681,0.464,15.075,16.7675,,1,0.864 +2,B3 SH,KIMZEY A,3034.5,71.35,0.579,12.033,16.2915,,1,0.818 +2,B3 SH,KIMZEY A,3035,69.416,0.683,8.831,15.0205,,1,0.773 +2,B3 SH,KIMZEY A,3035.5,67.261,0.764,9.978,10.678,,1,0.727 +2,B3 SH,KIMZEY A,3036,64.868,0.819,11.012,9.611,,1,0.682 +2,B3 SH,KIMZEY A,3036.5,62.321,0.762,12.214,9.56,,1,0.636 +2,B3 SH,KIMZEY A,3037,62.074,0.753,10.6,10.312,,1,0.591 +2,B3 SH,KIMZEY A,3037.5,61.119,0.748,8.198,10.605,,1,0.545 +2,B3 SH,KIMZEY A,3038,61.291,0.742,7.703,10.7155,,1,0.5 +2,B3 SH,KIMZEY A,3038.5,63.942,0.737,9.124,10.5,,1,0.455 +2,B3 SH,KIMZEY A,3039,65.728,0.721,10.069,10.6325,,1,0.409 +2,B3 SH,KIMZEY A,3039.5,67.095,0.699,10.729,11.0725,,1,0.364 +2,B3 SH,KIMZEY A,3040,64.452,0.661,10.179,11.6505,,1,0.318 +2,B3 SH,KIMZEY A,3040.5,62.594,0.721,10.014,12.036,,1,0.273 +3,B3 SH,KIMZEY A,3041,60.872,0.791,9.959,12.3385,,1,0.227 +3,B3 SH,KIMZEY A,3041.5,60.841,0.685,11.101,13.2395,,1,0.182 +3,B3 SH,KIMZEY A,3042,59.067,0.525,11.829,16.0245,,1,0.136 +2,B3 SH,KIMZEY A,3042.5,53.585,0.519,12.957,16.9465,,1,0.091 +2,B3 SH,KIMZEY A,3043,40.166,0.869,12.325,17.1525,,1,0.045 +8,B3 LM,KIMZEY A,3043.5,24.969,1.018,10.566,18.142,,2,1 +8,B3 LM,KIMZEY A,3044,18.534,1.124,8.639,12.7235,,2,0.929 +8,B3 LM,KIMZEY A,3044.5,16.033,0.9,11.389,11.7885,,2,0.857 +7,B3 LM,KIMZEY A,3045,16.449,0.76,12.193,12.8625,,2,0.786 +7,B3 LM,KIMZEY A,3045.5,19.393,0.557,15.196,15.332,,2,0.714 +7,B3 LM,KIMZEY A,3046,20.225,0.41,16.892,16.96,,2,0.643 +7,B3 LM,KIMZEY A,3046.5,21.419,0.404,18.267,16.3275,,2,0.571 +7,B3 LM,KIMZEY A,3047,24.123,0.459,18.817,15.6675,,2,0.5 +7,B3 LM,KIMZEY A,3047.5,25.921,0.628,16.699,14.3325,,2,0.429 +7,B3 LM,KIMZEY A,3048,27.676,0.486,14.91,13.659,,2,0.357 +7,B3 LM,KIMZEY A,3048.5,31.915,0.508,14.317,12.8555,,2,0.286 +7,B3 LM,KIMZEY A,3049,34.768,0.584,12.38,11.513,,2,0.214 +7,B3 LM,KIMZEY A,3049.5,41.164,0.623,10.124,10.385,,2,0.143 +7,B3 LM,KIMZEY A,3050,45.517,0.693,8.886,8.803,,2,0.071 +3,B4 SH,KIMZEY A,3050.5,54.149,0.699,7.648,8.652,,1,1 +2,B4 SH,KIMZEY A,3051,58.366,0.688,7.373,8.7895,,1,0.944 +2,B4 SH,KIMZEY A,3051.5,61.994,0.797,6.988,9.147,,1,0.889 +2,B4 SH,KIMZEY A,3052,65.071,0.83,7.593,10.2755,,1,0.833 +2,B4 SH,KIMZEY A,3052.5,67.312,0.753,9.133,11.4305,,1,0.778 +2,B4 SH,KIMZEY A,3053,67.322,0.65,11.279,11.7335,,1,0.722 +2,B4 SH,KIMZEY A,3053.5,63.599,0.612,14.085,11.4305,,1,0.667 +2,B4 SH,KIMZEY A,3054,59.174,0.584,14.46,11.848,,1,0.611 +2,B4 SH,KIMZEY A,3054.5,56.467,0.59,10.747,10.3515,,1,0.556 +2,B4 SH,KIMZEY A,3055,55.051,0.672,8.844,9.76,,1,0.5 +2,B4 SH,KIMZEY A,3055.5,55.424,0.715,9.346,10.161,,1,0.444 +2,B4 SH,KIMZEY A,3056,58.234,0.808,10.133,10.8845,,1,0.389 +2,B4 SH,KIMZEY A,3056.5,62.702,0.824,10.37,11.884,,1,0.333 +2,B4 SH,KIMZEY A,3057,65.107,0.715,10.388,12.993,,1,0.278 +2,B4 SH,KIMZEY A,3057.5,65.898,0.53,11.995,14.6215,,1,0.222 +2,B4 SH,KIMZEY A,3058,63.371,0.415,16.341,17.2355,,1,0.167 +3,B4 SH,KIMZEY A,3058.5,56.834,0.575,19.257,16.6575,,1,0.111 +3,B4 SH,KIMZEY A,3059,44.687,0.753,13.784,14.456,,1,0.056 +5,B4 LM,KIMZEY A,3059.5,31.567,0.939,7.263,11.8155,,2,1 +8,B4 LM,KIMZEY A,3060,23.967,1.39,5.667,4.6905,,2,0.909 +8,B4 LM,KIMZEY A,3060.5,22.997,1.642,5.282,3.287,,2,0.818 +8,B4 LM,KIMZEY A,3061,26.018,1.642,4.279,4.5215,,2,0.727 +8,B4 LM,KIMZEY A,3061.5,27.233,1.429,5.515,4.7795,,2,0.636 +8,B4 LM,KIMZEY A,3062,29.239,1.312,6.446,5.19,,2,0.545 +5,B4 LM,KIMZEY A,3062.5,31.972,1.15,6.162,6.424,,2,0.455 +5,B4 LM,KIMZEY A,3063,35.527,1.016,7.978,7.882,,2,0.364 +5,B4 LM,KIMZEY A,3063.5,39.981,0.923,7.208,9.477,,2,0.273 +5,B4 LM,KIMZEY A,3064,47.38,0.805,6.603,10.8255,,2,0.182 +5,B4 LM,KIMZEY A,3064.5,52.479,0.666,7.642,12.781,,2,0.091 +3,B5 SH,KIMZEY A,3065,58.378,0.562,5.337,15.0895,,1,1 +3,B5 SH,KIMZEY A,3065.5,58.378,0.562,5.337,15.0895,,1,1 +3,B5 SH,KIMZEY A,3066,66.469,0.454,7.923,20.0135,,1,0.875 +3,B5 SH,KIMZEY A,3066.5,69.387,0.388,10.894,22.82,,1,0.75 +3,B5 SH,KIMZEY A,3067,70.043,0.38,11.279,23.3425,,1,0.625 +3,B5 SH,KIMZEY A,3067.5,64.826,0.372,11.334,22.875,,1,0.5 +3,B5 SH,KIMZEY A,3068,59.546,0.383,9.409,22.6825,,1,0.375 +3,B5 SH,KIMZEY A,3068.5,53.408,0.41,9.959,21.3065,,1,0.25 +3,B5 SH,KIMZEY A,3069,48.476,0.577,10.344,19.904,,1,0.125 +8,B5 LM,KIMZEY A,3069.5,36.286,0.75,9.573,17.0975,,2,1 +8,B5 LM,KIMZEY A,3070,28.317,0.887,10.178,13.879,,2,0.979 +8,B5 LM,KIMZEY A,3070.5,21.848,0.974,6.438,11.678,,2,0.957 +8,B5 LM,KIMZEY A,3071,20.868,1.064,4.236,11.458,,2,0.936 +8,B5 LM,KIMZEY A,3071.5,23.699,1.097,5.834,11.597,,2,0.915 +8,B5 LM,KIMZEY A,3072,26.536,0.998,6.878,11.843,,2,0.894 +7,B5 LM,KIMZEY A,3072.5,28.892,0.909,6.131,13.5605,,2,0.872 +7,B5 LM,KIMZEY A,3073,32.816,0.797,8.913,14.5665,,2,0.851 +7,B5 LM,KIMZEY A,3073.5,32.489,0.646,11.829,15.8045,,2,0.83 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A,3082,68.815,0.437,4.402,18.143,,2,0.468 +7,B5 LM,KIMZEY A,3082.5,68.722,0.459,5.117,17.4005,,2,0.447 +7,B5 LM,KIMZEY A,3083,69.128,0.464,3.632,15.722,,2,0.426 +7,B5 LM,KIMZEY A,3083.5,68.031,0.448,4.402,14.677,,2,0.404 +7,B5 LM,KIMZEY A,3084,67.564,0.519,4.621,13.9615,,2,0.383 +7,B5 LM,KIMZEY A,3084.5,67.538,0.573,5.337,13.0535,,2,0.362 +7,B5 LM,KIMZEY A,3085,67.899,0.639,5.85,12.577,,2,0.34 +7,B5 LM,KIMZEY A,3085.5,69.154,0.595,6.013,11.9615,,2,0.319 +5,B5 LM,KIMZEY A,3086,79.88,0.75,7.373,10.4955,,2,0.298 +5,B5 LM,KIMZEY A,3086.5,86.869,0.857,5.832,8.349,,2,0.277 +5,B5 LM,KIMZEY A,3087,110.942,0.933,5.612,7.139,,2,0.255 +5,B5 LM,KIMZEY A,3087.5,121.438,0.988,6.933,5.8185,,2,0.234 +5,B5 LM,KIMZEY A,3088,136.644,0.982,7.235,5.8595,,2,0.213 +5,B5 LM,KIMZEY A,3088.5,146.732,0.933,5.887,7.1665,,2,0.191 +5,B5 LM,KIMZEY A,3089,140.154,0.748,12.6,8.597,,2,0.149 +5,B5 LM,KIMZEY A,3089.5,125.603,0.824,12.214,9.835,,2,0.128 +5,B5 LM,KIMZEY A,3090,99.08,0.868,10.674,10.055,,2,0.106 +5,B5 LM,KIMZEY A,3090.5,84.029,0.906,7.923,9.5595,,2,0.085 +5,B5 LM,KIMZEY A,3091,73.656,0.928,7.239,9.6265,,2,0.064 +6,B5 LM,KIMZEY A,3091.5,70.578,0.838,7.315,10.3035,,2,0.043 +6,B5 LM,KIMZEY A,3092,67.444,0.702,7.392,10.981,,2,0.021 +3,C SH,KIMZEY A,3092.5,67.301,0.597,9.233,13.0315,,1,1 +3,C SH,KIMZEY A,3093,67.494,0.535,9.574,15.887,,1,0.974 +3,C SH,KIMZEY A,3093.5,66.264,0.481,11.334,18.913,,1,0.947 +3,C SH,KIMZEY A,3094,64.66,0.503,13.108,18.026,,1,0.921 +3,C SH,KIMZEY A,3094.5,64.211,0.584,16.506,16.217,,1,0.895 +3,C SH,KIMZEY A,3095,63.453,0.595,14.911,16.0795,,1,0.868 +3,C SH,KIMZEY A,3095.5,62.923,0.606,15.155,15.5175,,1,0.842 +3,C SH,KIMZEY A,3096,62.614,0.677,14.196,15.282,,1,0.816 +3,C SH,KIMZEY A,3096.5,62.594,0.732,15.406,14.402,,1,0.789 +3,C SH,KIMZEY A,3097,62.785,0.791,17.277,13.9615,,1,0.763 +3,C SH,KIMZEY A,3097.5,65.317,0.742,16.892,14.209,,1,0.711 +3,C SH,KIMZEY A,3098,67.611,0.715,16.286,15.062,,1,0.684 +3,C SH,KIMZEY A,3098.5,66.572,0.699,15.516,15.667,,1,0.658 +3,C SH,KIMZEY A,3099,68.829,0.688,15.791,14.9795,,1,0.632 +3,C SH,KIMZEY A,3099.5,70.217,0.688,17.221,14.9245,,1,0.605 +2,C SH,KIMZEY A,3100,68.784,0.65,17.756,14.767,,1,0.579 +2,C SH,KIMZEY A,3100.5,70.812,0.623,17.973,15.1535,,1,0.553 +2,C SH,KIMZEY A,3101,70.526,0.612,18.492,15.83,,1,0.526 +2,C SH,KIMZEY A,3101.5,64.98,0.612,18.13,16.066,,1,0.5 +2,C SH,KIMZEY A,3102,67.636,0.672,16.726,16.107,,1,0.474 +2,C SH,KIMZEY A,3102.5,64.374,0.764,14.251,15.1995,,1,0.447 +2,C SH,KIMZEY A,3103,62.215,0.797,12.82,14.264,,1,0.421 +2,C SH,KIMZEY A,3103.5,60.814,0.808,13.425,13.5215,,1,0.395 +3,C SH,KIMZEY A,3104,60.884,0.742,14.361,12.3385,,1,0.368 +3,C SH,KIMZEY A,3104.5,62.554,0.764,15.24,11.623,,1,0.342 +2,C SH,KIMZEY A,3105,64.784,0.759,16.341,11.0725,,1,0.289 +2,C SH,KIMZEY A,3105.5,67.764,0.745,13.645,12.2555,,1,0.263 +2,C SH,KIMZEY A,3106,70.192,0.721,13.646,12.696,,1,0.237 +2,C SH,KIMZEY A,3106.5,71.594,0.699,13.535,13.1365,,1,0.211 +2,C SH,KIMZEY A,3107,70.705,0.672,13.425,13.4665,,1,0.184 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LM,KIMZEY A,3116.5,19.651,1.178,4.786,3.315,,2,0.857 +6,C LM,KIMZEY A,3117,21.289,1.206,4.786,3.535,,2,0.845 +6,C LM,KIMZEY A,3117.5,23.054,1.146,5.392,3.508,,2,0.833 +5,C LM,KIMZEY A,3118,24.473,1.282,5.888,3.37,,2,0.821 +5,C LM,KIMZEY A,3118.5,28.116,1.282,7.208,3.315,,2,0.81 +5,C LM,KIMZEY A,3119,31.275,1.129,8.363,3.6175,,2,0.798 +6,C LM,KIMZEY A,3119.5,34.781,1.02,9.024,5.103,,2,0.786 +6,C LM,KIMZEY A,3120,39.565,0.966,8.639,7.2765,,2,0.774 +6,C LM,KIMZEY A,3120.5,40.913,0.95,7.912,7.133,,2,0.762 +8,C LM,KIMZEY A,3121,41.211,0.95,7.593,6.4785,,2,0.75 +5,C LM,KIMZEY A,3121.5,39.653,0.966,8.06,5.942,,2,0.738 +5,C LM,KIMZEY A,3122,39.653,0.966,8.06,5.942,,2,0.738 +6,C LM,KIMZEY A,3122.5,37.346,1.004,6.878,5.956,,2,0.726 +5,C LM,KIMZEY A,3123,34.785,1.097,7.427,4.6905,,2,0.714 +6,C LM,KIMZEY A,3123.5,35.079,1.191,7.428,3.48,,2,0.702 +6,C LM,KIMZEY A,3124,37.081,1.269,5.612,2.847,,2,0.69 +6,C LM,KIMZEY A,3124.5,35.89,1.347,4.432,3.977,,2,0.679 +6,C LM,KIMZEY A,3125,33.215,1.347,3.742,4.663,,2,0.667 +6,C LM,KIMZEY A,3125.5,33.307,1.287,4.787,3.8105,,2,0.655 +6,C LM,KIMZEY A,3126,35.619,1.204,4.842,4.388,,2,0.643 +5,C LM,KIMZEY A,3126.5,36.917,1.02,4.677,5.6255,,2,0.631 +6,C LM,KIMZEY A,3127,33.366,1.026,5.255,6.3825,,2,0.619 +6,C LM,KIMZEY A,3127.5,26.31,1.217,4.02,6.233,,2,0.607 +6,C LM,KIMZEY A,3128,23.061,1.353,2.136,6.501,,2,0.595 +9,C LM,KIMZEY A,3128.5,20.498,1.505,1.321,6.4785,,2,0.583 +9,C LM,KIMZEY A,3129,19.037,1.451,2.056,7.122,,2,0.571 +9,C LM,KIMZEY A,3129.5,19.16,1.162,2.586,7.607,,2,0.56 +9,C LM,KIMZEY A,3130,20.461,1.031,2.503,8.6935,,2,0.548 +9,C LM,KIMZEY A,3130.5,23.425,0.791,4.017,9.9725,,2,0.536 +9,C LM,KIMZEY A,3131,31.562,0.759,5.805,9.5265,,2,0.524 +9,C LM,KIMZEY A,3131.5,43.298,0.759,6.603,8.8445,,2,0.512 +6,C LM,KIMZEY A,3132,60.579,0.77,7.675,8.3355,,2,0.5 +4,C LM,KIMZEY A,3132.5,65.001,0.737,8.473,9.2295,,2,0.488 +4,C LM,KIMZEY A,3133,65.014,0.677,9.904,12.311,,2,0.476 +4,C LM,KIMZEY A,3133.5,61.49,0.688,10.134,12.141,,2,0.464 +4,C LM,KIMZEY A,3134,63.557,0.721,11.019,12.1385,,2,0.452 +4,C LM,KIMZEY A,3134.5,66.737,0.693,11.581,12.1595,,2,0.44 +4,C LM,KIMZEY A,3135,69.863,0.683,10.454,12.916,,2,0.429 +4,C LM,KIMZEY A,3135.5,79.245,0.677,10.619,12.9435,,2,0.417 +4,C LM,KIMZEY A,3136,86.023,0.688,10.949,11.7335,,2,0.405 +6,C LM,KIMZEY A,3136.5,101.037,0.732,10.179,12.0085,,2,0.393 +6,C LM,KIMZEY A,3137,153.374,0.748,8.198,13.439,,2,0.381 +6,C LM,KIMZEY A,3137.5,144.117,0.672,9.188,13.439,,2,0.369 +4,C LM,KIMZEY A,3138,245.36,0.721,9.642,13.927,,2,0.357 +2,A1 SH,CROSS H CATTLE,2573.5,118.439,0.674493717,6.3,9.95,3.631,1,1 +2,A1 SH,CROSS H CATTLE,2574,92.55,0.645225712,9.9,13.05,3.45,1,0.987 +2,A1 SH,CROSS H CATTLE,2574.5,102.168,0.630020851,12,14.5,3.364,1,0.974 +2,A1 SH,CROSS H CATTLE,2575,88.898,0.60031933,15.1,16.05,3.187,1,0.961 +2,A1 SH,CROSS H CATTLE,2575.5,85.493,0.57863921,13.6,15.9,3.099,1,0.947 +2,A1 SH,CROSS H CATTLE,2576,82.802,0.569958818,13,14.9,3.069,1,0.934 +2,A1 SH,CROSS H CATTLE,2576.5,84.257,0.576456532,12.7,14.35,3.077,1,0.921 +2,A1 SH,CROSS H CATTLE,2577,85.349,0.592731766,12.8,14.7,3.101,1,0.908 +2,A1 SH,CROSS H CATTLE,2577.5,84.317,0.610660163,13.5,15.15,3.078,1,0.895 +2,A1 SH,CROSS H CATTLE,2578,83.495,0.623766,13.4,15.1,3.062,1,0.882 +2,A1 SH,CROSS H CATTLE,2578.5,83.696,0.630427875,12.7,14.75,3.074,1,0.868 +2,A1 SH,CROSS H CATTLE,2579,82.766,0.631342286,12.6,14.4,3.114,1,0.855 +2,A1 SH,CROSS H CATTLE,2579.5,85.311,0.629817196,12.3,13.95,3.133,1,0.842 +2,A1 SH,CROSS H CATTLE,2580,87.297,0.627365857,12.1,13.65,3.136,1,0.829 +2,A1 SH,CROSS H CATTLE,2580.5,85.494,0.622317661,11.6,13.3,3.173,1,0.816 +2,A1 SH,CROSS H CATTLE,2581,82.907,0.613841822,11.3,13.05,3.179,1,0.803 +2,A1 SH,CROSS H CATTLE,2581.5,84.398,0.602819342,10.3,12.75,3.121,1,0.789 +2,A1 SH,CROSS H CATTLE,2582,81.723,0.592176757,9.2,12.6,3.077,1,0.776 +2,A1 SH,CROSS H CATTLE,2582.5,83.501,0.583538819,8,12.3,3.058,1,0.763 +2,A1 SH,CROSS H CATTLE,2583,88.667,0.575072326,7.6,12.3,3.067,1,0.75 +2,A1 SH,CROSS H CATTLE,2583.5,93.129,0.562887381,8,12.8,3.105,1,0.737 +2,A1 SH,CROSS H CATTLE,2584,90.255,0.542202782,8.8,13.4,3.127,1,0.724 +2,A1 SH,CROSS H CATTLE,2584.5,87.152,0.510276844,9.6,13.8,3.154,1,0.711 +1,A1 SH,CROSS H CATTLE,2585,76.105,0.469085299,9.5,13.55,3.211,1,0.697 +1,A1 SH,CROSS H CATTLE,2585.5,68.911,0.419460073,9,12.9,3.281,1,0.684 +1,A1 SH,CROSS H CATTLE,2586,60.968,0.366982976,9.1,12.25,3.251,1,0.671 +1,A1 SH,CROSS H CATTLE,2586.5,58.121,0.314709693,9.6,11.8,3.167,1,0.658 +1,A1 SH,CROSS H CATTLE,2587,58.57,0.260548373,9.2,12.3,3.159,1,0.645 +1,A1 SH,CROSS H CATTLE,2587.5,57.287,0.211921084,8.4,13,3.119,1,0.632 +1,A1 SH,CROSS H CATTLE,2588,60.771,0.172310969,7.5,14.25,3.022,1,0.618 +1,A1 SH,CROSS H CATTLE,2588.5,64.147,0.1430148,6.7,15.75,2.928,1,0.605 +1,A1 SH,CROSS H CATTLE,2589,61.211,0.123524981,5.5,16.95,2.892,1,0.592 +1,A1 SH,CROSS H CATTLE,2589.5,63.105,0.111262514,4.2,17.8,2.892,1,0.579 +1,A1 SH,CROSS H CATTLE,2590,54.482,0.099335278,3.6,17.2,2.895,1,0.553 +1,A1 SH,CROSS H CATTLE,2590.5,57.7,0.095866453,4.4,16.6,2.886,1,0.539 +1,A1 SH,CROSS H CATTLE,2591,62.74,0.091666958,5,16.7,2.881,1,0.526 +1,A1 SH,CROSS H CATTLE,2591.5,61.915,0.084218687,4.9,17.35,2.838,1,0.513 +1,A1 SH,CROSS H CATTLE,2592,60.425,0.071882007,4.4,18.6,2.754,1,0.5 +1,A1 SH,CROSS H CATTLE,2592.5,58.017,0.055760465,3.8,19.6,2.686,1,0.487 +1,A1 SH,CROSS H CATTLE,2593,55.815,0.03702788,4,20.1,2.617,1,0.474 +1,A1 SH,CROSS H CATTLE,2593.5,58.413,-0.004364805,2.3,20.25,2.574,1,0.434 +1,A1 SH,CROSS H CATTLE,2594,60.306,-0.011441043,2.2,19.9,2.571,1,0.421 +1,A1 SH,CROSS H CATTLE,2594.5,60.198,-0.015922966,2.3,19.95,2.556,1,0.408 +1,A1 SH,CROSS H CATTLE,2595,56.657,-0.019088062,2.8,20.1,2.552,1,0.395 +1,A1 SH,CROSS H CATTLE,2595.5,59.459,-0.022733788,2.9,20.25,2.514,1,0.382 +1,A1 SH,CROSS H CATTLE,2596,59.586,-0.025949097,3.1,20.45,2.508,1,0.368 +1,A1 SH,CROSS H CATTLE,2596.5,58.077,-0.025949097,3.3,20.65,2.516,1,0.355 +1,A1 SH,CROSS H CATTLE,2597,59.244,-0.019088062,3.4,20.5,2.581,1,0.342 +1,A1 SH,CROSS H CATTLE,2597.5,60.552,-0.002613616,3.3,20.45,2.589,1,0.329 +2,A1 SH,CROSS H CATTLE,2598,63.458,0.02201574,3.6,20.2,2.629,1,0.316 +2,A1 SH,CROSS H CATTLE,2598.5,66.977,0.055378331,4.2,20.1,2.694,1,0.303 +2,A1 SH,CROSS H CATTLE,2599,74.958,0.095518042,4.3,19.55,2.702,1,0.289 +2,A1 SH,CROSS H CATTLE,2599.5,80.42,0.13893394,3.8,18.3,2.694,1,0.276 +2,A1 SH,CROSS H CATTLE,2600,86.667,0.181843588,4.9,17.05,2.726,1,0.263 +1,A1 SH,CROSS H CATTLE,2600.5,92.343,0.222196046,6,16.7,2.769,1,0.25 +1,A1 SH,CROSS H CATTLE,2601,79.336,0.283074975,7.4,17.9,2.844,1,0.224 +1,A1 SH,CROSS H CATTLE,2601.5,70.243,0.292034436,7,17.2,2.892,1,0.211 +1,A1 SH,CROSS H CATTLE,2602,63.513,0.287353773,7.1,15.75,2.882,1,0.197 +1,A1 SH,CROSS H CATTLE,2602.5,65.541,0.273464273,6.3,15.35,2.892,1,0.184 +1,A1 SH,CROSS H CATTLE,2603,66.595,0.259593879,5.6,15.4,2.912,1,0.171 +1,A1 SH,CROSS H CATTLE,2603.5,71.108,0.249931757,5.2,15.9,2.835,1,0.158 +2,A1 SH,CROSS H CATTLE,2604,75.609,0.247482261,5.1,16.25,2.781,1,0.145 +2,A1 SH,CROSS H CATTLE,2604.5,81.872,0.255272505,5.1,16.15,2.777,1,0.132 +3,A1 SH,CROSS H CATTLE,2605,90.061,0.273464273,6.4,16.2,2.817,1,0.118 +2,A1 SH,CROSS H CATTLE,2605.5,95.985,0.300812794,6,18.3,2.74,1,0.105 +2,A1 SH,CROSS H CATTLE,2606,97.149,0.33405144,2.8,23.5,2.635,1,0.092 +2,A1 SH,CROSS H CATTLE,2606.5,95.986,0.370698093,5,25.9,2.662,1,0.079 +2,A1 SH,CROSS H CATTLE,2607,88.553,0.407560849,3.4,24.8,2.735,1,0.066 +2,A1 SH,CROSS H CATTLE,2607.5,86.023,0.471291711,7,15.6,2.956,1,0.039 +2,A1 SH,CROSS H CATTLE,2608,88.06,0.503245771,9.7,13.25,3.158,1,0.026 +8,A1 SH,CROSS H CATTLE,2608.5,85.898,0.540454614,5.1,16.05,3.099,1,0.013 +8,A1 LM,CROSS H CATTLE,2609,79.427,0.581038949,2.3,19.75,3.154,2,1 +8,A1 LM,CROSS H CATTLE,2609.5,64.6,0.620552445,2.9,20.95,3.277,2,0.977 +8,A1 LM,CROSS H 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CATTLE,2617,84.082,0.904553263,-0.4,13.8,3.45,2,0.636 +6,A1 LM,CROSS H CATTLE,2617.5,72.325,0.924434364,-0.9,14.85,3.427,2,0.614 +8,A1 LM,CROSS H CATTLE,2618,53.939,0.940516485,-3,13.9,3.358,2,0.591 +8,A1 LM,CROSS H CATTLE,2618.5,44.042,0.960851154,-4.4,10.6,3.343,2,0.568 +8,A1 LM,CROSS H CATTLE,2619,47.244,0.99237676,-2.7,7.55,3.528,2,0.545 +6,A1 LM,CROSS H CATTLE,2619.5,54.919,1.033463966,-1.1,6.75,3.841,2,0.523 +6,A1 LM,CROSS H CATTLE,2620,66.397,1.081995025,-0.6,6.5,3.985,2,0.5 +6,A1 LM,CROSS H CATTLE,2620.5,77.704,1.120705516,-0.3,6.55,4.171,2,0.477 +6,A1 LM,CROSS H CATTLE,2621,84.144,1.14245204,0.8,6.3,4.313,2,0.455 +6,A1 LM,CROSS H CATTLE,2621.5,82.835,1.147026715,2.1,6.05,4.365,2,0.432 +5,A1 LM,CROSS H CATTLE,2622,77.283,1.141575183,3.3,6.25,4.362,2,0.409 +5,A1 LM,CROSS H CATTLE,2622.5,74.363,1.132483825,5.5,6.65,4.305,2,0.386 +5,A1 LM,CROSS H CATTLE,2623,75.024,1.126423654,7.8,7.1,4.188,2,0.364 +5,A1 LM,CROSS H CATTLE,2623.5,77.016,1.12083706,8.3,7.25,4.147,2,0.341 +5,A1 LM,CROSS H CATTLE,2624,79.224,1.111967837,6.7,6.65,4.128,2,0.318 +6,A1 LM,CROSS H CATTLE,2624.5,77.067,1.09961159,4.6,6.2,4.203,2,0.295 +8,A1 LM,CROSS H CATTLE,2625,71.623,1.086644521,3.3,5.95,4.296,2,0.273 +8,A1 LM,CROSS H CATTLE,2625.5,63.68,1.07773118,2.2,6.3,4.436,2,0.25 +8,A1 LM,CROSS H CATTLE,2626,66.183,1.073498399,1.9,6.85,4.525,2,0.227 +8,A1 LM,CROSS H CATTLE,2626.5,68.669,1.074560468,1.7,7.05,4.633,2,0.205 +6,A1 LM,CROSS H CATTLE,2627,76.803,1.08546897,1.9,6.65,4.612,2,0.182 +6,A1 LM,CROSS H CATTLE,2627.5,81.088,1.107345665,1.9,6.25,4.6,2,0.159 +5,A1 LM,CROSS H CATTLE,2628,85.869,1.13219563,2.3,5.75,4.549,2,0.136 +6,A1 LM,CROSS H CATTLE,2628.5,81.391,1.146314122,3.6,5.3,4.442,2,0.114 +6,A1 LM,CROSS H CATTLE,2629,75.871,1.115244285,4.2,5.3,4.256,2,0.091 +6,A1 LM,CROSS H CATTLE,2629.5,69.179,1.02341709,3.4,6,4.001,2,0.068 +6,A1 LM,CROSS H CATTLE,2630,73.616,0.888740961,2.9,7.05,3.812,2,0.045 +6,A1 LM,CROSS H CATTLE,2630.5,73.916,0.770189023,2.4,8.9,3.542,2,0.023 +3,B1 SH,CROSS H CATTLE,2631,87.408,0.678700435,-1.8,14.4,3.101,1,1 +3,B1 SH,CROSS H CATTLE,2632.5,122.568,0.578753784,-16.4,71.7,0.99,1,0.955 +2,B1 SH,CROSS H CATTLE,2633,120.345,0.568319085,2,84.4,0.833,1,0.939 +2,B1 SH,CROSS H CATTLE,2633.5,109.836,0.56205483,1.5,81.65,0.852,1,0.924 +2,B1 SH,CROSS H CATTLE,2634,94.623,0.566437492,-10.3,65.85,1.234,1,0.909 +2,B1 SH,CROSS H CATTLE,2634.5,85.419,0.593396842,-14.5,50.85,1.787,1,0.894 +2,B1 SH,CROSS H CATTLE,2635,79.451,0.649042634,-13.6,39.4,2.36,1,0.879 +2,B1 SH,CROSS H CATTLE,2635.5,73.811,0.728678367,-11,31.6,2.806,1,0.864 +2,B1 SH,CROSS H CATTLE,2636,69.518,0.812646016,-5.5,23.85,3.236,1,0.848 +2,B1 SH,CROSS H CATTLE,2636.5,62.166,0.879497287,-1.7,17.85,3.542,1,0.833 +2,B1 SH,CROSS H CATTLE,2637,59.183,0.90982337,2.2,13.5,3.762,1,0.818 +2,B1 SH,CROSS H CATTLE,2637.5,61.178,0.899163641,3.9,10.35,3.803,1,0.803 +2,B1 SH,CROSS H CATTLE,2638,63.124,0.870637963,6.5,8.15,3.8,1,0.788 +2,B1 SH,CROSS H CATTLE,2638.5,68.801,0.837272703,9.7,7.45,3.776,1,0.773 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CATTLE,2716.5,78.993,0.326949994,4.3,14.35,3.084,1,0.2 +1,B3 SH,CROSS H CATTLE,2717,82.324,0.33725954,4.3,14.65,3.049,1,0.18 +1,B3 SH,CROSS H CATTLE,2717.5,86.724,0.353531559,4.4,14.5,3.011,1,0.16 +2,B3 SH,CROSS H CATTLE,2718,91.378,0.372727941,3.9,15.65,2.956,1,0.14 +2,B3 SH,CROSS H CATTLE,2718.5,93.209,0.395675785,-7.1,22.85,2.692,1,0.12 +2,B3 SH,CROSS H CATTLE,2719,99.065,0.419790586,-8.9,27.15,2.627,1,0.1 +3,B3 SH,CROSS H CATTLE,2719.5,100.457,0.444513206,-6.4,29,2.722,1,0.08 +3,B3 SH,CROSS H CATTLE,2720,93.08,0.46612587,-6.3,29.65,2.857,1,0.06 +2,B4 SH,CROSS H CATTLE,2720.5,84.469,0.481299273,-2.8,26.3,3.057,1,0.04 +2,B4 SH,CROSS H CATTLE,2721,78.955,0.484726804,5.8,21,3.365,1,0.02 +2,B4 SH,CROSS H CATTLE,2721.5,74.66,0.474653253,9,17.7,3.515,1,1 +2,B4 SH,CROSS H CATTLE,2721.5,74.66,0.474653253,9,17.7,3.515,2,1 +2,B4 SH,CROSS H CATTLE,2722,72.493,0.45331834,11.2,14.1,3.513,1,0.982 +2,B4 SH,CROSS H CATTLE,2722.5,71.798,0.421768401,9.8,13.1,3.388,1,0.964 +2,B4 SH,CROSS H CATTLE,2723,68.403,0.386677284,7.5,12.85,3.256,1,0.946 +2,B4 SH,CROSS H CATTLE,2723.5,65.671,0.350441857,7,12.5,3.145,1,0.929 +1,B4 SH,CROSS H CATTLE,2724,61.233,0.317645543,7,12.4,3.013,1,0.911 +1,B4 SH,CROSS H CATTLE,2724.5,56.061,0.286680969,4.9,14.35,2.841,1,0.893 +1,B4 SH,CROSS H CATTLE,2725,55.568,0.260071388,4.7,16.15,2.776,1,0.875 +1,B4 SH,CROSS H CATTLE,2725.5,51.105,0.236789099,4.3,17.75,2.718,1,0.857 +1,B4 SH,CROSS H CATTLE,2726,48.131,0.219584526,2.9,17.65,2.705,1,0.839 +1,B4 SH,CROSS H CATTLE,2726.5,52.326,0.206556044,1.1,16.95,2.708,1,0.821 +1,B4 SH,CROSS H CATTLE,2727,53.823,0.197556213,0.6,16.2,2.762,1,0.804 +1,B4 SH,CROSS H CATTLE,2727.5,56.018,0.191171456,1.1,15.75,2.831,1,0.786 +1,B4 SH,CROSS H CATTLE,2728,56.541,0.183554534,1,15.6,2.885,1,0.768 +1,B4 SH,CROSS H CATTLE,2728.5,54.188,0.173186268,1.1,15.75,2.953,1,0.75 +1,B4 SH,CROSS H CATTLE,2729,54.345,0.160168293,1.4,16.2,2.975,1,0.732 +1,B4 SH,CROSS H CATTLE,2729.5,54.682,0.145507171,2.1,16.85,2.965,1,0.714 +1,B4 SH,CROSS H CATTLE,2730,58.663,0.13225969,2.6,17.6,2.954,1,0.696 +1,B4 SH,CROSS H CATTLE,2730.5,64.45,0.12515583,3.7,18.15,2.967,1,0.679 +1,B4 SH,CROSS H CATTLE,2731,63.074,0.12515583,4.5,18.25,2.916,1,0.661 +1,B4 SH,CROSS H CATTLE,2731.5,62.461,0.136403448,4.4,18.2,2.883,1,0.643 +1,B4 SH,CROSS H CATTLE,2732,61.969,0.157456768,4.2,17.8,2.863,1,0.625 +1,B4 SH,CROSS H CATTLE,2732.5,62.436,0.18582536,3.7,17.25,2.887,1,0.607 +1,B4 SH,CROSS H CATTLE,2733,74.047,0.218797998,3.9,16.55,2.893,1,0.589 +1,B4 SH,CROSS H CATTLE,2733.5,84.98,0.2509077,4.7,15.75,2.885,1,0.571 +2,B4 SH,CROSS H CATTLE,2734,95.575,0.278524965,5.5,15.35,2.879,1,0.554 +2,B4 SH,CROSS H CATTLE,2734.5,96.582,0.294245716,6.5,15.05,2.872,1,0.536 +1,B4 SH,CROSS H CATTLE,2735,89.201,0.29578694,6.9,15.35,2.841,1,0.518 +1,B4 SH,CROSS H CATTLE,2735.5,77.631,0.284656283,6.3,15.15,2.845,1,0.5 +1,B4 SH,CROSS H CATTLE,2736,67.782,0.267640982,4.6,15,2.837,1,0.482 +1,B4 SH,CROSS H CATTLE,2736.5,60.967,0.251881455,3.6,15.2,2.82,1,0.464 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CATTLE,2750.5,51.12,0.559068334,2,20,3.32,2,0.9 +8,B4 LM,CROSS H CATTLE,2751,37.073,0.611085733,4.4,16.5,3.715,2,0.8 +8,B4 LM,CROSS H CATTLE,2751.5,26.393,0.657820456,6,10.4,3.97,2,0.7 +8,B4 LM,CROSS H CATTLE,2752,22.444,0.685920792,4.6,6.4,4.177,2,0.6 +6,B4 LM,CROSS H CATTLE,2752.5,23.628,0.692318044,5.5,3.25,4.305,2,0.5 +6,B4 LM,CROSS H CATTLE,2753,25.698,0.682325619,4.7,2.95,4.388,2,0.4 +6,B4 LM,CROSS H CATTLE,2753.5,38.392,0.66143405,3.7,4.35,4.193,2,0.3 +6,B4 LM,CROSS H CATTLE,2754,54.121,0.640580806,0.4,8.7,3.496,2,0.2 +3,B5 SH,CROSS H CATTLE,2754.5,64.146,0.621799224,-18.7,23.45,2.502,2,0.1 +2,B5 SH,CROSS H CATTLE,2757,74.567,0.537441283,-8.1,17.75,2.736,1,0.808 +2,B5 SH,CROSS H CATTLE,2757.5,79.038,0.543695632,5.4,10.2,3.13,1,0.769 +2,B5 SH,CROSS H CATTLE,2758,83.075,0.550228353,2.7,13.35,2.941,1,0.731 +2,B5 SH,CROSS H CATTLE,2758.5,86.756,0.550717423,-12.8,25.1,2.358,1,0.692 +3,B5 SH,CROSS H CATTLE,2759,89.346,0.540954809,-18.1,33.55,2.155,1,0.654 +3,B5 SH,CROSS H CATTLE,2759.5,85.942,0.524915148,-16.5,39.85,2.099,1,0.615 +3,B5 SH,CROSS H CATTLE,2760,86.528,0.507180977,-16.5,41.35,2.15,1,0.577 +3,B5 SH,CROSS H CATTLE,2760.5,91.581,0.496098992,-18.6,38.7,2.311,1,0.538 +3,B5 SH,CROSS H CATTLE,2761,104.216,0.495821753,-14.3,33.35,2.7,1,0.5 +3,B5 SH,CROSS H CATTLE,2761.5,103.144,0.505556939,-10.7,31.05,2.907,1,0.462 +3,B5 SH,CROSS H CATTLE,2762,99.94,0.526210004,-3.3,28.45,3.141,1,0.423 +3,B5 SH,CROSS H CATTLE,2762.5,95.45,0.552668216,1.7,24.85,3.388,1,0.385 +3,B5 SH,CROSS H CATTLE,2763,81.581,0.581152892,-0.6,23.3,3.44,1,0.346 +3,B5 SH,CROSS H CATTLE,2763.5,76.264,0.591843411,5.5,18.85,3.708,1,0.269 +3,B5 SH,CROSS H CATTLE,2764,75.003,0.540079089,5.7,17.85,3.662,1,0.231 +3,B5 SH,CROSS H CATTLE,2764.5,74.701,0.46746011,7.9,16.65,3.628,1,0.192 +3,B5 SH,CROSS H CATTLE,2765,77.666,0.384532615,5.2,18.1,3.201,1,0.154 +5,B5 SH,CROSS H CATTLE,2765.5,75.264,0.326130957,-10.6,27.6,2.605,1,0.115 +5,B5 SH,CROSS H CATTLE,2766,72.4,0.289811839,-14.8,32.3,2.436,1,0.077 +3,B5 SH,CROSS H CATTLE,2766.5,70.61,0.268577972,-15.2,35.2,2.453,1,0.038 +7,B5 LM,CROSS H CATTLE,2767,57.971,0.254789687,-14.6,33.6,2.572,2,1 +7,B5 LM,CROSS H CATTLE,2767.5,46.746,0.241795431,-9,25.7,3.046,2,0.95 +8,B5 LM,CROSS H CATTLE,2768,43.446,0.241546481,0.9,17.15,3.804,2,0.9 +8,B5 LM,CROSS H CATTLE,2768.5,42.124,0.263636069,5.2,14.1,4.125,2,0.85 +8,B5 LM,CROSS H CATTLE,2769,46.923,0.311541958,6.1,13.05,4.369,2,0.8 +8,B5 LM,CROSS H CATTLE,2769.5,64.814,0.379849179,5.2,13,4.438,2,0.75 +8,B5 LM,CROSS H CATTLE,2770,79.274,0.45591024,5,12.4,4.31,2,0.7 +8,B5 LM,CROSS H CATTLE,2770.5,88.073,0.529430354,4.7,12.05,4.357,2,0.65 +8,B5 LM,CROSS H CATTLE,2771,91.345,0.577031986,4.8,11.6,4.317,2,0.6 +8,B5 LM,CROSS H CATTLE,2771.5,91.434,0.597914471,4.8,11.3,4.397,2,0.55 +8,B5 LM,CROSS H CATTLE,2772,88.002,0.602059991,4.8,10.5,4.498,2,0.5 +8,B5 LM,CROSS H CATTLE,2772.5,85.405,0.59900924,4,10.1,4.544,2,0.45 +8,B5 LM,CROSS H CATTLE,2773,84.348,0.596157081,4.4,10.3,4.503,2,0.4 +8,B5 LM,CROSS H CATTLE,2773.5,89.329,0.59117595,5,10.8,4.455,2,0.35 +8,B5 LM,CROSS H CATTLE,2774,85.469,0.581152892,5.2,11.3,4.376,2,0.3 +8,B5 LM,CROSS H CATTLE,2774.5,84.193,0.564902673,4.7,11.05,4.28,2,0.25 +8,B5 LM,CROSS H CATTLE,2775,89.404,0.542825427,5.2,10.4,4.126,2,0.2 +8,B5 LM,CROSS H CATTLE,2775.5,89.947,0.521138084,6.4,9.8,3.921,2,0.15 +8,B5 LM,CROSS H CATTLE,2776,97.878,0.504334912,7.8,10.3,3.823,2,0.1 +8,B5 LM,CROSS H CATTLE,2776.5,106.475,0.494154594,9.7,11.55,3.77,2,0.05 +8,B5 LM,CROSS H CATTLE,2777,110.121,0.488832634,4,16.6,3.331,1,1 +8,B5 LM,CROSS H CATTLE,2777.5,111.355,0.488127496,-11.5,27.45,2.72,1,0.984 +5,B5 LM,CROSS H CATTLE,2778,104.598,0.487421211,-12.3,31.95,2.558,1,0.968 +3,C SH,CROSS H CATTLE,2778.5,101.945,0.486005186,-12.3,33.35,2.573,1,0.952 +3,C SH,CROSS H CATTLE,2779,96.726,0.483587297,-12.6,33.3,2.552,1,0.935 +3,C SH,CROSS H CATTLE,2779.5,93.814,0.48029446,-8.3,30.75,2.568,1,0.919 +3,C SH,CROSS H CATTLE,2780,88.686,0.478277832,-6.3,30.35,2.68,1,0.903 +3,C SH,CROSS H CATTLE,2780.5,88.001,0.479863113,-7,31.3,2.72,1,0.887 +3,C SH,CROSS H CATTLE,2781,85.241,0.486572151,-7.9,32.85,2.622,1,0.871 +3,C SH,CROSS H CATTLE,2781.5,80.347,0.498861689,-10.3,35.05,2.482,1,0.855 +3,C SH,CROSS H CATTLE,2782,81.821,0.514149134,-12.4,37.9,2.337,1,0.839 +3,C SH,CROSS H CATTLE,2782.5,79.776,0.527758753,-18.2,41.1,2.116,1,0.823 +3,C SH,CROSS H CATTLE,2788,75.107,0.480725379,-16,75.5,0.646,1,0.645 +3,C SH,CROSS H CATTLE,2793.5,88.53,0.635584266,-12.9,33.55,2.682,1,0.468 +3,C SH,CROSS H CATTLE,2794,82.132,0.629409599,-6.3,28.75,3.064,1,0.452 +3,C SH,CROSS H CATTLE,2794.5,79.53,0.624282096,-2.9,25.35,3.142,1,0.435 +2,C SH,CROSS H CATTLE,2795,81.196,0.621280168,-1.4,22.2,3.235,1,0.419 +3,C SH,CROSS H CATTLE,2795.5,81.671,0.618675539,1.3,17.95,3.343,1,0.403 +2,C SH,CROSS H CATTLE,2796,81.994,0.617314933,7.7,13.35,3.624,1,0.387 +2,C SH,CROSS H CATTLE,2796.5,77.9,0.61898892,10.1,12.15,3.645,1,0.371 +2,C SH,CROSS H CATTLE,2797,77.672,0.622731965,1.7,17.95,3.391,1,0.355 +2,C SH,CROSS H CATTLE,2797.5,78.003,0.624591459,1.1,20.15,3.366,1,0.339 +2,C SH,CROSS H CATTLE,2798,79.786,0.621902961,0.7,20.85,3.395,1,0.323 +2,C SH,CROSS H CATTLE,2798.5,85.068,0.615107987,1.4,19.1,3.479,1,0.306 +2,C SH,CROSS H CATTLE,2799,90.082,0.605412798,4.9,16.35,3.52,1,0.29 +2,C SH,CROSS H CATTLE,2799.5,90.381,0.592953572,10.2,13.2,3.749,1,0.274 +2,C SH,CROSS H CATTLE,2800,90.296,0.578982843,10.2,13.1,3.794,1,0.258 +2,C SH,CROSS H CATTLE,2800.5,85.317,0.565257343,11.9,13.75,3.776,1,0.242 +2,C SH,CROSS H CATTLE,2801,84.741,0.549248557,10.1,17.05,3.599,1,0.226 +2,C SH,CROSS H CATTLE,2801.5,81.491,0.539703239,4.4,22.6,3.399,1,0.21 +2,C SH,CROSS H CATTLE,2802,85.146,0.536684673,0.4,25,3.19,1,0.194 +2,C SH,CROSS H CATTLE,2802.5,83.997,0.538070787,-3.9,27.25,2.934,1,0.177 +2,C SH,CROSS H CATTLE,2803,84.214,0.541454429,-10,30.5,2.647,1,0.161 +2,C SH,CROSS H CATTLE,2803.5,80.845,0.537567257,-11.6,31.7,2.526,1,0.145 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LM,NOLAN,2985.5,66.813,0.567,6.296,23.489,3.065,1,0.083 +8,B4 LM,NOLAN,2986,38.781,0.588,1.993,17.245,4.199,1,0.042 +8,B4 LM,NOLAN,2986.5,21.016,0.611,-0.483,11.225,5.238,2,1 +8,B4 LM,NOLAN,2987,17.484,0.665,0.898,6.67,5.551,2,0.9 +8,B4 LM,NOLAN,2987.5,16.234,0.753,-0.429,6.483,5.336,2,0.8 +8,B4 LM,NOLAN,2988,16.672,0.832,-0.616,6.524,5.586,2,0.7 +8,B4 LM,NOLAN,2988.5,20.172,0.903,1.022,6.449,4.809,2,0.6 +4,B4 LM,NOLAN,2989,26.953,0.949,2.365,7.108,4.602,2,0.5 +5,B4 LM,NOLAN,2989.5,37.594,0.931,2.837,7.124,4.586,2,0.4 +5,B4 LM,NOLAN,2990,41.188,0.838,2.13,6.756,5.32,2,0.3 +5,B4 LM,NOLAN,2990.5,43.531,0.684,1.667,5.608,5.254,2,0.2 +6,B4 LM,NOLAN,2991,42.594,0.524,2.746,8.29,3.469,2,0.1 +6,B4 LM,NOLAN,2991.5,54.031,0.385,3.715,15.084,2.94,1,1 +3,B5 SH,NOLAN,2992,69.5,0.269,6.086,22.478,2.617,1,0.875 +3,B5 SH,NOLAN,2992.5,74.625,0.182,6.257,24.017,2.855,1,0.75 +3,B5 SH,NOLAN,2993,63.75,0.114,7.445,23.609,2.914,1,0.625 +3,B5 SH,NOLAN,2993.5,49.469,0.056,9.376,23.827,2.998,1,0.5 +3,B5 SH,NOLAN,2994,47.656,0.012,9.334,24.357,3.092,1,0.375 +3,B5 SH,NOLAN,2994.5,49.375,-0.013,8.292,23.544,3.191,1,0.25 +4,B5 LM,NOLAN,2995,48.031,-0.019,5.381,20.059,3.592,1,0.125 +8,B5 LM,NOLAN,2995.5,43.25,-0.012,3.818,17.813,4.191,2,1 +8,B5 LM,NOLAN,2996,35.844,0.014,2.117,17.024,4.93,2,0.972 +8,B5 LM,NOLAN,2996.5,28.859,0.046,1.619,17.326,5.102,2,0.944 +8,B5 LM,NOLAN,2997,22.609,0.077,1.674,17.955,5.156,2,0.917 +8,B5 LM,NOLAN,2997.5,22.188,0.098,1.674,17.955,5.156,2,0.889 +8,B5 LM,NOLAN,2998,22.266,0.102,0.886,17.962,5.254,2,0.861 +8,B5 LM,NOLAN,2998.5,30.328,0.098,0.404,18.053,5.102,2,0.833 +8,B5 LM,NOLAN,2999,35.313,0.1,0.103,17.524,4.805,2,0.806 +8,B5 LM,NOLAN,2999.5,46.313,0.118,0.657,17.166,4.613,2,0.778 +8,B5 LM,NOLAN,3000,56.594,0.152,0.772,17.392,5.074,2,0.75 +8,B5 LM,NOLAN,3000.5,64.938,0.192,0.79,16.153,6.371,2,0.722 +8,B5 LM,NOLAN,3001,65,0.225,1.096,13.26,8.063,2,0.694 +8,B5 LM,NOLAN,3001.5,66.438,0.249,2.656,9.112,7.172,2,0.667 +8,B5 LM,NOLAN,3002,80.5,0.265,4.468,7.153,6.094,2,0.639 +8,B5 LM,NOLAN,3002.5,93.313,0.282,5.942,8.17,5.77,2,0.611 +8,B5 LM,NOLAN,3003,103.125,0.295,5.154,11.154,5.332,2,0.583 +8,B5 LM,NOLAN,3003.5,114.25,0.281,4.109,14.104,5.07,2,0.556 +8,B5 LM,NOLAN,3004,131.625,0.252,2.51,15.703,5.094,2,0.528 +8,B5 LM,NOLAN,3004.5,141.75,0.22,1.815,16.154,5.465,2,0.5 +8,B5 LM,NOLAN,3005,129.5,0.192,1.351,15.69,5.82,2,0.472 +8,B5 LM,NOLAN,3005.5,120.25,0.176,1.303,15.982,5.324,2,0.444 +8,B5 LM,NOLAN,3006,106.625,0.172,2.035,16.374,5.129,2,0.417 +8,B5 LM,NOLAN,3006.5,105,0.18,2.762,16.867,4.633,2,0.389 +8,B5 LM,NOLAN,3007,97.438,0.194,2.51,16.387,4.77,2,0.361 +8,B5 LM,NOLAN,3007.5,97.688,0.215,1.906,15.672,4.754,2,0.333 +5,B5 LM,NOLAN,3008,105.875,0.243,1.906,15.672,4.754,2,0.306 +5,B5 LM,NOLAN,3008.5,135.625,0.279,1.313,15.191,5.074,2,0.278 +5,B5 LM,NOLAN,3009,164.25,0.323,1.41,14.264,4.984,2,0.25 +5,B5 LM,NOLAN,3009.5,168.375,0.376,1.364,13.528,4.836,2,0.222 +8,B5 LM,NOLAN,3010,137.875,0.434,0.981,12.349,4.977,2,0.194 +8,B5 LM,NOLAN,3010.5,98.188,0.484,0.99,12.242,5.039,2,0.167 +8,B5 LM,NOLAN,3011,79.188,0.519,0.655,11.796,5.141,2,0.139 +6,B5 LM,NOLAN,3011.5,76.188,0.529,-0.093,10.591,4.699,2,0.111 +6,B5 LM,NOLAN,3012,88.25,0.52,-0.871,9.123,4.574,2,0.083 +8,B5 LM,NOLAN,3012.5,102.75,0.512,0.179,8.805,4.602,2,0.056 +8,B5 LM,NOLAN,3013,107.563,0.517,3.99,11.586,4.754,2,0.028 +3,C SH,NOLAN,3013.5,110.938,0.517,8.549,14.888,3.9,1,1 +3,C SH,NOLAN,3014,104,0.501,9.149,16.974,3.231,1,0.974 +3,C SH,NOLAN,3014.5,98.563,0.474,5.552,18.862,2.744,1,0.947 +3,C SH,NOLAN,3015,91.125,0.447,3.698,17.347,2.805,1,0.921 +3,C SH,NOLAN,3015.5,93.125,0.425,3.835,16.233,3.076,1,0.895 +3,C SH,NOLAN,3016,101.938,0.422,6.177,15.259,3.545,1,0.868 +3,C SH,NOLAN,3016.5,107.313,0.426,6.533,16.416,3.492,1,0.842 +3,C SH,NOLAN,3017,112.563,0.424,7.422,17.188,3.381,1,0.816 +3,C SH,NOLAN,3017.5,110.375,0.427,6.891,16.546,3.289,1,0.789 +3,C SH,NOLAN,3018,113.5,0.434,8.294,16.803,3.184,1,0.763 +3,C SH,NOLAN,3018.5,107.938,0.438,7.729,18.296,3.16,1,0.737 +3,C SH,NOLAN,3019,103.5,0.448,7.826,19.762,3.15,1,0.711 +3,C SH,NOLAN,3019.5,100.25,0.467,5.943,19.253,3.211,1,0.684 +3,C SH,NOLAN,3020,94.5,0.483,5.733,18.242,3.299,1,0.658 +3,C SH,NOLAN,3020.5,94,0.502,5.628,16.54,3.625,1,0.632 +2,C SH,NOLAN,3021,91.188,0.526,6.157,16.841,3.656,1,0.605 +2,C SH,NOLAN,3021.5,89.938,0.545,6.614,16.725,3.83,1,0.579 +3,C SH,NOLAN,3022,86.5,0.562,7.713,17.14,3.617,1,0.553 +3,C SH,NOLAN,3022.5,77.938,0.576,7.04,15.665,3.609,1,0.526 +2,C SH,NOLAN,3023,76.813,0.582,6.162,14.443,3.682,1,0.5 +2,C SH,NOLAN,3023.5,77.688,0.585,4.795,13.076,3.836,1,0.474 +2,C SH,NOLAN,3024,77.563,0.593,4.761,13.159,4.262,1,0.447 +2,C SH,NOLAN,3024.5,78.563,0.595,4.461,12.97,4.102,1,0.421 +2,C SH,NOLAN,3025,76,0.593,4.411,13.265,3.957,1,0.395 +2,C SH,NOLAN,3025.5,80.688,0.591,4.974,12.799,3.75,1,0.368 +2,C SH,NOLAN,3026,82.125,0.585,6.129,13.158,3.871,1,0.342 +2,C SH,NOLAN,3026.5,84.5,0.57,6.155,13.523,3.973,1,0.316 +2,C SH,NOLAN,3027,86.688,0.557,5.999,13.484,3.674,1,0.289 +2,C SH,NOLAN,3027.5,87.25,0.546,5.884,13.598,3.596,1,0.263 +2,C SH,NOLAN,3028,87.375,0.531,6.392,13.188,3.467,1,0.237 +2,C SH,NOLAN,3028.5,87,0.518,5.941,13.883,3.676,1,0.211 +2,C SH,NOLAN,3029,97.375,0.519,7.357,15.299,3.641,1,0.184 +2,C SH,NOLAN,3029.5,100.563,0.515,6.842,17.865,3.365,1,0.158 +2,C SH,NOLAN,3030,102.625,0.516,6.555,18.152,3.242,1,0.132 +2,C SH,NOLAN,3030.5,93.75,0.53,3.788,17.209,3.176,1,0.105 +3,C SH,NOLAN,3031,94.938,0.562,6.043,16.955,3.318,1,0.079 +8,C LM,NOLAN,3031.5,81.125,0.597,5.83,19.023,3.131,1,0.053 +8,C LM,NOLAN,3032,58.188,0.643,6.517,15.26,3.334,1,0.026 +8,C LM,NOLAN,3032.5,32.969,0.69,2.971,11.14,3.518,2,1 +8,C LM,NOLAN,3033,20.969,0.734,2.578,6.748,4.121,2,0.991 +8,C LM,NOLAN,3033.5,14.461,0.782,1.403,6.947,4,2,0.982 +8,C LM,NOLAN,3034,13.609,0.859,0.948,7.059,4.305,2,0.973 +8,C LM,NOLAN,3034.5,13.25,0.908,-0.063,7.534,4.555,2,0.964 +8,C LM,NOLAN,3035,19.219,0.909,0.336,7.476,4.731,2,0.955 +8,C LM,NOLAN,3035.5,19.641,0.888,0.842,7.41,3.815,2,0.946 +5,C LM,NOLAN,3036,24.266,0.862,1.437,6.864,3.117,2,0.938 +5,C LM,NOLAN,3036.5,26.141,0.818,1.16,7.727,2.75,2,0.929 +5,C LM,NOLAN,3037,29.594,0.773,2.348,8.687,2.957,2,0.92 +5,C LM,NOLAN,3037.5,32.938,0.734,3.005,10.374,3.078,2,0.911 +5,C LM,NOLAN,3038,36.844,0.697,3.034,12.005,3.283,2,0.902 +5,C LM,NOLAN,3038.5,44.188,0.667,2.897,12.435,3.172,2,0.893 +5,C LM,NOLAN,3039,50.625,0.661,3.849,12.703,3.031,2,0.884 +4,C LM,NOLAN,3039.5,57,0.672,5.339,12.825,2.932,2,0.875 +4,C LM,NOLAN,3040,57.469,0.69,5.764,13.132,2.943,2,0.866 +4,C LM,NOLAN,3040.5,48.531,0.709,5.243,12.384,3.182,2,0.857 +5,C LM,NOLAN,3041,40.469,0.728,3.199,10.228,3.137,2,0.848 +6,C LM,NOLAN,3041.5,32.813,0.752,1.314,8.11,3.356,2,0.839 +5,C LM,NOLAN,3042,38.563,0.79,0.809,6.809,3.557,2,0.83 +5,C LM,NOLAN,3042.5,46.906,0.844,1.924,7.696,3.481,2,0.821 +5,C LM,NOLAN,3043,54.594,0.896,2.275,8.614,3.354,2,0.813 +5,C LM,NOLAN,3043.5,51.219,0.931,1.239,8.38,3.443,2,0.804 +5,C LM,NOLAN,3044,40.688,0.94,-0.242,6.443,3.871,2,0.795 +5,C LM,NOLAN,3044.5,34.406,0.939,-0.591,5.181,4.105,2,0.786 +5,C LM,NOLAN,3045,31.297,0.95,-0.182,4.333,4.109,2,0.777 +5,C LM,NOLAN,3045.5,36.469,0.967,0.169,4.567,4.125,2,0.768 +5,C LM,NOLAN,3046,38.906,0.972,0.217,4.959,4.098,2,0.759 +5,C LM,NOLAN,3046.5,41.906,0.969,0.117,5.889,3.783,2,0.75 +5,C LM,NOLAN,3047,38.719,0.957,0.069,6.181,3.594,2,0.741 +5,C LM,NOLAN,3047.5,38.125,0.938,0.288,6.744,3.57,2,0.732 +5,C LM,NOLAN,3048,41.969,0.915,0.516,6.516,3.65,2,0.723 +5,C LM,NOLAN,3048.5,45.031,0.89,1.186,6.04,3.955,2,0.714 +5,C LM,NOLAN,3049,47.125,0.864,2.279,5.191,4.242,2,0.705 +5,C LM,NOLAN,3049.5,57.75,0.838,1.948,7.036,4.402,2,0.696 +4,C LM,NOLAN,3050,68.375,0.82,2.926,9.037,4.383,2,0.688 +6,C LM,NOLAN,3050.5,77.313,0.814,3.614,10.644,4.172,2,0.679 +6,C LM,NOLAN,3051,66.313,0.815,4.063,10.976,4.207,2,0.67 +8,C LM,NOLAN,3051.5,61.406,0.811,3.186,9.753,4.066,2,0.661 +8,C LM,NOLAN,3052,62.438,0.808,2.053,8.738,4.172,2,0.652 +8,C LM,NOLAN,3052.5,80.875,0.806,1.712,7.712,3.951,2,0.643 +8,C LM,NOLAN,3053,96.5,0.817,1.956,7.272,3.963,2,0.634 +8,C LM,NOLAN,3053.5,120.188,0.839,2.635,7.033,3.877,2,0.625 +8,C LM,NOLAN,3054,165.625,0.868,3.205,7.147,4.148,2,0.616 +4,C LM,NOLAN,3054.5,219.375,0.89,3.504,8.019,4.023,2,0.607 +4,C LM,NOLAN,3055,247.5,0.909,3.195,8.622,3.885,2,0.598 +4,C LM,NOLAN,3055.5,216.75,0.92,2.845,8.728,3.818,2,0.589 +4,C LM,NOLAN,3056,166.625,0.927,2.713,8.029,4.027,2,0.58 +4,C LM,NOLAN,3056.5,119.063,0.933,2.689,8.005,4.422,2,0.571 +4,C LM,NOLAN,3057,96.563,0.939,2.528,7.726,4.469,2,0.563 +4,C LM,NOLAN,3057.5,78.188,0.939,2.023,8.134,4.371,2,0.554 +4,C LM,NOLAN,3058,78.188,0.938,2.249,8.249,4.062,2,0.545 +4,C LM,NOLAN,3058.5,70.75,0.936,2.249,8.249,4.062,2,0.536 +4,C LM,NOLAN,3059,61.5,0.932,2.12,8.231,4.137,2,0.527 +4,C LM,NOLAN,3059.5,56.813,0.926,1.909,8.248,4.105,2,0.518 +4,C LM,NOLAN,3060,52.281,0.921,1.109,8.022,3.965,2,0.509 +4,C LM,NOLAN,3060.5,48.438,0.913,1.534,8.329,3.674,2,0.5 +9,C LM,Recruit F9,3018,32.78,0.723,1.2,13.11,5.1,2,0.186 +9,C LM,Recruit F9,3018.5,23.5,0.711,0.3,12.3,5.2,2,0.176 +9,C LM,Recruit F9,3019,28.33,0.706,0.5,11.79,5.3,2,0.167 +9,C LM,Recruit F9,3019.5,31.12,0.704,1.7,11.325,5.3,2,0.157 +9,C LM,Recruit F9,3020,28.68,0.709,1.9,11.165,5.4,2,0.147 +9,C LM,Recruit F9,3020.5,31.67,0.721,1.6,10.535,5.4,2,0.137 +9,C LM,Recruit F9,3021,39.75,0.733,0.9,10.04,5.5,2,0.127 +9,C LM,Recruit F9,3021.5,36.56,0.747,2,8.545,5.3,2,0.118 +9,C LM,Recruit F9,3022,36.56,0.747,2,8.545,5.3,2,0.118 +9,C LM,Recruit F9,3022.5,37.21,0.764,2.7,7.73,5.6,2,0.108 +9,C LM,Recruit F9,3023,35.8,0.777,2.5,8.195,5.7,2,0.098 +9,C LM,Recruit F9,3023.5,36.56,0.784,1.4,10.29,5.8,2,0.088 +9,A1 SH,Recruit F9,2902,64.21,0.471,10.2,10.935,,2,0.256 +9,A1 SH,Recruit F9,2902.5,63.82,0.467,11.2,10.655,,2,0.231 +9,A1 SH,Recruit F9,2903,64.74,0.458,15.1,12.705,,2,0.205 +9,A1 LM,Recruit F9,2907,32.58,0.29,10.3,14.52,,2,1 +9,A1 LM,Recruit F9,2907.5,25.14,0.294,7.1,12.48,,2,0.985 +9,A1 LM,Recruit F9,2843,36.084,0.882,1.6,8.2,4.125,2,0.645 +9,A1 LM,Recruit F9,2843.5,29.344,0.897,0.1,7.25,4.23,2,0.632 +9,B2 LM,Recruit F9,2914,19.462,0.598,3.4,6.8,6.321,2,0.556 +9,B2 LM,Recruit F9,2914.5,19.552,0.581,3.1,6.95,6.16,2,0.519 +9,B2 LM,Recruit F9,2915,20.653,0.529,0.9,8.65,5.865,2,0.481 +9,B2 LM,Recruit F9,2915.5,23.371,0.45,-1,11.3,5.315,2,0.444 +9,C LM,Recruit F9,3128.5,20.498,1.505,1.321,6.4785,,2,0.583 +9,C LM,Recruit F9,3129,19.037,1.451,2.056,7.122,,2,0.571 +9,C LM,Recruit F9,3129.5,19.16,1.162,2.586,7.607,,2,0.56 +9,C LM,Recruit F9,3130,20.461,1.031,2.503,8.6935,,2,0.548 +9,C LM,Recruit F9,3130.5,23.425,0.791,4.017,9.9725,,2,0.536 +9,C LM,Recruit F9,3131,31.562,0.759,5.805,9.5265,,2,0.524 +9,C LM,Recruit F9,3131.5,43.298,0.759,6.603,8.8445,,2,0.512 +9,B2 LM,Recruit F9,3009.5,31.453,0.899,0.99,12.242,4.52,2,0.833 +9,B2 LM,Recruit F9,3010,37.844,0.895,1.105,12.128,4.727,2,0.8 +9,B2 LM,Recruit F9,3010.5,43.313,0.898,0.916,12.512,4.687,2,0.767 +9,B2 LM,Recruit F9,3011,41.906,0.891,0.793,13.074,4.594,2,0.733 +9,B2 LM,Recruit F9,3011.5,35.063,0.878,0.492,13.229,4.867,2,0.7 +9,B2 LM,Recruit F9,3012,32.531,0.867,-0.022,12.376,4.93,2,0.667 +9,B2 LM,Recruit F9,3012.5,30.906,0.85,-1.111,11.17,5.352,2,0.633 +9,B2 LM,Recruit F9,3013,32.188,0.821,-1.42,9.721,4.961,2,0.6 +9,B2 LM,Recruit F9,3013.5,34.281,0.778,-1.263,9.076,5.012,2,0.567 +9,B2 LM,Recruit F9,3014,40.844,0.724,-0.57,8.284,4.652,2,0.533 +9,B5 LM,Recruit F9,3061.5,52.281,0.486,3.68,17.218,7.652,2,0.75 +9,B5 LM,Recruit F9,3062,48.125,0.479,4.463,18.34,7.598,2,0.733 +9,B5 LM,Recruit F9,3062.5,49.406,0.462,4.29,18.512,6.941,2,0.717 +9,B5 LM,Recruit F9,3063,42.688,0.429,3.075,19.239,5.539,2,0.7 +9,B5 LM,Recruit F9,3063.5,41.438,0.387,1.846,19.15,5.027,2,0.683 +9,B5 LM,Recruit F9,3064,37.219,0.348,0.672,19.006,5.144,2,0.667 +9,B5 LM,Recruit F9,3064.5,38.656,0.314,0.292,17.824,5.633,2,0.65 +9,B5 LM,Recruit F9,3065,43,0.283,0.828,17.336,6.231,2,0.633 +9,B5 LM,Recruit F9,3065.5,42.531,0.257,1.594,17.302,5.898,2,0.617 +9,B5 LM,Recruit F9,3066,41.188,0.234,1.921,17.512,5.754,2,0.6 +9,B5 LM,Recruit F9,3066.5,38.25,0.211,1.498,16.861,5.609,2,0.583 +9,B5 LM,Recruit F9,3067,39.219,0.184,1.629,15.851,6.711,2,0.567 +9,B5 LM,Recruit F9,3067.5,40.938,0.167,2.706,15.214,8.094,2,0.55 +9,B5 LM,Recruit F9,3068,38,0.158,3.576,15.857,6.902,2,0.533 +9,B5 LM,Recruit F9,3068.5,37.938,0.148,3.308,16.273,6.742,2,0.517 +9,B5 LM,Recruit F9,3069,35.156,0.133,3.224,16.99,6.18,2,0.5 +9,B5 LM,Recruit F9,3069.5,36.094,0.118,2.679,17.585,6.422,2,0.483 +9,B5 LM,Recruit F9,3070,37.063,0.106,2.082,19.158,5.484,2,0.467 +9,B5 LM,Recruit F9,3070.5,41,0.1,1.348,19.453,5.398,2,0.45 +9,B5 LM,Recruit F9,3071,42.031,0.106,1.723,18.688,5.297,2,0.433 +9,B5 LM,Recruit F9,3071.5,43.344,0.123,2.001,18.165,5.426,2,0.417 +9,B5 LM,Recruit F9,3072,40.906,0.151,1.666,17.719,4.93,2,0.4 +9,B5 LM,Recruit F9,3072.5,40.531,0.184,1.033,17.424,4.894,2,0.383 +9,B5 LM,Recruit F9,3073,39.5,0.227,0.945,16.536,5.047,2,0.367 +9,B5 LM,Recruit F9,3073.5,42.281,0.29,0.659,16.138,5.391,2,0.35 +9,B5 LM,Recruit F9,3074,46.063,0.366,0.74,15.764,5.652,2,0.333 +9,B5 LM,Recruit F9,3074.5,47.063,0.446,0.122,15.601,5.508,2,0.317 +9,B5 LM,Recruit F9,3075,45.719,0.516,0.398,16.106,5.352,2,0.3 +9,B5 LM,Recruit F9,3075.5,42.406,0.585,1.393,16.527,4.926,2,0.283 +9,B5 LM,Recruit F9,3076,41.594,0.643,2.044,16.266,4.875,2,0.267 +9,B5 LM,Recruit F9,3076.5,44.531,0.68,1.426,15.42,5.031,2,0.25 +9,B5 LM,Recruit F9,3077,49.25,0.707,0.181,13.491,6.062,2,0.233 +9,B5 LM,Recruit F9,3077.5,59.594,0.735,-0.061,11.536,6.227,2,0.217 +9,B5 LM,Recruit F9,3078,74,0.768,0.243,9.67,5.672,2,0.2 +9,B5 LM,Recruit F9,3078.5,127.5,0.802,1.28,8.876,4.406,2,0.183 +9,B5 LM,Recruit F9,3079,185.25,0.83,3.48,7.995,3.912,2,0.167 +9,B5 LM,Recruit F9,3079.5,222.5,0.852,4.614,6.959,3.557,2,0.15 +9,B5 LM,Recruit F9,3080,74,0.768,0.243,9.67,5.672,2,0.2 +9,C LM,Recruit F9,3104,18.297,1.294,0.227,2.8,4.66,2,0.952 +9,C LM,Recruit F9,3104.5,26.609,1.273,1.905,3.905,4.656,2,0.944 +3,A1 SH,NEWBY,2826,76.34,0.719,7.8,11,3.7,1,1 +3,A1 SH,NEWBY,2826.5,83.74,0.688,9.7,12.55,3.4,1,0.977 +3,A1 SH,NEWBY,2827,83.19,0.664,10.1,11.95,3.4,1,0.953 +3,A1 SH,NEWBY,2827.5,80.44,0.648,10.1,11.15,3.4,1,0.93 +3,A1 SH,NEWBY,2828,75.42,0.648,9.3,11.45,3.3,1,0.907 +3,A1 SH,NEWBY,2828.5,71.5,0.663,9.2,11.6,3.3,1,0.884 +3,A1 SH,NEWBY,2829,69.63,0.685,8.7,11.35,3.3,1,0.86 +3,A1 SH,NEWBY,2829.5,70.01,0.705,8.6,11.1,3.4,1,0.837 +3,A1 SH,NEWBY,2830,67.56,0.717,8.6,10.8,3.4,1,0.814 +3,A1 SH,NEWBY,2830.5,67.33,0.719,7.3,10.75,3.4,1,0.791 +3,A1 SH,NEWBY,2831,64.77,0.718,6.3,10.45,3.3,1,0.767 +3,A1 SH,NEWBY,2831.5,64.8,0.715,5.7,10.05,3.4,1,0.744 +2,A1 SH,NEWBY,2832,66.25,0.716,4.9,10.45,3.5,1,0.721 +2,A1 SH,NEWBY,2832.5,66.55,0.719,6.4,10.4,3.5,1,0.698 +2,A1 SH,NEWBY,2833,66.13,0.723,7.9,9.85,3.5,1,0.674 +2,A1 SH,NEWBY,2833.5,65.54,0.723,8.1,8.65,3.5,1,0.651 +2,A1 SH,NEWBY,2834,63.07,0.721,5.5,7.75,3.5,1,0.628 +2,A1 SH,NEWBY,2834.5,59.71,0.72,3.7,7.05,3.4,1,0.605 +2,A1 SH,NEWBY,2835,57.86,0.721,2.2,7.1,3.3,1,0.581 +2,A1 SH,NEWBY,2835.5,54.8,0.723,1,7.4,3.3,1,0.558 +2,A1 SH,NEWBY,2836,51.8,0.722,0.6,7.5,3.3,1,0.535 +2,A1 SH,NEWBY,2836.5,52.62,0.717,1.3,7.45,3.3,1,0.512 +2,A1 SH,NEWBY,2837,53.66,0.706,1.5,7.85,3.4,1,0.488 +2,A1 SH,NEWBY,2837.5,55.79,0.688,2.1,8.25,3.3,1,0.465 +2,A1 SH,NEWBY,2838,58.54,0.666,2.1,8.85,3.2,1,0.442 +2,A1 SH,NEWBY,2838.5,60.95,0.639,2.1,9.65,3.3,1,0.419 +2,A1 SH,NEWBY,2839,66.56,0.613,3.7,10.65,3.3,1,0.395 +2,A1 SH,NEWBY,2839.5,70.88,0.589,5.6,11.4,3.2,1,0.372 +2,A1 SH,NEWBY,2840,71.57,0.571,6.3,12.45,3.1,1,0.349 +3,A1 SH,NEWBY,2840.5,72.53,0.555,6.3,13.45,3.2,1,0.326 +3,A1 SH,NEWBY,2841,67.99,0.542,6.1,14.35,3.1,1,0.302 +2,A1 SH,NEWBY,2841.5,60.31,0.525,5,14.1,3.2,1,0.279 +2,A1 SH,NEWBY,2842,55.52,0.504,6.3,11.55,3.2,1,0.256 +2,A1 SH,NEWBY,2842.5,56.07,0.486,5,11,3.2,1,0.233 +2,A1 SH,NEWBY,2843,62.67,0.473,-2.6,15.8,3.2,1,0.209 +2,A1 SH,NEWBY,2843.5,66.9,0.471,-2.2,21.4,3.2,1,0.186 +2,A1 SH,NEWBY,2844,68.54,0.477,3.1,24.25,3.2,1,0.163 +2,A1 SH,NEWBY,2844.5,68.7,0.483,3.3,22.85,3.2,1,0.14 +5,A1 SH,NEWBY,2845,63.2,0.489,9.5,17.25,3.4,2,0.116 +5,A1 SH,NEWBY,2845.5,60.33,0.493,11.6,15.6,3.7,2,0.093 +5,A1 SH,NEWBY,2846,58.16,0.491,12.7,14.35,3.8,2,0.07 +5,A1 SH,NEWBY,2846.5,52.61,0.481,9.9,11.45,3.9,2,0.047 +3,A1 SH,NEWBY,2847,45.72,0.464,5.2,8.8,3.9,1,0.023 +6,A1 LM,NEWBY,2847.5,35.92,0.441,4.5,7.95,4,2,1 +6,A1 LM,NEWBY,2848,26.62,0.422,3.6,10.7,4.3,2,0.988 +7,A1 LM,NEWBY,2848.5,24.14,0.398,5.9,12.55,4,2,0.976 +7,A1 LM,NEWBY,2849,24.36,0.375,6.5,12.95,3.9,2,0.963 +7,A1 LM,NEWBY,2849.5,23.28,0.35,6.5,11.85,4.1,2,0.951 +7,A1 LM,NEWBY,2850,25.7,0.334,7.7,10.95,4.1,2,0.939 +7,A1 LM,NEWBY,2850.5,28.2,0.336,8.2,11.2,3.7,2,0.927 +7,A1 LM,NEWBY,2851,28.35,0.352,8.8,12.1,3.7,2,0.915 +7,A1 LM,NEWBY,2851.5,31.71,0.377,9,12.8,3.6,2,0.902 +7,A1 LM,NEWBY,2852,35.52,0.405,9.1,12.75,3.3,2,0.89 +7,A1 LM,NEWBY,2852.5,39.11,0.431,9.3,12.55,3.2,2,0.878 +5,A1 LM,NEWBY,2853,44.57,0.458,10.4,12.4,3.2,2,0.866 +5,A1 LM,NEWBY,2853.5,54.42,0.49,11.1,12.35,3.1,2,0.854 +5,A1 LM,NEWBY,2854,61.72,0.53,10.9,13.15,3.1,2,0.841 +5,A1 LM,NEWBY,2854.5,66.81,0.577,11.9,13.55,3.1,2,0.829 +4,A1 LM,NEWBY,2855,74.17,0.628,11.8,13.5,3.2,2,0.817 +4,A1 LM,NEWBY,2855.5,82.18,0.679,9.2,12.5,3.5,2,0.805 +4,A1 LM,NEWBY,2856,85.67,0.725,5.8,9.4,3.6,2,0.793 +4,A1 LM,NEWBY,2856.5,87.06,0.761,1.6,6.3,3.8,2,0.78 +4,A1 LM,NEWBY,2857,84.2,0.792,-1.2,4.6,3.8,2,0.768 +8,A1 LM,NEWBY,2857.5,83.45,0.823,-1.9,4.35,3.9,2,0.756 +8,A1 LM,NEWBY,2858,90.42,0.86,-1.3,5.75,3.9,2,0.744 +6,A1 LM,NEWBY,2858.5,100.83,0.898,1.7,7.65,3.8,2,0.732 +4,A1 LM,NEWBY,2859,108.34,0.93,4.9,9.65,3.9,2,0.72 +4,A1 LM,NEWBY,2859.5,107.75,0.946,6.5,9.85,3.9,2,0.707 +4,A1 LM,NEWBY,2860,92.63,0.945,5.3,8.55,3.8,2,0.695 +4,A1 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LM,NEWBY,2869.5,73.08,0.63,5.2,14.5,3.3,2,0.463 +4,A1 LM,NEWBY,2870,71.86,0.624,4.9,14.75,3.3,2,0.451 +4,A1 LM,NEWBY,2870.5,71.83,0.623,5.2,14.9,3.3,2,0.439 +4,A1 LM,NEWBY,2871,70.27,0.624,5.8,15.1,3.3,2,0.427 +4,A1 LM,NEWBY,2871.5,69.65,0.626,6.2,14.8,3.4,2,0.415 +4,A1 LM,NEWBY,2872,66.78,0.631,5.7,14.15,3.5,2,0.402 +4,A1 LM,NEWBY,2872.5,64.06,0.638,5.9,12.95,3.5,2,0.39 +4,A1 LM,NEWBY,2873,60.24,0.651,5.1,11.65,3.5,2,0.378 +4,A1 LM,NEWBY,2873.5,58.25,0.667,4.2,11.4,3.4,2,0.366 +6,A1 LM,NEWBY,2874,56.79,0.687,3.5,10.95,3.4,2,0.354 +6,A1 LM,NEWBY,2874.5,58,0.703,1.8,10.5,3.3,2,0.341 +6,A1 LM,NEWBY,2875,60.75,0.71,0.8,10.6,3.3,2,0.329 +4,A1 LM,NEWBY,2875.5,64.48,0.707,2.5,10.45,3.4,2,0.317 +4,A1 LM,NEWBY,2876,65.37,0.693,4.1,10.25,3.5,2,0.305 +4,A1 LM,NEWBY,2876.5,65.84,0.672,3.2,10.8,3.4,2,0.293 +4,A1 LM,NEWBY,2877,67.38,0.65,2.7,11.45,3.3,2,0.28 +4,A1 LM,NEWBY,2877.5,67.07,0.626,3,12,3.2,2,0.268 +4,A1 LM,NEWBY,2878,65.28,0.603,3.6,12.8,3,2,0.256 +4,A1 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LM,NEWBY,3044,55.32,0.888,3,8.3,3.9,2,0.539 +4,C LM,NEWBY,3044.5,60.5,0.907,4.2,9,3.9,2,0.528 +6,C LM,NEWBY,3045,69.16,0.939,6.3,9.45,4,2,0.517 +6,C LM,NEWBY,3045.5,77.53,0.979,6.6,8,4.2,2,0.506 +6,C LM,NEWBY,3046,76.88,1.022,4.3,6.15,4.4,2,0.494 +9,C LM,NEWBY,3046.5,70.4,1.064,2.4,4,4.4,2,0.483 +9,C LM,NEWBY,3047,63.2,1.101,1.4,2.4,4.3,2,0.472 +9,C LM,NEWBY,3047.5,53.89,1.118,-0.4,2.3,4.2,2,0.461 +9,C LM,NEWBY,3048,56.2,1.107,-1.2,2.7,4.2,2,0.449 +6,C LM,NEWBY,3048.5,78.23,1.074,-0.4,3.1,4.1,2,0.438 +6,C LM,NEWBY,3049,112.92,1.022,-0.8,5.1,4.1,2,0.427 +6,C LM,NEWBY,3049.5,144.15,0.963,0.4,7.7,4.1,2,0.416 +4,C LM,NEWBY,3050,157.21,0.899,4.1,9.95,4.4,2,0.404 +5,C LM,NEWBY,3050.5,152.6,0.839,5.6,11.4,4.2,2,0.393 +4,C LM,NEWBY,3051,140.93,0.792,6.1,12.25,4.1,2,0.382 +4,C LM,NEWBY,3051.5,122.45,0.761,6.6,13.3,4,2,0.371 +4,C LM,NEWBY,3052,110.67,0.748,7.5,15.15,3.9,2,0.36 +4,C LM,NEWBY,3052.5,108.85,0.754,7.3,15.85,3.6,2,0.348 +4,C LM,NEWBY,3053,105.74,0.775,8.5,16.05,3.6,2,0.337 +4,C LM,NEWBY,3053.5,100.04,0.803,9.5,16.85,3.7,2,0.326 +4,C LM,NEWBY,3054,92.64,0.828,9.5,16.05,3.9,2,0.315 +6,C LM,NEWBY,3054.5,80.47,0.841,6.8,12.5,4,2,0.303 +6,C LM,NEWBY,3055,66.94,0.838,4,8,4.2,2,0.292 +6,C LM,NEWBY,3055.5,54.06,0.823,1.9,5.45,4.3,2,0.281 +6,C LM,NEWBY,3056,47.87,0.797,0.7,4.85,4.4,2,0.27 +6,C LM,NEWBY,3056.5,49.34,0.763,2.3,4.85,4.1,2,0.258 +8,C LM,NEWBY,3057,59.88,0.721,3.2,7.2,3.9,2,0.247 +3,A1 SH,CHURCHMAN BIBLE,2917.5,63.5,0.705,4.916,12.174,3.162,1,1 +3,A1 SH,CHURCHMAN BIBLE,2918,80.875,0.709,7.514,13.286,2.932,1,0.95 +3,A1 SH,CHURCHMAN BIBLE,2918.5,87.813,0.7,7.785,13.212,2.953,1,0.9 +3,A1 SH,CHURCHMAN BIBLE,2919,86.75,0.685,7.547,13.547,3.42,1,0.85 +3,A1 SH,CHURCHMAN BIBLE,2919.5,79.438,0.669,5.912,12.252,3.324,1,0.8 +2,A1 SH,CHURCHMAN BIBLE,2920,77.5,0.658,4.537,11.332,3.324,1,0.75 +2,A1 SH,CHURCHMAN BIBLE,2920.5,72.75,0.658,3.974,11.114,3.127,1,0.7 +2,A1 SH,CHURCHMAN BIBLE,2921,76.563,0.671,4.98,14.746,2.818,1,0.65 +2,A1 SH,CHURCHMAN BIBLE,2921.5,79.625,0.686,4.552,18.202,2.684,1,0.6 +1,A1 SH,CHURCHMAN BIBLE,2922,74.25,0.687,3.621,17.961,2.557,1,0.55 +1,A1 SH,CHURCHMAN BIBLE,2922.5,71,0.679,1.003,14.769,2.787,1,0.5 +1,A1 SH,CHURCHMAN BIBLE,2923,67.438,0.66,0.746,11.998,2.795,1,0.45 +1,A1 SH,CHURCHMAN BIBLE,2923.5,70,0.643,1.838,10.809,2.635,1,0.4 +1,A1 SH,CHURCHMAN BIBLE,2924,66.438,0.644,2.744,11.025,2.621,1,0.35 +1,A1 SH,CHURCHMAN BIBLE,2924.5,67.25,0.652,2.922,11.776,2.59,1,0.3 +1,A1 SH,CHURCHMAN BIBLE,2925,71.563,0.661,3.286,12.485,2.9,1,0.25 +1,A1 SH,CHURCHMAN BIBLE,2925.5,70.125,0.68,5.487,13.312,3.063,1,0.2 +3,A1 SH,CHURCHMAN BIBLE,2926,69.25,0.734,4.784,13.527,3.01,1,0.1 +3,A1 SH,CHURCHMAN BIBLE,2926.5,65.625,0.77,1.439,10.182,3.277,1,0.05 +8,A1 LM,CHURCHMAN BIBLE,2927,53.125,0.826,1.122,4.835,4.008,2,1 +8,A1 LM,CHURCHMAN BIBLE,2927.5,40.25,0.873,-1.021,5.318,4.52,2,0.989 +8,A1 LM,CHURCHMAN BIBLE,2928,33.625,0.906,0.046,4.788,4.375,2,0.978 +8,A1 LM,CHURCHMAN BIBLE,2928.5,35.063,0.951,0.086,5.285,3.943,2,0.967 +8,A1 LM,CHURCHMAN BIBLE,2929,35.844,0.99,-0.207,5.676,3.58,2,0.957 +8,A1 LM,CHURCHMAN BIBLE,2929.5,39.594,1.003,-1.041,6.217,3.395,2,0.946 +6,A1 LM,CHURCHMAN BIBLE,2930,39.969,0.994,-1.57,6.599,3.467,2,0.935 +6,A1 LM,CHURCHMAN BIBLE,2930.5,40.688,0.984,-1.863,6.306,3.547,2,0.924 +6,A1 LM,CHURCHMAN BIBLE,2931,39.875,0.939,-1.698,5.214,3.799,2,0.913 +6,A1 LM,CHURCHMAN BIBLE,2931.5,46.813,0.857,-0.436,4.88,4.273,2,0.902 +5,A1 LM,CHURCHMAN BIBLE,2932,51.281,0.809,3.982,9.982,3.356,2,0.891 +5,A1 LM,CHURCHMAN BIBLE,2932.5,67.188,0.791,4.184,18.863,2.783,2,0.88 +3,A1 LM,CHURCHMAN BIBLE,2933,71.563,0.772,3.478,22.157,2.416,2,0.87 +3,A1 LM,CHURCHMAN BIBLE,2933.5,75.375,0.746,-0.136,20.595,2.496,2,0.859 +4,A1 LM,CHURCHMAN BIBLE,2934,75.813,0.733,1.94,19.935,2.969,2,0.848 +3,A1 LM,CHURCHMAN BIBLE,2934.5,79.375,0.73,2.966,20.96,2.967,2,0.837 +3,A1 LM,CHURCHMAN BIBLE,2935,79.438,0.734,1.488,19.02,3.406,2,0.826 +8,A1 LM,CHURCHMAN BIBLE,2935.5,64.438,0.762,-3.187,14.808,3.836,2,0.815 +8,A1 LM,CHURCHMAN BIBLE,2936,49.438,0.798,-2.171,11.595,4.863,2,0.804 +8,A1 LM,CHURCHMAN BIBLE,2936.5,41.031,0.817,0,9.082,4.516,2,0.793 +8,A1 LM,CHURCHMAN BIBLE,2937,40.906,0.836,1.127,7.466,4.168,2,0.783 +8,A1 LM,CHURCHMAN BIBLE,2937.5,43.156,0.865,1.022,7.133,3.955,2,0.772 +8,A1 LM,CHURCHMAN BIBLE,2938,51.344,0.843,1.299,6.953,3.928,2,0.761 +8,A1 LM,CHURCHMAN BIBLE,2938.5,56.75,0.78,1.37,7.37,3.953,2,0.75 +8,A1 LM,CHURCHMAN BIBLE,2939,65.5,0.722,2.225,8.225,3.93,2,0.739 +8,A1 LM,CHURCHMAN BIBLE,2939.5,74.813,0.661,3.038,9.266,3.586,2,0.728 +6,A1 LM,CHURCHMAN BIBLE,2940,92.188,0.613,4.283,10.511,3.299,2,0.717 +6,A1 LM,CHURCHMAN BIBLE,2940.5,104.063,0.59,4.306,12.247,3.088,2,0.707 +6,A1 LM,CHURCHMAN BIBLE,2941,103.563,0.58,3.915,12.54,3.211,2,0.696 +6,A1 LM,CHURCHMAN BIBLE,2941.5,99.188,0.573,3.866,13.175,3.232,2,0.685 +6,A1 LM,CHURCHMAN BIBLE,2942,90.375,0.595,6.423,13.792,2.979,2,0.663 +6,A1 LM,CHURCHMAN BIBLE,2942.5,82.063,0.625,6.823,12.367,3.094,2,0.652 +4,A1 LM,CHURCHMAN BIBLE,2943,79.375,0.677,5.522,10.493,3.104,2,0.641 +4,A1 LM,CHURCHMAN BIBLE,2943.5,76.313,0.739,4.471,10.471,3.254,2,0.63 +4,A1 LM,CHURCHMAN BIBLE,2944,80.063,0.799,4.584,11.041,3.326,2,0.62 +4,A1 LM,CHURCHMAN BIBLE,2944.5,76.063,0.865,4.273,11.303,3.393,2,0.609 +4,A1 LM,CHURCHMAN BIBLE,2945,65.25,0.923,2.835,9.519,3.52,2,0.598 +6,A1 LM,CHURCHMAN BIBLE,2945.5,44.719,0.95,0.156,7.413,3.178,2,0.587 +6,A1 LM,CHURCHMAN BIBLE,2946,36.531,0.955,-0.398,7.087,3.221,2,0.576 +6,A1 LM,CHURCHMAN BIBLE,2946.5,34.656,0.956,0.531,7.672,3.186,2,0.565 +6,A1 LM,CHURCHMAN BIBLE,2947,45.281,0.951,2.584,9.379,3.412,2,0.554 +6,A1 LM,CHURCHMAN BIBLE,2947.5,50.063,0.951,4.121,9.893,3.484,2,0.543 +6,A1 LM,CHURCHMAN BIBLE,2948,54.719,0.944,6.222,10.965,3.441,2,0.533 +5,A1 LM,CHURCHMAN BIBLE,2948.5,58.5,0.935,6.938,11.909,3.547,2,0.522 +5,A1 LM,CHURCHMAN BIBLE,2949,59.563,0.93,6.411,10.581,3.459,2,0.511 +5,A1 LM,CHURCHMAN BIBLE,2949.5,58.281,0.918,3.905,8.302,3.83,2,0.5 +6,A1 LM,CHURCHMAN BIBLE,2950,47.875,0.925,1.999,6.058,4.281,2,0.489 +6,A1 LM,CHURCHMAN BIBLE,2950.5,44.156,0.937,0.353,6.581,4.652,2,0.478 +6,A1 LM,CHURCHMAN BIBLE,2951,38.875,0.959,-0.667,6.819,4.5,2,0.467 +6,A1 LM,CHURCHMAN BIBLE,2951.5,39.938,1.004,-1.114,6.827,4.105,2,0.457 +8,A1 LM,CHURCHMAN BIBLE,2952,40.25,1.034,-0.248,6.547,4.094,2,0.446 +8,A1 LM,CHURCHMAN BIBLE,2952.5,44.219,1.038,1.152,6.123,3.902,2,0.435 +6,A1 LM,CHURCHMAN BIBLE,2953,40.563,1.046,1.634,6.032,4.133,2,0.424 +6,A1 LM,CHURCHMAN BIBLE,2953.5,37.125,1.056,0.981,5.952,3.83,2,0.413 +8,A1 LM,CHURCHMAN BIBLE,2954,33.594,1.063,-0.388,6.296,4.109,2,0.402 +6,A1 LM,CHURCHMAN BIBLE,2954.5,43.406,1.086,-0.85,5.489,4.129,2,0.391 +6,A1 LM,CHURCHMAN BIBLE,2955,43.594,1.111,-0.819,4.725,4.742,2,0.38 +6,A1 LM,CHURCHMAN BIBLE,2955.5,45.563,1.129,0.39,3.419,4.965,2,0.37 +6,A1 LM,CHURCHMAN BIBLE,2956,43.969,1.145,0.772,3.573,4.68,2,0.359 +6,A1 LM,CHURCHMAN BIBLE,2956.5,47.719,1.157,1.099,3.784,4.727,2,0.348 +6,A1 LM,CHURCHMAN BIBLE,2957,46.125,1.162,1.351,4.264,4.629,2,0.337 +6,A1 LM,CHURCHMAN BIBLE,2957.5,43.219,1.157,1.633,5.007,5.086,2,0.326 +6,A1 LM,CHURCHMAN BIBLE,2958,38.313,1.135,1.665,5.952,4.77,2,0.315 +6,A1 LM,CHURCHMAN BIBLE,2958.5,40,1.116,0.98,6.979,4.633,2,0.304 +6,A1 LM,CHURCHMAN BIBLE,2959,36.656,1.083,0.147,7.177,3.898,2,0.293 +6,A1 LM,CHURCHMAN BIBLE,2959.5,39.063,1.041,0.221,7.25,3.896,2,0.283 +6,A1 LM,CHURCHMAN BIBLE,2960,39.063,1.041,0.221,7.25,3.896,2,0.283 +6,A1 LM,CHURCHMAN BIBLE,2960.5,38.375,1.009,0.654,7.11,3.74,2,0.272 +6,A1 LM,CHURCHMAN BIBLE,2961,41.75,0.974,1.476,7.704,4.211,2,0.261 +6,A1 LM,CHURCHMAN BIBLE,2961.5,43.844,0.933,2.566,8.566,3.881,2,0.25 +6,A1 LM,CHURCHMAN BIBLE,2962,47.469,0.904,2.843,9.755,3.539,2,0.239 +6,A1 LM,CHURCHMAN BIBLE,2962.5,48.469,0.877,3.6,10.512,3.221,2,0.228 +6,A1 LM,CHURCHMAN BIBLE,2963,45.875,0.845,4.357,10.585,3.172,2,0.217 +6,A1 LM,CHURCHMAN BIBLE,2963.5,47,0.823,5.742,10.713,3.248,2,0.207 +6,A1 LM,CHURCHMAN BIBLE,2964,50.469,0.805,6.166,10.68,3.141,2,0.196 +6,A1 LM,CHURCHMAN BIBLE,2964.5,53.844,0.788,5.791,10.078,3.162,2,0.185 +6,A1 LM,CHURCHMAN BIBLE,2965,55.313,0.787,4.743,9.369,3.041,2,0.174 +4,A1 LM,CHURCHMAN BIBLE,2965.5,60.563,0.795,3.853,8.94,3.074,2,0.163 +4,A1 LM,CHURCHMAN BIBLE,2966,67.75,0.816,2.991,9.558,2.994,2,0.152 +4,A1 LM,CHURCHMAN BIBLE,2966.5,72.313,0.855,3.365,10.16,3.098,2,0.141 +4,A1 LM,CHURCHMAN BIBLE,2967,73.313,0.905,3.429,9.657,3.234,2,0.13 +4,A1 LM,CHURCHMAN BIBLE,2967.5,73.375,0.952,2.949,8.037,3.74,2,0.12 +4,A1 LM,CHURCHMAN BIBLE,2968,70.063,1.008,2.203,5.805,4.242,2,0.109 +8,A1 LM,CHURCHMAN BIBLE,2968.5,70.063,1.008,2.203,5.805,4.242,2,0.109 +6,A1 LM,CHURCHMAN BIBLE,2969,64.313,1.05,1.187,3.988,4.984,2,0.098 +6,A1 LM,CHURCHMAN BIBLE,2969.5,60.75,1.091,1.124,3.124,5.223,2,0.087 +6,A1 LM,CHURCHMAN BIBLE,2970,55.25,1.167,0.723,3.525,5.152,2,0.076 +6,A1 LM,CHURCHMAN BIBLE,2970.5,55.156,1.25,0.731,4.445,4.875,2,0.065 +8,A1 LM,CHURCHMAN BIBLE,2971,55.156,1.25,0.731,4.445,4.875,2,0.065 +8,A1 LM,CHURCHMAN BIBLE,2971.5,52.25,1.299,0.729,5.472,4.863,2,0.054 +6,A1 LM,CHURCHMAN BIBLE,2972,57.844,1.308,0.687,6.686,4.457,2,0.043 +8,A1 LM,CHURCHMAN BIBLE,2972.5,61.844,1.222,0.809,6.125,4.773,2,0.033 +8,A1 LM,CHURCHMAN BIBLE,2973,70.188,1.048,2.187,7.041,3.217,2,0.022 +5,A1 LM,CHURCHMAN BIBLE,2973.5,71.938,0.864,4.158,14.152,2.467,2,0.011 +3,B1 SH,CHURCHMAN BIBLE,2974,74.563,0.779,-0.666,32.404,2.168,1,1 +3,B1 SH,CHURCHMAN BIBLE,2974.5,72.688,0.727,0.793,40.027,2.037,1,0.958 +3,B1 SH,CHURCHMAN BIBLE,2975,77.438,0.705,-1.06,42.174,1.941,1,0.917 +3,B1 SH,CHURCHMAN BIBLE,2975.5,80.813,0.695,-1.309,41.299,1.888,1,0.875 +3,B1 SH,CHURCHMAN BIBLE,2976,82.875,0.672,-2.435,42.571,1.802,1,0.833 +3,B1 SH,CHURCHMAN BIBLE,2976.5,80.813,0.657,-5.069,38.223,2.248,1,0.792 +3,B1 SH,CHURCHMAN BIBLE,2977,71.75,0.661,-3.162,27.967,3.102,1,0.75 +3,B1 SH,CHURCHMAN BIBLE,2977.5,64.313,0.689,-1.192,18.282,3.488,1,0.708 +2,B1 SH,CHURCHMAN BIBLE,2978,60.563,0.818,3.299,9.983,3.334,1,0.625 +2,B1 SH,CHURCHMAN BIBLE,2978.5,65.688,0.886,2.794,9.022,3.25,1,0.583 +2,B1 SH,CHURCHMAN BIBLE,2979,59.125,0.89,2.077,9.446,3.025,1,0.542 +2,B1 SH,CHURCHMAN BIBLE,2979.5,57.563,0.868,1.903,10.646,2.709,1,0.5 +2,B1 SH,CHURCHMAN BIBLE,2980,54.156,0.821,1.138,11.021,2.934,1,0.458 +2,B1 SH,CHURCHMAN BIBLE,2980.5,60.719,0.752,3.491,12.573,2.34,1,0.417 +2,B1 SH,CHURCHMAN BIBLE,2981,64,0.694,5.213,23.547,1.968,1,0.375 +2,B1 SH,CHURCHMAN BIBLE,2981.5,68.063,0.675,-1.635,38.745,1.75,1,0.333 +2,B1 SH,CHURCHMAN BIBLE,2982,66.688,0.646,-3.951,40.768,1.666,1,0.292 +2,B1 SH,CHURCHMAN BIBLE,2982.5,65.125,0.608,-9.25,33.469,2.354,1,0.25 +2,B1 SH,CHURCHMAN BIBLE,2983,61.375,0.563,-1.914,21.104,3.387,1,0.208 +2,B1 SH,CHURCHMAN BIBLE,2983.5,62.125,0.51,3.503,16.468,3.209,1,0.167 +2,B1 SH,CHURCHMAN BIBLE,2984,67.438,0.495,7.9,19.151,2.902,1,0.125 +2,B1 SH,CHURCHMAN BIBLE,2984.5,65.313,0.52,7.18,27.683,2.648,1,0.083 +5,B1 LM,CHURCHMAN BIBLE,2985,60.219,0.545,3.448,27.606,2.652,1,0.042 +7,B1 LM,CHURCHMAN BIBLE,2985.5,46.75,0.577,-1.737,21.854,3.076,2,1 +8,B1 LM,CHURCHMAN BIBLE,2986,38.688,0.618,-2.896,11.783,3.871,2,0.969 +8,B1 LM,CHURCHMAN BIBLE,2986.5,26.547,0.657,-2.215,6.756,4.312,2,0.938 +8,B1 LM,CHURCHMAN BIBLE,2987,21.375,0.713,0.709,3.393,4.363,2,0.906 +8,B1 LM,CHURCHMAN BIBLE,2987.5,23.234,0.801,-0.468,5.643,4.492,2,0.875 +8,B1 LM,CHURCHMAN BIBLE,2988,29.125,0.905,1.12,6.546,4.891,2,0.844 +8,B1 LM,CHURCHMAN BIBLE,2988.5,32.938,0.996,1.335,8.821,4.641,2,0.813 +8,B1 LM,CHURCHMAN BIBLE,2989,33.094,1.023,2.804,8.231,4.363,2,0.781 +8,B1 LM,CHURCHMAN BIBLE,2989.5,27.703,0.995,3.242,8.33,4,2,0.75 +8,B1 LM,CHURCHMAN BIBLE,2990,27.672,0.929,2.739,7.71,4.219,2,0.719 +8,B1 LM,CHURCHMAN BIBLE,2990.5,28.172,0.851,1.696,7.924,4.242,2,0.688 +8,B1 LM,CHURCHMAN BIBLE,2991,32.469,0.799,0.865,8.461,4.391,2,0.656 +6,B1 LM,CHURCHMAN BIBLE,2991.5,37.656,0.781,2.169,8.28,3.863,2,0.625 +6,B1 LM,CHURCHMAN BIBLE,2992,43.531,0.783,4.538,8.597,3.352,2,0.594 +6,B1 LM,CHURCHMAN BIBLE,2992.5,51.219,0.793,4.914,8.172,3.195,2,0.563 +6,B1 LM,CHURCHMAN BIBLE,2993,60.719,0.801,3.895,7.726,3.359,2,0.531 +6,B1 LM,CHURCHMAN BIBLE,2993.5,63.031,0.803,1.46,6.548,3.949,2,0.5 +6,B1 LM,CHURCHMAN BIBLE,2994,65.125,0.814,0.241,5.668,4.078,2,0.469 +6,B1 LM,CHURCHMAN BIBLE,2994.5,57.625,0.842,-0.878,6.151,4.164,2,0.438 +6,B1 LM,CHURCHMAN BIBLE,2995,60.281,0.895,-0.494,5.962,4.375,2,0.406 +6,B1 LM,CHURCHMAN BIBLE,2995.5,75.125,0.969,0.257,6.14,4.477,2,0.375 +8,B1 LM,CHURCHMAN BIBLE,2996,97.313,0.995,1.975,6.033,4.738,2,0.344 +8,B1 LM,CHURCHMAN BIBLE,2996.5,100.375,1.002,1.5,8.412,4.445,2,0.313 +8,B1 LM,CHURCHMAN BIBLE,2997,89.25,1.006,1.408,9.578,4.27,2,0.281 +8,B1 LM,CHURCHMAN BIBLE,2997.5,72.063,0.988,2.224,10.276,4.246,2,0.25 +8,B1 LM,CHURCHMAN BIBLE,2998,72.625,0.968,3.323,9.323,4.144,2,0.219 +8,B1 LM,CHURCHMAN BIBLE,2998.5,73.813,0.934,4.188,9.387,4.187,2,0.188 +8,B1 LM,CHURCHMAN BIBLE,2999,78,0.887,3.038,9.266,4.144,2,0.156 +8,B1 LM,CHURCHMAN BIBLE,2999.5,96.813,0.825,2.094,8.55,4.578,2,0.125 +8,B1 LM,CHURCHMAN BIBLE,3000,145.75,0.755,1.651,10.849,2.908,2,0.094 +3,B2 SH,CHURCHMAN BIBLE,3000.5,207.125,0.707,-0.923,22.896,2.35,2,0.063 +3,B2 SH,CHURCHMAN BIBLE,3001,221.125,0.664,-9.69,39.427,2.043,2,0.031 +3,B2 SH,CHURCHMAN BIBLE,3001.5,183.375,0.61,-9.88,45.231,1.927,1,1 +3,B2 SH,CHURCHMAN BIBLE,3002,124.438,0.558,-7.337,46.692,2.15,1,0.917 +3,B2 SH,CHURCHMAN BIBLE,3002.5,93.438,0.516,2.671,42.934,2.004,1,0.833 +3,B2 SH,CHURCHMAN BIBLE,3003,81.625,0.492,6.728,44.249,1.641,1,0.75 +3,B2 SH,CHURCHMAN BIBLE,3003.5,78.813,0.505,2.318,48.464,1.465,1,0.667 +3,B2 SH,CHURCHMAN BIBLE,3004,74.5,0.535,-8.228,52.369,1.513,1,0.583 +3,B2 SH,CHURCHMAN BIBLE,3004.5,75.563,0.548,-16.331,46.605,1.741,1,0.5 +3,B2 SH,CHURCHMAN BIBLE,3005,69.438,0.556,-18.252,40.175,2.879,1,0.417 +3,B2 SH,CHURCHMAN BIBLE,3005.5,63.063,0.638,5.584,32.941,2.285,1,0.25 +7,B2 SH,CHURCHMAN BIBLE,3006,67.5,0.696,-1.373,37.75,2.102,1,0.167 +3,B2 SH,CHURCHMAN BIBLE,3006.5,64.938,0.771,-9.77,34.037,2.199,1,0.083 +5,B2 LM,CHURCHMAN BIBLE,3007,60.281,0.828,-10.539,24.016,3.854,2,1 +5,B2 LM,CHURCHMAN BIBLE,3007.5,48.844,0.84,-3.23,16.706,4.781,2,0.967 +8,B2 LM,CHURCHMAN BIBLE,3008,39.156,0.852,2.505,11.704,4.871,2,0.933 +8,B2 LM,CHURCHMAN BIBLE,3008.5,31.453,0.872,1.34,12.82,4.742,2,0.9 +8,B2 LM,CHURCHMAN BIBLE,3009,27.031,0.883,0.933,12.641,4.578,2,0.867 +9,B2 LM,CHURCHMAN BIBLE,3009.5,31.453,0.899,0.99,12.242,4.52,2,0.833 +9,B2 LM,CHURCHMAN BIBLE,3010,37.844,0.895,1.105,12.128,4.727,2,0.8 +9,B2 LM,CHURCHMAN BIBLE,3010.5,43.313,0.898,0.916,12.512,4.687,2,0.767 +9,B2 LM,CHURCHMAN BIBLE,3011,41.906,0.891,0.793,13.074,4.594,2,0.733 +9,B2 LM,CHURCHMAN BIBLE,3011.5,35.063,0.878,0.492,13.229,4.867,2,0.7 +9,B2 LM,CHURCHMAN BIBLE,3012,32.531,0.867,-0.022,12.376,4.93,2,0.667 +9,B2 LM,CHURCHMAN BIBLE,3012.5,30.906,0.85,-1.111,11.17,5.352,2,0.633 +9,B2 LM,CHURCHMAN BIBLE,3013,32.188,0.821,-1.42,9.721,4.961,2,0.6 +9,B2 LM,CHURCHMAN BIBLE,3013.5,34.281,0.778,-1.263,9.076,5.012,2,0.567 +9,B2 LM,CHURCHMAN BIBLE,3014,40.844,0.724,-0.57,8.284,4.652,2,0.533 +6,B2 LM,CHURCHMAN BIBLE,3014.5,52.75,0.68,0.108,8.388,3.912,2,0.5 +6,B2 LM,CHURCHMAN BIBLE,3015,68.125,0.62,1.744,8.656,3.065,2,0.467 +6,B2 LM,CHURCHMAN BIBLE,3015.5,96.063,0.504,4.265,11.75,2.76,2,0.433 +7,B2 LM,CHURCHMAN BIBLE,3016,119.438,0.383,5.89,15.545,2.656,2,0.4 +7,B2 LM,CHURCHMAN BIBLE,3016.5,131.875,0.339,6.374,19.456,2.926,2,0.367 +7,B2 LM,CHURCHMAN BIBLE,3017,124.563,0.277,5.916,20.939,3.053,2,0.333 +7,B2 LM,CHURCHMAN BIBLE,3017.5,100.625,0.224,5.712,21.876,3.297,2,0.3 +7,B2 LM,CHURCHMAN BIBLE,3018,83.313,0.194,5.443,22.291,3.348,2,0.267 +7,B2 LM,CHURCHMAN BIBLE,3018.5,72.563,0.192,3.586,20.095,3.363,2,0.233 +7,B2 LM,CHURCHMAN BIBLE,3019,93.125,0.208,1.204,16.227,3.857,2,0.2 +7,B2 LM,CHURCHMAN BIBLE,3019.5,117.75,0.237,0.16,12.096,3.961,2,0.167 +5,B2 LM,CHURCHMAN BIBLE,3020,131.875,0.29,1.229,11.223,3.775,2,0.133 +6,B2 LM,CHURCHMAN BIBLE,3020.5,124.25,0.341,3.054,11.106,3.232,2,0.1 +8,B2 LM,CHURCHMAN BIBLE,3021,106.25,0.401,3.396,10.764,2.981,2,0.067 +3,B3 SH,CHURCHMAN BIBLE,3021.5,87.875,0.5,3.797,9.68,3.201,2,0.033 +3,B3 SH,CHURCHMAN BIBLE,3022,74.938,0.587,3.314,11.139,3.215,1,1 +3,B3 SH,CHURCHMAN BIBLE,3022.5,67.625,0.633,3.947,13.485,2.94,1,0.929 +2,B3 SH,CHURCHMAN BIBLE,3023,72.313,0.645,4.261,15.173,2.699,1,0.857 +2,B3 SH,CHURCHMAN BIBLE,3023.5,70.5,0.653,3.445,15.842,2.647,1,0.786 +2,B3 SH,CHURCHMAN BIBLE,3024,70.188,0.649,3.398,14.082,2.91,1,0.714 +2,B3 SH,CHURCHMAN BIBLE,3024.5,66.25,0.639,3.774,13.657,2.963,1,0.643 +2,B3 SH,CHURCHMAN BIBLE,3025,66.813,0.635,3.915,11.173,2.945,1,0.571 +2,B3 SH,CHURCHMAN BIBLE,3025.5,66.875,0.617,2.883,10.252,3.205,1,0.5 +2,B3 SH,CHURCHMAN BIBLE,3026,71.438,0.624,2.114,12.681,3.123,1,0.429 +2,B3 SH,CHURCHMAN BIBLE,3026.5,83.688,0.651,-0.804,26.781,2.606,1,0.357 +2,B3 SH,CHURCHMAN BIBLE,3027,85,0.681,-3.342,36.008,2.4,1,0.286 +2,B3 SH,CHURCHMAN BIBLE,3027.5,85,0.681,-3.342,36.008,2.4,1,0.286 +2,B3 SH,CHURCHMAN BIBLE,3028,79.313,0.72,-7.159,36.7,2.258,1,0.214 +3,B3 SH,CHURCHMAN BIBLE,3028.5,60.906,0.75,-8.424,27.272,3.275,1,0.143 +8,B3 LM,CHURCHMAN BIBLE,3029,47,0.757,-4.656,18.133,3.836,1,0.071 +8,B3 LM,CHURCHMAN BIBLE,3029.5,31.391,0.772,0.388,11.868,4.023,2,1 +6,B3 LM,CHURCHMAN BIBLE,3030,26.578,0.81,1.211,10.41,4.207,2,0.929 +6,B3 LM,CHURCHMAN BIBLE,3030.5,24.75,0.871,0.838,10.148,4.508,2,0.857 +8,B3 LM,CHURCHMAN BIBLE,3031,28.094,0.912,1.891,8.803,5.105,2,0.786 +6,B3 LM,CHURCHMAN BIBLE,3031.5,34.656,0.925,1.728,8.868,4.844,2,0.714 +7,B3 LM,CHURCHMAN BIBLE,3032,39.969,0.926,0.987,9.267,4.445,2,0.643 +7,B3 LM,CHURCHMAN BIBLE,3032.5,41.5,0.914,0.251,9.222,4.379,2,0.571 +7,B3 LM,CHURCHMAN BIBLE,3033,33.5,0.898,0.09,8.26,4.668,2,0.5 +7,B3 LM,CHURCHMAN BIBLE,3033.5,32.625,0.904,2.719,4.947,5.113,2,0.429 +6,B3 LM,CHURCHMAN BIBLE,3034,36.531,0.912,2.443,3.758,4.746,2,0.357 +6,B3 LM,CHURCHMAN BIBLE,3034.5,43.281,0.907,2.948,3.351,4.379,2,0.286 +8,B3 LM,CHURCHMAN BIBLE,3035,53.813,0.895,1.993,5.478,4.066,2,0.214 +8,B3 LM,CHURCHMAN BIBLE,3035.5,61.281,0.864,3.033,6.635,3.598,2,0.143 +2,B4 SH,CHURCHMAN BIBLE,3036,69.5,0.837,2.843,8.387,3.268,2,0.071 +2,B4 SH,CHURCHMAN BIBLE,3036.5,66.563,0.811,3.072,9.184,3.188,1,1 +2,B4 SH,CHURCHMAN BIBLE,3037,69.688,0.778,3.549,10.806,3.143,1,0.938 +2,B4 SH,CHURCHMAN BIBLE,3037.5,74.938,0.757,4.616,12.669,3.092,1,0.875 +2,B4 SH,CHURCHMAN BIBLE,3038,82.188,0.745,4.885,12.937,2.996,1,0.813 +2,B4 SH,CHURCHMAN BIBLE,3038.5,76.125,0.743,3.581,11.751,3.016,1,0.75 +2,B4 SH,CHURCHMAN BIBLE,3039,69.875,0.746,2.844,9.412,3.055,1,0.688 +2,B4 SH,CHURCHMAN BIBLE,3039.5,65.438,0.743,2.723,8.606,3.209,1,0.625 +2,B4 SH,CHURCHMAN BIBLE,3040,68.938,0.735,3.213,8.067,3.191,1,0.563 +2,B4 SH,CHURCHMAN BIBLE,3040.5,70.875,0.733,2.796,8.679,3.332,1,0.5 +2,B4 SH,CHURCHMAN BIBLE,3041,75.375,0.714,2.46,8.917,3.236,1,0.438 +3,B4 SH,CHURCHMAN BIBLE,3041.5,76.938,0.687,3.565,10.595,2.854,1,0.375 +3,B4 SH,CHURCHMAN BIBLE,3042,82.188,0.686,3.887,20.624,2.342,1,0.313 +3,B4 SH,CHURCHMAN BIBLE,3042.5,81.688,0.705,-1.003,35.378,2.123,1,0.25 +8,B4 LM,CHURCHMAN BIBLE,3044,49.438,0.752,-8.496,19.434,4.785,1,0.063 +8,B4 LM,CHURCHMAN BIBLE,3044.5,34.375,0.772,-1.453,12.196,5.039,2,1 +8,B4 LM,CHURCHMAN BIBLE,3045,32,0.817,0.486,11.281,4.742,2,0.929 +8,B4 LM,CHURCHMAN BIBLE,3045.5,31.516,0.886,-0.126,11.698,4.469,2,0.857 +8,B4 LM,CHURCHMAN BIBLE,3046,38.531,0.936,-0.711,11.453,4.668,2,0.786 +8,B4 LM,CHURCHMAN BIBLE,3046.5,50.094,0.959,-0.849,10.175,5.109,2,0.714 +8,B4 LM,CHURCHMAN BIBLE,3047,58.25,0.963,-1.205,9.017,5.641,2,0.643 +8,B4 LM,CHURCHMAN BIBLE,3047.5,62.125,0.956,-0.291,7.078,5.082,2,0.571 +6,B4 LM,CHURCHMAN BIBLE,3048,59.281,0.923,0.877,5.275,4.617,2,0.5 +6,B4 LM,CHURCHMAN BIBLE,3048.5,59.5,0.871,2.296,3.612,4.125,2,0.429 +6,B4 LM,CHURCHMAN BIBLE,3049,51.375,0.811,2.231,3.775,4.574,2,0.357 +6,B4 LM,CHURCHMAN BIBLE,3049.5,46.906,0.752,2.612,4.273,4.285,2,0.286 +6,B4 LM,CHURCHMAN BIBLE,3050,43.938,0.685,3.529,7.36,3.852,2,0.214 +4,B4 LM,CHURCHMAN BIBLE,3050.5,49.906,0.64,5.685,11.112,3.678,2,0.143 +6,B4 LM,CHURCHMAN BIBLE,3051,53.406,0.601,6.364,14.534,3.35,2,0.071 +8,B5 LM,CHURCHMAN BIBLE,3054,33.906,0.641,1.365,4.739,4.879,1,0.167 +8,B5 LM,CHURCHMAN BIBLE,3054.5,31.109,0.671,1.659,6.056,4.789,2,1 +8,B5 LM,CHURCHMAN BIBLE,3055,33.719,0.695,4.629,8.115,3.891,2,0.983 +8,B5 LM,CHURCHMAN BIBLE,3055.5,45.875,0.69,5.923,10.777,3.691,2,0.967 +7,B5 LM,CHURCHMAN BIBLE,3056,57.125,0.635,6.613,12.04,3.631,2,0.95 +7,B5 LM,CHURCHMAN BIBLE,3056.5,66.813,0.566,6.039,13.297,3.742,2,0.933 +7,B5 LM,CHURCHMAN BIBLE,3057,76.938,0.509,6.381,14.322,3.719,2,0.917 +7,B5 LM,CHURCHMAN BIBLE,3057.5,93.313,0.466,6.061,15.716,3.531,2,0.9 +7,B5 LM,CHURCHMAN BIBLE,3058,110.313,0.405,6.206,16.89,3.371,2,0.867 +7,B5 LM,CHURCHMAN BIBLE,3058.5,113.875,0.404,5.099,16.239,3.463,2,0.85 +7,B5 LM,CHURCHMAN BIBLE,3059,118.438,0.408,3.692,14.716,3.607,2,0.833 +7,B5 LM,CHURCHMAN BIBLE,3059.5,115.563,0.424,3.276,13.96,4.16,2,0.817 +7,B5 LM,CHURCHMAN BIBLE,3060,94.75,0.446,2.716,13.739,4.785,2,0.8 +8,B5 LM,CHURCHMAN BIBLE,3060.5,74.563,0.466,2.02,14.874,5.699,2,0.783 +8,B5 LM,CHURCHMAN BIBLE,3061,54.875,0.479,2.241,16.118,6.309,2,0.767 +9,B5 LM,CHURCHMAN BIBLE,3061.5,52.281,0.486,3.68,17.218,7.652,2,0.75 +9,B5 LM,CHURCHMAN BIBLE,3062,48.125,0.479,4.463,18.34,7.598,2,0.733 +9,B5 LM,CHURCHMAN BIBLE,3062.5,49.406,0.462,4.29,18.512,6.941,2,0.717 +9,B5 LM,CHURCHMAN BIBLE,3063,42.688,0.429,3.075,19.239,5.539,2,0.7 +9,B5 LM,CHURCHMAN BIBLE,3063.5,41.438,0.387,1.846,19.15,5.027,2,0.683 +9,B5 LM,CHURCHMAN BIBLE,3064,37.219,0.348,0.672,19.006,5.144,2,0.667 +9,B5 LM,CHURCHMAN BIBLE,3064.5,38.656,0.314,0.292,17.824,5.633,2,0.65 +9,B5 LM,CHURCHMAN BIBLE,3065,43,0.283,0.828,17.336,6.231,2,0.633 +9,B5 LM,CHURCHMAN BIBLE,3065.5,42.531,0.257,1.594,17.302,5.898,2,0.617 +9,B5 LM,CHURCHMAN BIBLE,3066,41.188,0.234,1.921,17.512,5.754,2,0.6 +9,B5 LM,CHURCHMAN BIBLE,3066.5,38.25,0.211,1.498,16.861,5.609,2,0.583 +9,B5 LM,CHURCHMAN BIBLE,3067,39.219,0.184,1.629,15.851,6.711,2,0.567 +9,B5 LM,CHURCHMAN BIBLE,3067.5,40.938,0.167,2.706,15.214,8.094,2,0.55 +9,B5 LM,CHURCHMAN BIBLE,3068,38,0.158,3.576,15.857,6.902,2,0.533 +9,B5 LM,CHURCHMAN BIBLE,3068.5,37.938,0.148,3.308,16.273,6.742,2,0.517 +9,B5 LM,CHURCHMAN BIBLE,3069,35.156,0.133,3.224,16.99,6.18,2,0.5 +9,B5 LM,CHURCHMAN BIBLE,3069.5,36.094,0.118,2.679,17.585,6.422,2,0.483 +9,B5 LM,CHURCHMAN BIBLE,3070,37.063,0.106,2.082,19.158,5.484,2,0.467 +9,B5 LM,CHURCHMAN BIBLE,3070.5,41,0.1,1.348,19.453,5.398,2,0.45 +9,B5 LM,CHURCHMAN BIBLE,3071,42.031,0.106,1.723,18.688,5.297,2,0.433 +9,B5 LM,CHURCHMAN BIBLE,3071.5,43.344,0.123,2.001,18.165,5.426,2,0.417 +9,B5 LM,CHURCHMAN BIBLE,3072,40.906,0.151,1.666,17.719,4.93,2,0.4 +9,B5 LM,CHURCHMAN BIBLE,3072.5,40.531,0.184,1.033,17.424,4.894,2,0.383 +9,B5 LM,CHURCHMAN BIBLE,3073,39.5,0.227,0.945,16.536,5.047,2,0.367 +9,B5 LM,CHURCHMAN BIBLE,3073.5,42.281,0.29,0.659,16.138,5.391,2,0.35 +9,B5 LM,CHURCHMAN BIBLE,3074,46.063,0.366,0.74,15.764,5.652,2,0.333 +9,B5 LM,CHURCHMAN BIBLE,3074.5,47.063,0.446,0.122,15.601,5.508,2,0.317 +9,B5 LM,CHURCHMAN BIBLE,3075,45.719,0.516,0.398,16.106,5.352,2,0.3 +9,B5 LM,CHURCHMAN BIBLE,3075.5,42.406,0.585,1.393,16.527,4.926,2,0.283 +9,B5 LM,CHURCHMAN BIBLE,3076,41.594,0.643,2.044,16.266,4.875,2,0.267 +9,B5 LM,CHURCHMAN BIBLE,3076.5,44.531,0.68,1.426,15.42,5.031,2,0.25 +9,B5 LM,CHURCHMAN BIBLE,3077,49.25,0.707,0.181,13.491,6.062,2,0.233 +9,B5 LM,CHURCHMAN BIBLE,3077.5,59.594,0.735,-0.061,11.536,6.227,2,0.217 +9,B5 LM,CHURCHMAN BIBLE,3078,74,0.768,0.243,9.67,5.672,2,0.2 +9,B5 LM,CHURCHMAN BIBLE,3078.5,127.5,0.802,1.28,8.876,4.406,2,0.183 +9,B5 LM,CHURCHMAN BIBLE,3079,185.25,0.83,3.48,7.995,3.912,2,0.167 +9,B5 LM,CHURCHMAN BIBLE,3079.5,222.5,0.852,4.614,6.959,3.557,2,0.15 +9,B5 LM,CHURCHMAN BIBLE,3080,74,0.768,0.243,9.67,5.672,2,0.2 +7,B5 LM,CHURCHMAN BIBLE,3080.5,127.5,0.802,1.28,8.876,4.406,2,0.183 +7,B5 LM,CHURCHMAN BIBLE,3081,185.25,0.83,3.48,7.995,3.912,2,0.167 +7,B5 LM,CHURCHMAN BIBLE,3081.5,222.5,0.852,4.614,6.959,3.557,2,0.15 +7,B5 LM,CHURCHMAN BIBLE,3082,202.625,0.867,4.225,6.225,3.69,2,0.133 +7,B5 LM,CHURCHMAN BIBLE,3082.5,177.5,0.86,4.381,4.896,3.836,2,0.117 +7,B5 LM,CHURCHMAN BIBLE,3083,174.75,0.844,5.123,3.813,3.852,2,0.1 +7,B5 LM,CHURCHMAN BIBLE,3083.5,184.125,0.812,6.249,3.565,3.828,2,0.083 +7,B5 LM,CHURCHMAN BIBLE,3084,184.125,0.812,6.249,3.565,3.828,2,0.083 +7,B5 LM,CHURCHMAN BIBLE,3084.5,178.625,0.758,7.296,5.302,3.494,2,0.067 +7,B5 LM,CHURCHMAN BIBLE,3085,154.75,0.701,7.562,7.965,3.551,2,0.05 +7,B5 LM,CHURCHMAN BIBLE,3085.5,128,0.641,7.388,10.874,3.33,2,0.033 +6,B5 LM,CHURCHMAN BIBLE,3086,110,0.59,5.83,12.286,3.416,2,0.017 +3,C SH,CHURCHMAN BIBLE,3086.5,99.688,0.551,4.46,12.63,3.172,1,1 +3,C SH,CHURCHMAN BIBLE,3087,100.875,0.529,2.024,19.217,2.367,1,0.971 +3,C SH,CHURCHMAN BIBLE,3087.5,94.375,0.52,-4.122,34.884,2.059,1,0.941 +3,C SH,CHURCHMAN BIBLE,3088,86.438,0.512,-6.8,48.597,1.814,1,0.912 +3,C SH,CHURCHMAN BIBLE,3088.5,74.563,0.511,-6.868,49.787,1.894,1,0.882 +3,C SH,CHURCHMAN BIBLE,3089,63.094,0.521,-2.572,40.316,2.52,1,0.824 +3,C SH,CHURCHMAN BIBLE,3089.5,60.938,0.526,2.082,38.69,2.504,1,0.794 +3,C SH,CHURCHMAN BIBLE,3090,62.344,0.535,2.334,38.486,2.443,1,0.765 +3,C SH,CHURCHMAN BIBLE,3090.5,63.938,0.542,3.223,38.574,2.393,1,0.735 +3,C SH,CHURCHMAN BIBLE,3091,65.688,0.547,3.429,37.294,2.66,1,0.706 +3,C SH,CHURCHMAN BIBLE,3091.5,67.313,0.551,2.625,34.093,2.795,1,0.676 +3,C SH,CHURCHMAN BIBLE,3092,74.688,0.546,2.915,31.412,2.838,1,0.647 +3,C SH,CHURCHMAN BIBLE,3092.5,75.813,0.554,3.902,29.545,2.674,1,0.588 +2,C SH,CHURCHMAN BIBLE,3093,70.25,0.567,4.708,28.983,2.395,1,0.559 +2,C SH,CHURCHMAN BIBLE,3093.5,68.625,0.596,3.409,32.479,2.186,1,0.529 +2,C SH,CHURCHMAN BIBLE,3094,69.313,0.626,-0.391,33.936,2.137,1,0.5 +2,C SH,CHURCHMAN BIBLE,3094.5,73.813,0.648,-4.575,32.261,2.383,1,0.471 +2,C SH,CHURCHMAN BIBLE,3095,70.625,0.676,-4.527,24.888,3.113,1,0.441 +2,C SH,CHURCHMAN BIBLE,3095.5,62.188,0.729,6.794,11.419,3.693,1,0.382 +2,C SH,CHURCHMAN BIBLE,3096,68.75,0.763,6.874,10.704,3.854,1,0.353 +2,C SH,CHURCHMAN BIBLE,3096.5,70.563,0.785,7.047,9.848,3.883,1,0.324 +2,C SH,CHURCHMAN BIBLE,3097,68.813,0.78,4.635,10.746,4.039,1,0.294 +2,C SH,CHURCHMAN BIBLE,3097.5,63.063,0.758,4.089,10.657,3.918,1,0.265 +2,C SH,CHURCHMAN BIBLE,3098,70,0.725,4.598,13.908,3.297,1,0.235 +2,C SH,CHURCHMAN BIBLE,3098.5,77.625,0.647,-2.975,36.031,2.361,1,0.176 +2,C SH,CHURCHMAN BIBLE,3099,79.125,0.609,-1.253,39.583,2.15,1,0.147 +2,C SH,CHURCHMAN BIBLE,3099.5,78.625,0.584,2.481,38.633,2.104,1,0.118 +2,C SH,CHURCHMAN BIBLE,3100,77.938,0.576,6.147,39.556,1.795,1,0.088 +2,C SH,CHURCHMAN BIBLE,3100.5,61.438,0.65,-0.749,53.678,1.524,1,0.029 +8,C LM,CHURCHMAN BIBLE,3101,50.313,0.71,-10.074,47.721,1.605,2,1 +8,C LM,CHURCHMAN BIBLE,3101.5,31.828,0.765,-21.832,35.162,2.533,2,0.992 +8,C LM,CHURCHMAN BIBLE,3102,22.641,0.839,-15.014,19.653,4.492,2,0.984 +8,C LM,CHURCHMAN BIBLE,3102.5,15.867,0.937,-5.427,9.48,4.785,2,0.976 +8,C LM,CHURCHMAN BIBLE,3103,14.469,1.058,-1.957,4.838,5.008,2,0.968 +8,C LM,CHURCHMAN BIBLE,3103.5,14.492,1.195,-1.133,3.037,5.02,2,0.96 +9,C LM,CHURCHMAN BIBLE,3104,18.297,1.294,0.227,2.8,4.66,2,0.952 +9,C LM,CHURCHMAN BIBLE,3104.5,26.609,1.273,1.905,3.905,4.656,2,0.944 +5,C LM,CHURCHMAN BIBLE,3105,36.469,1.223,3.264,5.72,4.516,2,0.935 +8,C LM,CHURCHMAN BIBLE,3105.5,37,1.157,3.449,6.707,4.051,2,0.927 +5,C LM,CHURCHMAN BIBLE,3106,33.375,1.069,3.075,6.104,3.863,2,0.919 +5,C LM,CHURCHMAN BIBLE,3106.5,28.922,0.994,2.703,5.159,3.945,2,0.911 +8,C LM,CHURCHMAN BIBLE,3107,27.438,0.974,1.928,4.957,4.527,2,0.903 +6,C LM,CHURCHMAN BIBLE,3107.5,26.953,0.978,1.977,5.006,4.793,2,0.895 +8,C LM,CHURCHMAN BIBLE,3108,30.734,0.991,1.552,5.382,4.738,2,0.887 +6,C LM,CHURCHMAN BIBLE,3108.5,32.219,1.013,1.342,5.055,4.637,2,0.879 +6,C LM,CHURCHMAN BIBLE,3109,37.688,1.04,0.681,4.739,4.539,2,0.871 +6,C LM,CHURCHMAN BIBLE,3109.5,35.844,1.044,0.96,3.533,4.832,2,0.863 +6,C LM,CHURCHMAN BIBLE,3110,42.156,1.051,1.448,3.337,4.797,2,0.855 +6,C LM,CHURCHMAN BIBLE,3110.5,42.094,1.057,2.736,4.051,4.5,2,0.847 +5,C LM,CHURCHMAN BIBLE,3111,49.719,1.06,3.092,5.893,3.83,2,0.839 +5,C LM,CHURCHMAN BIBLE,3111.5,46.219,1.062,3.018,6.503,3.434,2,0.831 +6,C LM,CHURCHMAN BIBLE,3112,42.313,1.05,2.245,5.958,3.318,2,0.823 +6,C LM,CHURCHMAN BIBLE,3112.5,36.031,1.028,1.193,5.936,3.393,2,0.815 +6,C LM,CHURCHMAN BIBLE,3113,32.594,1.014,0.662,5.978,3.422,2,0.806 +6,C LM,CHURCHMAN BIBLE,3113.5,37.094,1.005,0.377,6.605,3.697,2,0.798 +5,C LM,CHURCHMAN BIBLE,3114,40.031,1.027,0.615,6.27,4.035,2,0.79 +5,C LM,CHURCHMAN BIBLE,3114.5,42.5,1.057,0.672,5.871,4.422,2,0.782 +6,C LM,CHURCHMAN BIBLE,3115,39.719,1.087,0.648,4.479,4.203,2,0.774 +6,C LM,CHURCHMAN BIBLE,3115.5,38.844,1.109,1.025,2.686,3.908,2,0.766 +6,C LM,CHURCHMAN BIBLE,3116,41.719,1.107,0.659,2.32,3.943,2,0.758 +5,C LM,CHURCHMAN BIBLE,3116.5,44.75,1.085,1.165,2.937,4.02,2,0.75 +5,C LM,CHURCHMAN BIBLE,3117,46.469,1.07,1.872,5.013,4.156,2,0.742 +5,C LM,CHURCHMAN BIBLE,3117.5,51,1.061,3.76,6.445,3.828,2,0.734 +5,C LM,CHURCHMAN BIBLE,3118,55.563,1.052,4.296,7.325,3.805,2,0.726 +5,C LM,CHURCHMAN BIBLE,3118.5,58.313,1.034,3.863,7.465,3.584,2,0.718 +5,C LM,CHURCHMAN BIBLE,3119,55.344,1.003,2.225,7.541,3.645,2,0.71 +5,C LM,CHURCHMAN BIBLE,3119.5,53.313,0.972,1.64,7.295,3.629,2,0.702 +5,C LM,CHURCHMAN BIBLE,3120,49.594,0.954,1.494,7.149,3.727,2,0.694 +5,C LM,CHURCHMAN BIBLE,3120.5,46.719,0.947,1.828,7.254,3.617,2,0.685 +5,C LM,CHURCHMAN BIBLE,3121,44.563,0.953,2.241,8.013,3.344,2,0.677 +5,C LM,CHURCHMAN BIBLE,3121.5,49.719,0.964,2.925,8.013,3.19,2,0.669 +5,C LM,CHURCHMAN BIBLE,3122,51.469,0.965,3.083,7.708,3.152,2,0.661 +5,C LM,CHURCHMAN BIBLE,3122.5,50.031,0.97,2.609,6.668,3.295,2,0.653 +0,A1 SH,STUART,2808,66.276,0.63,3.3,10.65,3.591,1,1 +0,A1 SH,STUART,2808.5,77.252,0.585,6.5,11.95,3.341,1,0.978 +0,A1 SH,STUART,2809,82.899,0.566,9.4,13.6,3.064,1,0.956 +0,A1 SH,STUART,2809.5,80.671,0.593,9.5,13.25,2.977,1,0.933 +0,A1 SH,STUART,2810,75.971,0.638,8.7,12.35,3.02,1,0.911 +0,A1 SH,STUART,2810.5,73.955,0.667,6.9,12.25,3.086,1,0.889 +0,A1 SH,STUART,2811,77.962,0.674,6.5,12.45,3.092,1,0.867 +0,A1 SH,STUART,2811.5,83.894,0.667,6.3,12.65,3.123,1,0.844 +0,A1 SH,STUART,2812,84.424,0.653,6.7,13.05,3.121,1,0.822 +0,A1 SH,STUART,2812.5,83.16,0.642,7.3,12.95,3.127,1,0.8 +0,A1 SH,STUART,2813,79.063,0.651,7.3,12.05,3.147,1,0.778 +0,A1 SH,STUART,2813.5,69.002,0.677,6.2,10.8,3.096,1,0.756 +0,A1 SH,STUART,2814,63.983,0.69,4.4,9.7,3.103,1,0.733 +0,A1 SH,STUART,2814.5,61.797,0.675,3.5,9.15,3.101,1,0.711 +0,A1 SH,STUART,2815,61.372,0.646,2.8,9.3,3.065,1,0.689 +0,A1 SH,STUART,2815.5,63.535,0.621,2.8,9.8,2.982,1,0.667 +0,A1 SH,STUART,2816,65.126,0.6,3.3,10.55,2.914,1,0.644 +0,A1 SH,STUART,2816.5,75.93,0.576,3.4,11.9,2.845,1,0.6 +0,A1 SH,STUART,2817,85.077,0.584,4.4,12.9,2.854,1,0.578 +0,A1 SH,STUART,2817.5,89.459,0.598,6.6,13.5,2.986,1,0.556 +0,A1 SH,STUART,2818,88.619,0.61,7.2,14.8,2.988,1,0.533 +0,A1 SH,STUART,2818.5,81.593,0.636,6.4,13.9,2.998,1,0.511 +0,A1 SH,STUART,2819,66.595,0.702,2.8,11.4,2.988,1,0.489 +0,A1 SH,STUART,2819.5,55.081,0.789,2.7,8.15,3.028,1,0.467 +0,A1 SH,STUART,2820,48.112,0.84,1,7.5,3.073,1,0.444 +0,A1 SH,STUART,2820.5,43.73,0.846,0.4,7.1,3.146,1,0.422 +0,A1 SH,STUART,2821,44.097,0.84,0.7,6.65,3.205,1,0.4 +0,A1 SH,STUART,2821.5,46.839,0.842,0.8,6.6,3.254,1,0.378 +0,A1 SH,STUART,2822,50.348,0.843,1.1,6.75,3.23,1,0.356 +0,A1 SH,STUART,2822.5,57.129,0.822,2.2,7.3,3.237,1,0.333 +0,A1 SH,STUART,2823,64.465,0.777,4.4,8.4,3.259,1,0.311 +0,A1 SH,STUART,2823.5,70.267,0.729,7.1,9.85,3.289,1,0.289 +0,A1 SH,STUART,2824,76.566,0.664,10.7,11.55,3.381,1,0.244 +0,A1 SH,STUART,2824.5,76.778,0.643,10.7,12.25,3.452,1,0.222 +0,A1 SH,STUART,2825,73.971,0.632,9.7,12.55,3.396,1,0.2 +0,A1 SH,STUART,2825.5,74.314,0.622,8.8,13.1,3.144,1,0.178 +0,A1 SH,STUART,2826,77.031,0.583,4.8,16.2,3.034,1,0.156 +0,A1 SH,STUART,2826.5,74.469,0.517,4.8,19.2,2.931,1,0.133 +0,A1 SH,STUART,2827,73.327,0.489,6.3,20.35,2.88,1,0.111 +0,A1 SH,STUART,2827.5,74.575,0.526,4.9,19.25,2.795,1,0.089 +0,A1 SH,STUART,2828,70.536,0.558,6.5,17.05,3.009,1,0.067 +0,A1 SH,STUART,2828.5,62.939,0.528,7.6,18.8,3.073,1,0.044 +0,A1 SH,STUART,2829,57.137,0.511,10.9,19.15,3.313,1,0.022 +0,A1 LM,STUART,2829.5,47.345,0.584,7,16.3,3.527,2,1 +0,A1 LM,STUART,2830,35.733,0.73,6.4,10.2,3.928,2,0.987 +0,A1 LM,STUART,2830.5,29.327,0.873,2.7,7.85,4.33,2,0.974 +0,A1 LM,STUART,2831,28.242,0.963,1.4,6.3,4.413,2,0.961 +0,A1 LM,STUART,2831.5,34.558,1.018,1.8,5.6,4.511,2,0.947 +0,A1 LM,STUART,2832,43.754,1.054,1.8,5.2,4.412,2,0.934 +0,A1 LM,STUART,2832.5,53.612,1.067,1.5,5.05,4.226,2,0.921 +0,A1 LM,STUART,2833,60.719,1.039,1.9,4.85,3.931,2,0.908 +0,A1 LM,STUART,2833.5,66.538,0.94,2.7,5.45,3.703,2,0.895 +0,A1 LM,STUART,2834,75.522,0.801,4,7.3,3.501,2,0.882 +0,A1 LM,STUART,2834.5,95.979,0.692,6.5,9.55,3.346,2,0.868 +0,A1 LM,STUART,2835,130.26,0.644,8.3,11.15,3.242,2,0.855 +0,A1 LM,STUART,2835.5,160.167,0.643,9.3,12.15,3.294,2,0.842 +0,A1 LM,STUART,2836,176.528,0.673,9.1,12.05,3.298,2,0.829 +0,A1 LM,STUART,2836.5,175.622,0.72,8.9,12.15,3.349,2,0.816 +0,A1 LM,STUART,2837,153.965,0.756,7.6,11.9,3.31,2,0.803 +0,A1 LM,STUART,2837.5,120.076,0.766,7.2,12.2,3.365,2,0.789 +0,A1 LM,STUART,2838,91.434,0.787,7.1,12.15,3.392,2,0.776 +0,A1 LM,STUART,2838.5,69.312,0.874,4.6,10.4,3.293,2,0.763 +0,A1 LM,STUART,2839,54.828,1.029,0.8,8.2,3.395,2,0.75 +0,A1 LM,STUART,2839.5,50.854,1.149,0.3,6.85,3.5,2,0.737 +0,A1 LM,STUART,2840,54.632,1.09,1,7.4,3.576,2,0.724 +0,A1 LM,STUART,2840.5,56.835,0.924,4.1,8.45,3.555,2,0.711 +0,A1 LM,STUART,2841,60.393,0.788,7.1,10.05,3.591,2,0.697 +0,A1 LM,STUART,2841.5,58.94,0.733,8.1,11.15,3.576,2,0.684 +0,A1 LM,STUART,2842,49.719,0.754,6.1,10.75,3.669,2,0.671 +0,A1 LM,STUART,2842.5,41.404,0.819,3.5,9.55,3.872,2,0.658 +0,A1 LM,STUART,2843,36.084,0.882,1.6,8.2,4.125,2,0.645 +0,A1 LM,STUART,2843.5,29.344,0.897,0.1,7.25,4.23,2,0.632 +0,A1 LM,STUART,2844,24.072,0.841,-0.6,6.8,4.302,2,0.618 +0,A1 LM,STUART,2844.5,22.62,0.733,-2.5,7.65,4.348,2,0.605 +0,A1 LM,STUART,2845,22.408,0.597,-3.8,9.5,4.29,2,0.592 +0,A1 LM,STUART,2845.5,21.184,0.469,-2.7,11.05,4.255,2,0.579 +0,A1 LM,STUART,2846,21.796,0.375,-2.3,13.35,4.213,2,0.566 +0,A1 LM,STUART,2846.5,23.925,0.314,-1.8,15.1,4.363,2,0.553 +0,A1 LM,STUART,2847,24.464,0.278,-1.3,16.15,4.495,2,0.539 +0,A1 LM,STUART,2847.5,26.039,0.257,-1.9,16.55,4.602,2,0.526 +0,A1 LM,STUART,2848,27.491,0.247,-2.5,16.45,4.544,2,0.513 +0,A1 LM,STUART,2848.5,28.193,0.249,-2.4,16.3,4.587,2,0.5 +0,A1 LM,STUART,2849,28.634,0.265,-1.9,16.15,4.678,2,0.487 +0,A1 LM,STUART,2849.5,29.809,0.299,-1,15.2,4.866,2,0.474 +0,A1 LM,STUART,2850,31.172,0.349,-1.5,14.15,4.783,2,0.461 +0,A1 LM,STUART,2850.5,33.448,0.418,-1.1,12.65,4.688,2,0.447 +0,A1 LM,STUART,2851,33.514,0.503,-1.2,11.3,4.628,2,0.434 +0,A1 LM,STUART,2851.5,35.146,0.593,-0.5,10.05,4.387,2,0.421 +0,A1 LM,STUART,2852,35.953,0.671,-0.7,9.45,4.291,2,0.408 +0,A1 LM,STUART,2852.5,35.178,0.729,-0.6,9,4.178,2,0.395 +0,A1 LM,STUART,2853,36.109,0.773,0.1,8.35,4.203,2,0.382 +0,A1 LM,STUART,2853.5,38.769,0.82,1.3,7.55,4.262,2,0.368 +0,A1 LM,STUART,2854,39.511,0.873,1.3,7.05,4.387,2,0.355 +0,A1 LM,STUART,2854.5,40.523,0.927,2.6,6.5,4.006,2,0.342 +0,A1 LM,STUART,2855,42.694,0.964,2.8,6.8,3.718,2,0.329 +0,A1 LM,STUART,2855.5,45.297,0.959,3,7.3,3.594,2,0.316 +0,A1 LM,STUART,2856,48.145,0.915,3.8,8.2,3.46,2,0.303 +0,A1 LM,STUART,2856.5,51.041,0.862,5.9,8.75,3.333,2,0.289 +0,A1 LM,STUART,2857,56.125,0.825,7.4,9.3,3.336,2,0.276 +0,A1 LM,STUART,2857.5,62.205,0.807,6.4,9.9,3.362,2,0.263 +0,A1 LM,STUART,2858,64.865,0.794,4.7,10.25,3.244,2,0.25 +0,A1 LM,STUART,2858.5,68.186,0.771,4.1,10.25,3.174,2,0.237 +0,A1 LM,STUART,2859,72.421,0.743,4.1,10.55,3.174,2,0.224 +0,A1 LM,STUART,2859.5,74.322,0.73,4.5,10.65,3.187,2,0.211 +0,A1 LM,STUART,2860,72.543,0.748,4.1,10.35,3.359,2,0.197 +0,A1 LM,STUART,2860.5,65.672,0.814,3.5,9.05,3.618,2,0.184 +0,A1 LM,STUART,2861,57.153,0.951,1.7,6.75,3.902,2,0.171 +0,A1 LM,STUART,2861.5,46.056,1.148,0.1,4.55,4.221,2,0.158 +0,A1 LM,STUART,2862,37.961,1.324,0,3.3,4.561,2,0.145 +0,A1 LM,STUART,2862.5,33.579,1.402,-0.2,2.8,4.799,2,0.132 +0,A1 LM,STUART,2863,31.212,1.439,-0.4,2.7,4.874,2,0.118 +0,A1 LM,STUART,2863.5,30.176,1.486,-0.5,2.55,4.787,2,0.105 +0,A1 LM,STUART,2864,29.858,1.507,-0.7,2.75,4.622,2,0.092 +0,A1 LM,STUART,2864.5,29.923,1.433,-0.6,3.3,4.375,2,0.079 +0,A1 LM,STUART,2865,34.428,1.279,0,4,4.115,2,0.066 +0,A1 LM,STUART,2865.5,39.935,1.134,0.8,4.6,3.979,2,0.053 +0,A1 LM,STUART,2866,39.935,1.134,0.8,4.6,3.979,2,0.053 +0,A1 LM,STUART,2866.5,46.823,1.05,1.3,5.15,3.727,2,0.039 +0,A1 LM,STUART,2867,57.969,1.01,2,5.2,3.537,2,0.026 +0,A1 LM,STUART,2867.5,71.246,0.954,2.3,5.65,3.482,2,0.013 +0,B1 SH,STUART,2868,82.548,0.843,3.2,7.2,3.532,1,1 +0,B1 SH,STUART,2868.5,92.119,0.718,4.9,8.95,3.484,1,0.968 +0,B1 SH,STUART,2869,93.564,0.635,7,11.1,3.402,1,0.935 +0,B1 SH,STUART,2869.5,86.26,0.615,9,11.9,3.486,1,0.903 +0,B1 SH,STUART,2870,77.097,0.637,9.5,11.25,3.56,1,0.871 +0,B1 SH,STUART,2870.5,67.68,0.651,9.2,10.7,3.473,1,0.839 +0,B1 SH,STUART,2871,64.049,0.639,8.5,10.65,3.401,1,0.806 +0,B1 SH,STUART,2871.5,67.566,0.621,7.5,11.45,3.307,1,0.774 +0,B1 SH,STUART,2872,69.728,0.604,7.1,12.45,3.28,1,0.742 +0,B1 SH,STUART,2872.5,67.966,0.582,8.3,13.45,3.253,1,0.71 +0,B1 SH,STUART,2873,65.803,0.565,9.6,13.5,3.284,1,0.677 +0,B1 SH,STUART,2873.5,62.351,0.575,10.1,11.85,3.405,1,0.645 +0,B1 SH,STUART,2874,59.512,0.621,10.1,9.65,3.504,1,0.613 +0,B1 SH,STUART,2874.5,61.176,0.691,9.9,8.15,3.587,1,0.581 +0,B1 SH,STUART,2875,65.754,0.751,9.6,7.7,3.605,1,0.548 +0,B1 SH,STUART,2875.5,66.66,0.768,9,8.2,3.505,1,0.516 +0,B1 SH,STUART,2876,64.604,0.742,8,8.9,3.411,1,0.484 +0,B1 SH,STUART,2876.5,61.699,0.696,7,9.2,3.319,1,0.452 +0,B1 SH,STUART,2877,58.353,0.657,5.6,9.3,3.265,1,0.419 +0,B1 SH,STUART,2877.5,55.929,0.64,4.2,9.2,3.167,1,0.387 +0,B1 SH,STUART,2878,57.414,0.64,4,9.1,3.181,1,0.355 +0,B1 SH,STUART,2878.5,60.393,0.64,3.8,9.3,3.133,1,0.323 +0,B1 SH,STUART,2879,65.901,0.636,4.2,9.9,3.163,1,0.29 +0,B1 SH,STUART,2879.5,71.385,0.635,5.8,10.8,3.131,1,0.258 +0,B1 SH,STUART,2880,75.816,0.625,4.9,13.55,2.997,1,0.226 +0,B1 SH,STUART,2880.5,75.334,0.587,5.6,15.9,2.938,1,0.194 +0,B1 SH,STUART,2881,72.69,0.558,4.8,18.5,2.969,1,0.129 +0,B1 SH,STUART,2881.5,68.635,0.558,6.9,19.45,3.104,1,0.097 +0,B1 SH,STUART,2882,60.695,0.52,7.5,21.25,3.147,1,0.065 +0,B1 SH,STUART,2882.5,51.645,0.501,5.6,18.1,3.354,1,0.032 +0,B1 LM,STUART,2883,41.918,0.548,7,10.9,3.764,2,1 +0,B1 LM,STUART,2883.5,32.991,0.633,7.7,6.35,4.109,2,0.968 +0,B1 LM,STUART,2884,28.258,0.705,5,6.1,4.154,2,0.935 +0,B1 LM,STUART,2884.5,26.635,0.769,4.1,5.35,4.321,2,0.903 +0,B1 LM,STUART,2885,25.541,0.847,3.6,4.8,4.476,2,0.871 +0,B1 LM,STUART,2885.5,23.795,0.948,2.3,4.45,4.565,2,0.839 +0,B1 LM,STUART,2886,20.719,1.061,2.2,3.5,4.615,2,0.806 +0,B1 LM,STUART,2886.5,18.499,1.139,2.4,3.2,4.696,2,0.774 +0,B1 LM,STUART,2887,19.446,1.118,1.5,4.65,4.668,2,0.742 +0,B1 LM,STUART,2887.5,21.388,1.019,1,7.1,4.579,2,0.71 +0,B1 LM,STUART,2888,24.178,0.908,1.2,9.2,4.292,2,0.677 +0,B1 LM,STUART,2888.5,27.638,0.812,0,11.1,4.046,2,0.645 +0,B1 LM,STUART,2889,31.669,0.724,0.9,11.45,3.822,2,0.613 +0,B1 LM,STUART,2889.5,39.389,0.627,3.4,11.2,3.629,2,0.581 +0,B1 LM,STUART,2890,49.385,0.535,6.4,11.5,3.517,2,0.548 +0,B1 LM,STUART,2890.5,58.516,0.488,9,11.4,3.474,2,0.516 +0,B1 LM,STUART,2891,66.619,0.511,9.2,10.8,3.613,2,0.484 +0,B1 LM,STUART,2891.5,67.296,0.602,6.4,9.5,3.862,2,0.452 +0,B1 LM,STUART,2892,57.798,0.745,3.7,8.25,4.052,2,0.419 +0,B1 LM,STUART,2892.5,48.169,0.912,1.1,7.45,4.241,2,0.387 +0,B1 LM,STUART,2893,41.437,1.045,0.4,6.3,4.476,2,0.355 +0,B1 LM,STUART,2893.5,39.348,1.117,0.1,5.35,4.712,2,0.323 +0,B1 LM,STUART,2894,49.312,1.144,1,4.5,4.56,2,0.29 +0,B1 LM,STUART,2894.5,61.984,1.143,0.7,4.85,4.605,2,0.258 +0,B1 LM,STUART,2895,73.506,1.122,0.9,5.75,4.574,2,0.226 +0,B1 LM,STUART,2895.5,74.208,1.095,0.3,6.85,4.478,2,0.194 +0,B1 LM,STUART,2896,67.819,1.072,-0.7,7.55,4.444,2,0.161 +0,B1 LM,STUART,2896.5,61.625,1.057,-1.2,7.4,4.439,2,0.129 +0,B1 LM,STUART,2897,61.625,1.057,-1.2,7.4,4.439,2,0.129 +0,B1 LM,STUART,2897.5,55.481,1.041,-0.9,6.55,4.335,2,0.097 +0,B1 LM,STUART,2898,57.251,0.98,-0.1,5.75,3.907,2,0.065 +0,B1 LM,STUART,2898.5,67.28,0.84,-0.6,7.1,3.58,2,0.032 +0,B2 SH,STUART,2899,76.02,0.686,0.7,9.45,3.23,1,1 +0,B2 SH,STUART,2899.5,84.457,0.603,2.5,12.45,2.967,1,0.947 +0,B2 SH,STUART,2900,89.019,0.595,4.6,14.9,2.794,1,0.895 +0,B2 SH,STUART,2900.5,89.933,0.591,3.9,18.55,2.789,1,0.842 +0,B2 SH,STUART,2901,89.386,0.539,4.5,22.55,2.861,1,0.789 +0,B2 SH,STUART,2901.5,89.427,0.479,6.2,25.4,2.935,1,0.737 +0,B2 SH,STUART,2902,87.517,0.461,7.6,24.4,3.128,1,0.684 +0,B2 SH,STUART,2902.5,83.747,0.485,8.7,23.15,3.284,1,0.632 +0,B2 SH,STUART,2903,78.304,0.541,6.1,21.25,3.332,1,0.579 +0,B2 SH,STUART,2903.5,71.858,0.635,8.5,15.95,3.485,1,0.526 +0,B2 SH,STUART,2904,64.701,0.737,5,15.7,3.471,1,0.474 +0,B2 SH,STUART,2904.5,64.293,0.752,1.7,17.15,3.45,1,0.421 +0,B2 SH,STUART,2905,67.158,0.686,-0.3,19.95,3.276,1,0.368 +0,B2 SH,STUART,2905.5,72.478,0.631,0.2,20.4,3.171,1,0.316 +0,B2 SH,STUART,2906,78.068,0.614,5,18.1,3.252,1,0.211 +0,B2 SH,STUART,2906.5,73.008,0.592,2.4,20.1,3.175,1,0.158 +0,B2 SH,STUART,2907,64.644,0.543,1.7,22.35,3.302,1,0.105 +0,B2 SH,STUART,2907.5,49.801,0.538,0,20.8,3.551,1,0.053 +0,B2 LM,STUART,2908,35.937,0.628,-2.8,16.8,3.96,2,1 +0,B2 LM,STUART,2908.5,24.203,0.743,-0.3,12.35,4.454,2,0.963 +0,B2 LM,STUART,2909,15.986,0.777,-0.2,11.5,4.657,2,0.926 +0,B2 LM,STUART,2909.5,12.036,0.773,-0.5,10.55,4.594,2,0.889 +0,B2 LM,STUART,2910,12.746,0.787,-1.2,9.2,4.437,2,0.852 +0,B2 LM,STUART,2910.5,14.843,0.809,-1.6,7.7,4.351,2,0.815 +0,B2 LM,STUART,2911,17.087,0.806,-1,6.8,4.242,2,0.778 +0,B2 LM,STUART,2911.5,17.977,0.765,0.3,6.45,4.105,2,0.741 +0,B2 LM,STUART,2912,18.834,0.701,-0.1,7.15,4.279,2,0.704 +0,B2 LM,STUART,2912.5,19.258,0.644,0.4,7.4,4.669,2,0.667 +0,B2 LM,STUART,2913,19.062,0.61,0.6,7.8,5.19,2,0.63 +0,B2 LM,STUART,2913.5,18.638,0.6,1.8,7.6,5.527,2,0.593 +0,B2 LM,STUART,2914,19.462,0.598,3.4,6.8,6.321,2,0.556 +0,B2 LM,STUART,2914.5,19.552,0.581,3.1,6.95,6.16,2,0.519 +0,B2 LM,STUART,2915,20.653,0.529,0.9,8.65,5.865,2,0.481 +0,B2 LM,STUART,2915.5,23.371,0.45,-1,11.3,5.315,2,0.444 +0,B2 LM,STUART,2916,25.468,0.391,-1.3,13.75,4.918,2,0.407 +0,B2 LM,STUART,2916.5,26.292,0.377,-2.3,14.85,4.521,2,0.37 +0,B2 LM,STUART,2917,27.736,0.411,-3.6,14.1,4.443,2,0.333 +0,B2 LM,STUART,2917.5,29.784,0.482,-3.1,11.85,4.347,2,0.296 +0,B2 LM,STUART,2918,31.041,0.578,-2.2,9.4,4.416,2,0.259 +0,B2 LM,STUART,2918.5,30.837,0.683,-0.4,7.4,4.394,2,0.222 +0,B2 LM,STUART,2919,32.64,0.807,1,5.6,4.343,2,0.185 +0,B2 LM,STUART,2919.5,33.571,0.942,1.6,4.5,4.086,2,0.148 +0,B2 LM,STUART,2920,39.56,1.003,1.9,4.55,3.811,2,0.111 +0,B2 LM,STUART,2920.5,47.475,0.931,1.5,6.15,3.625,2,0.074 +0,B2 LM,STUART,2921,56.443,0.821,2.3,8.05,3.393,2,0.037 +0,B3 SH,STUART,2921.5,64.799,0.751,3.4,9.6,3.12,1,1 +0,B3 SH,STUART,2922,69.72,0.711,3,12.4,3.03,1,0.95 +0,B3 SH,STUART,2922.5,72.511,0.637,3.5,16.35,2.984,1,0.9 +0,B3 SH,STUART,2923,74.698,0.525,5.4,20.8,2.915,1,0.85 +0,B3 SH,STUART,2923.5,74.698,0.525,5.4,20.8,2.915,1,0.85 +0,B3 SH,STUART,2924,73.425,0.458,5.2,21.6,2.92,1,0.8 +0,B3 SH,STUART,2924.5,71.328,0.486,3.1,17.35,2.995,1,0.75 +0,B3 SH,STUART,2925,68.937,0.587,4.1,13.25,3.122,1,0.7 +0,B3 SH,STUART,2925.5,66.562,0.671,1.3,13.25,3.243,1,0.65 +0,B3 SH,STUART,2926,64.636,0.663,3.2,13.3,3.324,1,0.6 +0,B3 SH,STUART,2926.5,66.619,0.625,4,13.6,3.33,1,0.55 +0,B3 SH,STUART,2927,66.619,0.625,4,13.6,3.33,1,0.55 +0,B3 SH,STUART,2927.5,65.624,0.635,3.2,12.4,3.309,1,0.5 +0,B3 SH,STUART,2928,65.322,0.68,3.3,9.65,3.315,1,0.45 +0,B3 SH,STUART,2928.5,67.035,0.707,2.4,8.6,3.232,1,0.4 +0,B3 SH,STUART,2929,68.194,0.693,3,8.8,3.157,1,0.35 +0,B3 SH,STUART,2929.5,69.149,0.646,3,10.4,3.034,1,0.3 +0,B3 SH,STUART,2930,72.201,0.588,3.2,13.2,3.052,1,0.25 +0,B3 SH,STUART,2930.5,73.776,0.542,4.4,16,3.132,1,0.2 +0,B3 SH,STUART,2931,72.609,0.525,5.5,17.55,3.31,1,0.15 +0,B3 SH,STUART,2931.5,66.864,0.55,5.3,16.55,3.625,1,0.1 +0,B3 SH,STUART,2932,53.702,0.62,5.7,13.75,4.003,1,0.05 +0,B3 LM,STUART,2932.5,40.474,0.713,4.7,11.15,4.278,2,1 +0,B3 LM,STUART,2933,28.12,0.774,2.2,10.5,4.537,2,0.9 +0,B3 LM,STUART,2933.5,20.213,0.769,-1.1,10.95,4.682,2,0.8 +0,B3 LM,STUART,2934,19.193,0.732,-1,11.1,4.546,2,0.7 +0,B3 LM,STUART,2934.5,20.449,0.699,-0.7,10.65,4.386,2,0.6 +0,B3 LM,STUART,2935,21.355,0.679,-0.1,9.95,4.28,2,0.5 +0,B3 LM,STUART,2935.5,21.641,0.668,1.3,8.95,4.221,2,0.4 +0,B3 LM,STUART,2936,24.203,0.653,2.6,8.3,4.099,2,0.3 +0,B3 LM,STUART,2936.5,34.574,0.613,2.4,9,3.66,2,0.2 +0,B3 LM,STUART,2937,45.231,0.548,2.3,10.45,3.496,2,0.1 +0,B4 SH,STUART,2937.5,56.427,0.498,2.9,11.35,3.338,1,1 +0,B4 SH,STUART,2938,67.06,0.504,1.7,11.65,3.135,1,0.944 +0,B4 SH,STUART,2938.5,70.838,0.558,2,10.8,3.012,1,0.889 +0,B4 SH,STUART,2939,69.932,0.612,3.3,10.05,3.066,1,0.833 +0,B4 SH,STUART,2939.5,74.526,0.633,4.1,10.25,3.109,1,0.778 +0,B4 SH,STUART,2940,77.611,0.626,5,11,3.063,1,0.722 +0,B4 SH,STUART,2940.5,78.59,0.605,5.9,11.55,3.092,1,0.667 +0,B4 SH,STUART,2941,76.729,0.591,5.7,11.95,3.051,1,0.611 +0,B4 SH,STUART,2941.5,74.11,0.608,3.7,10.95,3.07,1,0.556 +0,B4 SH,STUART,2942,66.407,0.653,2.2,9.6,2.997,1,0.5 +0,B4 SH,STUART,2942.5,64.081,0.693,1.4,8.6,3.093,1,0.444 +0,B4 SH,STUART,2943,65.885,0.705,0.9,8.55,3.106,1,0.389 +0,B4 SH,STUART,2943.5,70.299,0.696,1.4,9,3.085,1,0.333 +0,B4 SH,STUART,2944,70.299,0.696,1.4,9,3.085,1,0.333 +0,B4 SH,STUART,2944.5,74.551,0.677,3.1,9.65,3.066,1,0.278 +0,B4 SH,STUART,2945,79.659,0.643,3.4,12.5,2.902,1,0.222 +0,B4 SH,STUART,2945.5,80.402,0.573,-2.8,19.3,2.982,1,0.167 +0,B4 SH,STUART,2946,74.649,0.483,-0.5,23.95,3.14,1,0.111 +0,B4 SH,STUART,2946.5,63.429,0.461,0.2,24.2,3.394,1,0.056 +0,B4 LM,STUART,2947,47.916,0.598,-7.6,18.9,3.762,2,1 +0,B4 LM,STUART,2947.5,32.469,0.912,-1.4,9.8,4.314,2,0.929 +0,B4 LM,STUART,2948,20.718,1.222,-2.9,7.85,4.863,2,0.857 +0,B4 LM,STUART,2948.5,15.015,1.233,-1.6,6.4,4.813,2,0.786 +0,B4 LM,STUART,2949,14.084,1.084,-1.1,6.55,4.644,2,0.714 +0,B4 LM,STUART,2949.5,15.937,0.962,-0.4,7.4,4.634,2,0.643 +0,B4 LM,STUART,2950,19.348,0.901,-1,7.9,4.545,2,0.571 +0,B4 LM,STUART,2950.5,21.469,0.906,-1.1,6.75,4.576,2,0.5 +0,B4 LM,STUART,2951,22.587,0.969,-1.4,5.5,4.527,2,0.429 +0,B4 LM,STUART,2951.5,25.721,1.079,-0.9,4.45,4.512,2,0.357 +0,B4 LM,STUART,2952,29.45,1.2,0,4,4.437,2,0.286 +0,B4 LM,STUART,2952.5,36.313,1.169,-3.3,6.95,3.97,2,0.214 +0,B4 LM,STUART,2953,49.491,0.909,-8.9,13.85,3.695,2,0.143 +0,B5 SH,STUART,2953.5,69.222,0.469,-6,27.9,3.351,1,1 +0,B5 SH,STUART,2954,70.968,0.444,-2.5,28.85,3.49,1,0.75 +0,B5 SH,STUART,2954.5,65.379,0.501,-0.3,22.75,3.9,1,0.5 +0,B5 SH,STUART,2955,54.093,0.56,-0.5,16.75,4.126,1,0.25 +0,B5 LM,STUART,2955.5,41.633,0.541,3.9,11.55,4.482,2,1 +0,B5 LM,STUART,2956,33.644,0.439,3.8,11.7,4.707,2,0.976 +0,B5 LM,STUART,2956.5,28.977,0.321,1.3,14.45,4.447,2,0.951 +0,B5 LM,STUART,2957,24.611,0.232,-1.1,17.25,4.481,2,0.927 +0,B5 LM,STUART,2957.5,24.154,0.184,-2.9,19.65,4.327,2,0.902 +0,B5 LM,STUART,2958,25.639,0.173,-2.4,20.5,4.302,2,0.878 +0,B5 LM,STUART,2958.5,25.957,0.191,-2.4,19.9,4.294,2,0.854 +0,B5 LM,STUART,2959,38.965,0.266,-2.1,17.05,4.228,2,0.805 +0,B5 LM,STUART,2959.5,45.354,0.301,0.2,14.8,4.127,2,0.78 +0,B5 LM,STUART,2960,53.645,0.327,2.6,12.6,3.908,2,0.756 +0,B5 LM,STUART,2960.5,60.164,0.338,3.8,12.2,3.74,2,0.732 +0,B5 LM,STUART,2961,64.032,0.334,5.5,13.15,3.538,2,0.707 +0,B5 LM,STUART,2961.5,66.774,0.323,7.9,14.75,3.558,2,0.683 +0,B5 LM,STUART,2962,68.423,0.313,8.1,15.75,3.476,2,0.659 +0,B5 LM,STUART,2962.5,63.502,0.318,6.1,14.75,3.682,2,0.634 +0,B5 LM,STUART,2963,57.904,0.349,2.8,12.9,3.937,2,0.61 +0,B5 LM,STUART,2963.5,52.935,0.415,2.3,10.25,4.133,2,0.585 +0,B5 LM,STUART,2964,45.125,0.507,2.3,8.45,4.248,2,0.561 +0,B5 LM,STUART,2964.5,39.927,0.605,3.5,6.75,4.468,2,0.537 +0,B5 LM,STUART,2965,36.215,0.703,2.4,6,4.575,2,0.512 +0,B5 LM,STUART,2965.5,31.253,0.787,2.3,4.45,4.557,2,0.488 +0,B5 LM,STUART,2966,28.446,0.832,2.2,3.4,4.573,2,0.463 +0,B5 LM,STUART,2966.5,27.296,0.821,1.2,4.4,4.79,2,0.439 +0,B5 LM,STUART,2967,28.944,0.755,-0.4,7.3,4.887,2,0.415 +0,B5 LM,STUART,2967.5,31.596,0.659,-1.6,11,4.824,2,0.39 +0,B5 LM,STUART,2968,33.212,0.574,-3.1,14.45,4.765,2,0.366 +0,B5 LM,STUART,2968.5,34.689,0.517,-3,16.4,4.766,2,0.341 +0,B5 LM,STUART,2969,39.266,0.493,-1.9,16.15,4.705,2,0.317 +0,B5 LM,STUART,2969.5,50.103,0.499,-2,14.6,4.453,2,0.293 +0,B5 LM,STUART,2970,65.167,0.525,-1.6,13.1,4.366,2,0.268 +0,B5 LM,STUART,2970.5,76.436,0.557,-0.6,11.7,4.289,2,0.244 +0,B5 LM,STUART,2971,92.886,0.628,-0.2,9.4,4.272,2,0.195 +0,B5 LM,STUART,2971.5,99.643,0.683,-0.3,7.95,4.395,2,0.171 +0,B5 LM,STUART,2972,101.585,0.757,0,6.5,4.51,2,0.146 +0,B5 LM,STUART,2972.5,95.775,0.85,1.6,4.9,4.53,2,0.122 +0,B5 LM,STUART,2973,87.036,0.951,2.1,3.95,4.456,2,0.098 +0,B5 LM,STUART,2973.5,72.331,1.019,2.6,3.6,4.056,2,0.073 +0,B5 LM,STUART,2974,58.859,0.991,3.4,3.9,3.712,2,0.049 +0,B5 LM,STUART,2974.5,60.932,0.857,1.3,7.35,3.371,2,0.024 +0,C SH,STUART,2975,67.655,0.675,-0.8,14.4,3.131,1,1 +0,C SH,STUART,2975.5,77.219,0.528,6.8,20.9,3.008,1,0.977 +0,C SH,STUART,2976,82.115,0.459,10.6,24.2,2.988,1,0.953 +0,C SH,STUART,2976.5,84.865,0.446,9.4,23.7,3.134,1,0.93 +0,C SH,STUART,2977,84.384,0.449,13.3,21.45,3.409,1,0.907 +0,C SH,STUART,2977.5,81.772,0.443,14.8,20.9,3.483,1,0.884 +0,C SH,STUART,2978,78.998,0.444,16.5,20.65,3.438,1,0.837 +0,C SH,STUART,2978.5,79.896,0.457,14.9,20.15,3.423,1,0.814 +0,C SH,STUART,2979,79.194,0.462,14.8,19.9,3.45,1,0.791 +0,C SH,STUART,2979.5,78.99,0.451,13.5,19.65,3.393,1,0.767 +0,C SH,STUART,2980,79.21,0.441,15.1,18.95,3.475,1,0.744 +0,C SH,STUART,2980.5,78.1,0.451,15.6,17.5,3.478,1,0.721 +0,C SH,STUART,2981,78.59,0.489,14.3,16.75,3.505,1,0.698 +0,C SH,STUART,2981.5,79.439,0.544,12.7,15.25,3.478,1,0.674 +0,C SH,STUART,2982,81.299,0.576,11.5,14.65,3.453,1,0.651 +0,C SH,STUART,2982.5,78.933,0.494,11.9,14.85,3.479,1,0.605 +0,C SH,STUART,2983,79.471,0.441,13.4,16.3,3.494,1,0.581 +0,C SH,STUART,2983.5,81.895,0.431,14.2,16.8,3.441,1,0.558 +0,C SH,STUART,2984,82.768,0.468,14.3,16.05,3.493,1,0.535 +0,C SH,STUART,2984.5,79.022,0.537,12.9,15.05,3.5,1,0.512 +0,C SH,STUART,2985,76.746,0.601,11.4,13.8,3.441,1,0.488 +0,C SH,STUART,2985.5,73.066,0.638,11.1,13.25,3.426,1,0.465 +0,C SH,STUART,2986,70.356,0.651,11,13.1,3.447,1,0.442 +0,C SH,STUART,2986.5,74.608,0.621,10.5,14.85,3.399,1,0.395 +0,C SH,STUART,2987,73.008,0.585,11.1,15.15,3.393,1,0.372 +0,C SH,STUART,2987.5,70.438,0.546,12.1,15.15,3.439,1,0.349 +0,C SH,STUART,2988,68.08,0.5,13.5,14.65,3.478,1,0.326 +0,C SH,STUART,2988.5,66.75,0.46,13.6,15.2,3.461,1,0.302 +0,C SH,STUART,2989,69.451,0.455,13.4,14.8,3.494,1,0.279 +0,C SH,STUART,2989.5,75.946,0.494,14.2,14,3.541,1,0.256 +0,C SH,STUART,2990,80.344,0.556,11.8,13.6,3.522,1,0.233 +0,C SH,STUART,2990.5,83.772,0.616,10.4,12.9,3.476,1,0.186 +0,C SH,STUART,2991,84.767,0.618,10.7,12.55,3.39,1,0.163 +0,C SH,STUART,2991.5,84.09,0.616,9.4,13.4,3.289,1,0.14 +0,C SH,STUART,2992,86.628,0.601,8.8,14.4,3.19,1,0.116 +0,C SH,STUART,2992.5,90.43,0.556,2,21.4,3.045,1,0.093 +0,C SH,STUART,2993,87.077,0.498,2,26.4,3.088,1,0.07 +0,C SH,STUART,2993.5,76.623,0.479,5.3,28.45,3.224,1,0.047 +0,C SH,STUART,2994,62.768,0.546,3.2,26.3,3.334,1,0.023 +0,C LM,STUART,2994.5,43.738,0.703,1.8,19.3,3.876,2,1 +0,C LM,STUART,2995,27.859,0.855,6.9,11.75,4.508,2,0.993 +0,C LM,STUART,2995.5,18.034,0.879,5.3,9.55,4.815,2,0.985 +0,C LM,STUART,2996,13.203,0.83,3,9.1,4.863,2,0.978 +0,C LM,STUART,2996.5,12.762,0.767,2,8.9,5.024,2,0.97 +0,C LM,STUART,2997,14.843,0.702,1.8,9.2,4.616,2,0.963 +0,C LM,STUART,2997.5,19.087,0.644,0.4,10.4,4.172,2,0.955 +0,C LM,STUART,2998,19.087,0.644,0.4,10.4,4.172,2,0.955 +0,C LM,STUART,2998.5,25.207,0.601,-0.2,10.7,3.97,2,0.948 +0,C LM,STUART,2999,27.997,0.587,1.1,10.25,3.933,2,0.94 +0,C LM,STUART,2999.5,28.822,0.602,2.2,10,3.875,2,0.933 +0,C LM,STUART,3000,28.618,0.622,1.9,10.35,3.969,2,0.925 +0,C LM,STUART,3000.5,24.815,0.612,0.7,11.15,4.118,2,0.918 +0,C LM,STUART,3001,23.371,0.575,0.2,11.8,4.243,2,0.91 +0,C LM,STUART,3001.5,23.052,0.542,0.1,12.35,4.196,2,0.903 +0,C LM,STUART,3002,23.109,0.522,-0.1,12.15,4.192,2,0.896 +0,C LM,STUART,3002.5,24.138,0.511,-0.3,12.05,3.978,2,0.888 +0,C LM,STUART,3003,24.448,0.511,-0.1,11.75,3.975,2,0.881 +0,C LM,STUART,3003.5,25.419,0.523,0,11.6,3.962,2,0.873 +0,C LM,STUART,3004,26.724,0.56,-0.7,11.35,3.99,2,0.866 +0,C LM,STUART,3004.5,29.213,0.623,-0.8,10.7,3.885,2,0.858 +0,C LM,STUART,3005,34.036,0.686,0.4,9.4,3.816,2,0.851 +0,C LM,STUART,3005.5,38.157,0.716,1.7,7.75,3.66,2,0.843 +0,C LM,STUART,3006,40.45,0.701,1.8,6.8,3.544,2,0.836 +0,C LM,STUART,3006.5,41.576,0.662,3.5,6.45,3.392,2,0.828 +0,C LM,STUART,3007,40.123,0.633,3.7,7.35,3.24,2,0.821 +0,C LM,STUART,3007.5,36.663,0.632,3.4,8.1,3.212,2,0.813 +0,C LM,STUART,3008,32.706,0.65,3.8,8.3,3.253,2,0.806 +0,C LM,STUART,3008.5,30.323,0.672,3.4,8.7,3.289,2,0.799 +0,C LM,STUART,3009,28.601,0.694,3,9.4,3.314,2,0.791 +0,C LM,STUART,3009.5,28.169,0.721,2.4,9.7,3.262,2,0.784 +0,C LM,STUART,3010,29.442,0.756,1.4,9.8,3.31,2,0.776 +0,C LM,STUART,3010.5,30.878,0.795,0.7,9.55,3.359,2,0.769 +0,C LM,STUART,3011,32.151,0.832,0.1,9.35,3.409,2,0.761 +0,C LM,STUART,3011.5,33.677,0.856,0.4,9.1,3.417,2,0.754 +0,C LM,STUART,3012,33.701,0.872,1.1,8.95,3.444,2,0.746 +0,C LM,STUART,3012.5,35.105,0.889,1.5,8.75,3.466,2,0.739 +0,C LM,STUART,3013,37.104,0.914,1.6,8.6,3.49,2,0.731 +0,C LM,STUART,3013.5,37.349,0.939,2.1,7.95,3.418,2,0.724 +0,C LM,STUART,3014,37.936,0.952,2.4,7.7,3.504,2,0.716 +0,C LM,STUART,3014.5,39.087,0.953,2.1,7.75,3.511,2,0.709 +0,C LM,STUART,3015,38.059,0.951,1.7,7.55,3.55,2,0.701 +0,C LM,STUART,3015.5,37.202,0.952,2.2,7.3,3.603,2,0.694 +0,C LM,STUART,3016,37.218,0.951,1.8,7.5,3.675,2,0.687 +0,C LM,STUART,3016.5,37.781,0.949,1.4,7.6,3.741,2,0.679 +0,C LM,STUART,3017,40.164,0.948,1.5,7.35,3.735,2,0.672 +0,C LM,STUART,3017.5,40.956,0.95,1.6,7.3,3.747,2,0.664 +0,C LM,STUART,3018,41.013,0.952,1.5,7.25,3.64,2,0.657 +0,C LM,STUART,3018.5,42.547,0.95,1.9,7.15,3.683,2,0.649 +0,C LM,STUART,3019,41.192,0.945,2,7,3.644,2,0.642 +0,C LM,STUART,3019.5,42.726,0.941,2.3,7.15,3.704,2,0.634 +0,C LM,STUART,3020,44.407,0.942,3.4,7,3.695,2,0.627 +0,C LM,STUART,3020.5,45.387,0.946,3.8,6.8,3.788,2,0.619 +0,C LM,STUART,3021,45.052,0.945,2.6,7.5,3.917,2,0.612 +0,C LM,STUART,3021.5,46.129,0.935,2.4,7.4,3.948,2,0.604 +0,C LM,STUART,3022,47.826,0.925,2.5,7.05,4.016,2,0.597 +0,C LM,STUART,3022.5,50.054,0.925,2.3,6.75,3.935,2,0.59 +0,C LM,STUART,3023,55.562,0.933,1.8,6.9,3.974,2,0.582 +0,C LM,STUART,3023.5,63.029,0.947,2,6.8,3.859,2,0.575 +0,C LM,STUART,3024,75.399,0.966,1.9,6.45,3.681,2,0.567 +0,C LM,STUART,3024.5,102.116,0.987,0.2,6.9,3.561,2,0.56 +0,C LM,STUART,3025,140.778,0.993,-0.4,7,3.513,2,0.552 +0,C LM,STUART,3025.5,183.358,0.981,-0.3,7.35,3.437,2,0.545 +0,C LM,STUART,3026,213.999,0.977,0.2,7.8,3.412,2,0.537 +0,C LM,STUART,3026.5,220.413,1.004,0,8,3.528,2,0.53 +0,C LM,STUART,3027,200.306,1.027,0,8,3.671,2,0.522 +0,C LM,STUART,3027.5,162.149,0.999,-0.2,8.5,3.746,2,0.515 +0,C LM,STUART,3028,121.202,0.95,0.2,9.2,3.892,2,0.507 +0,C LM,STUART,3028.5,92.805,0.916,1.3,9.95,3.924,2,0.5 +0,C LM,STUART,3029,77.758,0.894,1.9,10.65,3.953,2,0.493 +0,C LM,STUART,3029.5,67.623,0.879,2.9,10.85,3.889,2,0.485 +0,C LM,STUART,3030,62.376,0.873,2.5,11.45,3.799,2,0.478 +0,C LM,STUART,3030.5,59.463,0.873,2.1,11.25,3.773,2,0.47 +0,C LM,STUART,3031,55.211,0.872,2.7,10.45,3.784,2,0.463 +0,C LM,STUART,3031.5,51.727,0.866,2.3,10.35,3.787,2,0.455 +0,C LM,STUART,3032,52.38,0.858,2.1,10.75,3.776,2,0.448 +0,C LM,STUART,3032.5,53.122,0.851,2.5,11.05,3.724,2,0.44 +0,C LM,STUART,3033,51.245,0.844,2.7,11.25,3.697,2,0.433 +0,C LM,STUART,3033.5,52.208,0.836,1.5,11.75,3.653,2,0.425 +0,C LM,STUART,3034,54.95,0.826,1.3,12.05,3.647,2,0.418 +0,C LM,STUART,3034.5,54.436,0.817,2,12,3.65,2,0.41 +0,C LM,STUART,3035,54.811,0.81,1.8,12.1,3.678,2,0.403 +0,C LM,STUART,3035.5,55.603,0.801,1.6,12.2,3.644,2,0.396 +0,C LM,STUART,3036,54.289,0.785,1.3,12.75,3.656,2,0.388 +0,C LM,STUART,3036.5,52.38,0.768,2,13,3.598,2,0.381 +0,C LM,STUART,3037,53.645,0.758,2,13.7,3.582,2,0.373 +0,C LM,STUART,3037.5,53.93,0.757,2.1,13.75,3.581,2,0.366 +0,C LM,STUART,3038,56.072,0.755,2.9,13.75,3.645,2,0.358 +0,C LM,STUART,3038.5,59.017,0.75,4,13.7,3.694,2,0.351 +0,C LM,STUART,3039,62.144,0.742,4.4,14.1,3.65,2,0.343 +0,C LM,STUART,3039.5,64.814,0.73,4.8,14.2,3.66,2,0.336 +0,C LM,STUART,3040,66.705,0.714,5.6,14.6,3.689,2,0.328 +0,C LM,STUART,3040.5,67.568,0.695,6.5,15.45,3.674,2,0.321 +0,C LM,STUART,3041,67.683,0.676,6.7,15.65,3.603,2,0.313 +0,C LM,STUART,3041.5,67.683,0.662,6,15.4,3.562,2,0.306 +0,C LM,STUART,3042,67.683,0.666,5.7,15.25,3.57,2,0.299 +0,C LM,STUART,3042.5,67.683,0.701,6,15.2,3.603,2,0.291 +0,C LM,STUART,3043,67.683,0.778,5.1,15.65,3.537,2,0.284 +0,C LM,STUART,3043.5,67.683,0.882,4.9,15.75,3.547,2,0.276 +0,C LM,STUART,3044,67.683,0.973,4.4,15.8,3.533,2,0.269 +0,C LM,STUART,3044.5,67.683,1.017,3.5,16.25,3.495,2,0.261 +0,A1 LM,CRAWFORD,2972.5,49.675,0.845,3.905,11.175,3.265,2,1 +0,A1 LM,CRAWFORD,2973,34.435,0.879,3.085,8.175,3.831,2,0.991 +0,A1 LM,CRAWFORD,2973.5,26.178,0.92,2.615,4.945,4.306,2,0.981 +0,A1 LM,CRAWFORD,2974,19.463,0.967,0.82,3.82,4.578,2,0.972 +0,A1 LM,CRAWFORD,2974.5,19.26,0.995,0.32,3.63,4.643,2,0.962 +0,A1 LM,CRAWFORD,2975,19.985,1.008,0.06,4.32,4.614,2,0.953 +0,A1 LM,CRAWFORD,2975.5,22.298,1.002,-0.01,5.5,4.491,2,0.943 +0,A1 LM,CRAWFORD,2976,24.611,0.956,0.05,6.87,4.369,2,0.934 +0,A1 LM,CRAWFORD,2976.5,24.677,0.824,0.31,6.94,4.047,2,0.915 +0,A1 LM,CRAWFORD,2977,24.946,0.667,0.965,5.915,3.893,2,0.906 +0,A1 LM,CRAWFORD,2977.5,29.31,0.559,2.11,6.15,3.52,2,0.896 +0,A1 LM,CRAWFORD,2978,37.322,0.522,3.375,8.445,3.125,2,0.887 +0,A1 LM,CRAWFORD,2978.5,42.142,0.51,3.985,10.785,2.843,2,0.877 +0,A1 LM,CRAWFORD,2979,52.434,0.492,4.42,13.15,2.674,2,0.868 +0,A1 LM,CRAWFORD,2979.5,63.181,0.473,5.18,14.13,2.644,2,0.858 +0,A1 LM,CRAWFORD,2980,69.405,0.465,5.52,14.56,2.663,2,0.849 +0,A1 LM,CRAWFORD,2980.5,77.785,0.475,5.82,14.94,2.68,2,0.84 +0,A1 LM,CRAWFORD,2981,83.577,0.469,5.965,15.395,2.666,2,0.83 +0,A1 LM,CRAWFORD,2981.5,84.058,0.513,6.025,15.855,2.622,2,0.821 +0,A1 LM,CRAWFORD,2982,81.82,0.544,5.95,16.05,2.609,2,0.811 +0,A1 LM,CRAWFORD,2982.5,80.257,0.563,5.74,16.1,2.626,2,0.802 +0,A1 LM,CRAWFORD,2983,79.833,0.579,5.135,15.715,2.662,2,0.792 +0,A1 LM,CRAWFORD,2983.5,80.323,0.583,4.565,15.275,2.693,2,0.783 +0,A1 LM,CRAWFORD,2984,84.704,0.59,4.365,15.165,2.711,2,0.774 +0,A1 LM,CRAWFORD,2984.5,96.674,0.596,4.725,15.565,2.744,2,0.764 +0,A1 LM,CRAWFORD,2985,112.662,0.609,4.88,15.71,2.824,2,0.755 +0,A1 LM,CRAWFORD,2985.5,131.484,0.634,5.11,15.6,2.935,2,0.745 +0,A1 LM,CRAWFORD,2986,138.169,0.659,5.33,15.1,3,2,0.736 +0,A1 LM,CRAWFORD,2986.5,135.045,0.682,5.1,14.46,3.048,2,0.726 +0,A1 LM,CRAWFORD,2987,117.726,0.707,4.415,13.315,3.097,2,0.717 +0,A1 LM,CRAWFORD,2987.5,98.382,0.729,3.395,11.695,3.193,2,0.708 +0,A1 LM,CRAWFORD,2988,91.348,0.771,3.235,10.985,3.308,2,0.698 +0,A1 LM,CRAWFORD,2988.5,87.05,0.831,3.21,10.64,3.493,2,0.689 +0,A1 LM,CRAWFORD,2989,82.98,0.928,2.835,10.115,3.526,2,0.679 +0,A1 LM,CRAWFORD,2989.5,67.264,1.019,0.475,8.435,3.217,2,0.67 +0,A1 LM,CRAWFORD,2990,57.069,1.047,-2.385,7.115,3.157,2,0.66 +0,A1 LM,CRAWFORD,2990.5,46.874,1.066,-3.97,6.6,3.159,2,0.651 +0,A1 LM,CRAWFORD,2991,39.325,1.06,-3.69,7.15,3.224,2,0.642 +0,A1 LM,CRAWFORD,2991.5,43.946,1.042,-2.73,7.29,3.272,2,0.632 +0,A1 LM,CRAWFORD,2992,51.73,1.005,-0.9,7.98,3.29,2,0.623 +0,A1 LM,CRAWFORD,2992.5,58.374,0.956,1.46,9.41,3.277,2,0.613 +0,A1 LM,CRAWFORD,2993,67.754,0.904,3.985,11.545,3.296,2,0.604 +0,A1 LM,CRAWFORD,2993.5,71.206,0.874,5.045,12.915,3.328,2,0.594 +0,A1 LM,CRAWFORD,2994,69.188,0.852,4.86,12.85,3.33,2,0.585 +0,A1 LM,CRAWFORD,2994.5,58.452,0.841,3.455,11.265,3.332,2,0.575 +0,A1 LM,CRAWFORD,2995,38.715,0.816,2.185,9.855,3.365,2,0.566 +0,A1 LM,CRAWFORD,2995.5,30.541,0.801,0.96,8.76,3.476,2,0.557 +0,A1 LM,CRAWFORD,2996,21.684,0.792,-0.04,8.28,3.774,2,0.547 +0,A1 LM,CRAWFORD,2996.5,21.252,0.793,-0.505,9.225,4.041,2,0.538 +0,A1 LM,CRAWFORD,2997,23.117,0.793,-0.555,9.895,4.292,2,0.528 +0,A1 LM,CRAWFORD,2997.5,28.85,0.791,-0.46,9.89,4.371,2,0.519 +0,A1 LM,CRAWFORD,2998,36.226,0.788,-0.085,9.175,4.112,2,0.509 +0,A1 LM,CRAWFORD,2998.5,42.83,0.801,0.41,8.49,3.91,2,0.5 +0,A1 LM,CRAWFORD,2999,46.846,0.82,1.255,8.275,3.793,2,0.491 +0,A1 LM,CRAWFORD,2999.5,48.133,0.845,1.77,8.29,3.486,2,0.481 +0,A1 LM,CRAWFORD,3000,43.162,0.874,1.35,8.64,3.263,2,0.472 +0,A1 LM,CRAWFORD,3000.5,36.586,0.92,1.01,8.74,3.187,2,0.462 +0,A1 LM,CRAWFORD,3001,32.746,0.955,0.625,8.535,3.173,2,0.453 +0,A1 LM,CRAWFORD,3001.5,30.957,0.974,0.565,8.555,3.315,2,0.443 +0,A1 LM,CRAWFORD,3002,30.765,0.981,0.545,8.575,3.441,2,0.434 +0,A1 LM,CRAWFORD,3002.5,31.265,0.987,0.625,8.425,3.618,2,0.425 +0,A1 LM,CRAWFORD,3003,33.124,0.994,0.755,8.045,3.943,2,0.415 +0,A1 LM,CRAWFORD,3003.5,35.211,0.997,0.635,7.555,4.07,2,0.406 +0,A1 LM,CRAWFORD,3004,36.386,0.988,0.125,7.135,3.885,2,0.396 +0,A1 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LM,CRAWFORD,3020.5,42.116,0.926,0.19,7.17,4.201,2,0.085 +0,A1 LM,CRAWFORD,3021,44.925,0.918,-0.19,6.69,4.093,2,0.075 +0,A1 LM,CRAWFORD,3021.5,55.903,0.912,0.07,5.72,4.034,2,0.066 +0,A1 LM,CRAWFORD,3022,66.196,0.906,0.495,5.375,3.958,2,0.057 +0,A1 LM,CRAWFORD,3022.5,73.526,0.894,1.44,5.26,3.82,2,0.047 +0,B1 SH,CRAWFORD,3032,72.392,0.709,-0.74,18.41,2.629,1,0.125 +0,B1 SH,CRAWFORD,3032.5,69.928,0.792,-0.69,19.32,2.616,1,0.063 +0,B1 LM,CRAWFORD,3033,64.72,0.849,-0.96,16.33,2.914,2,1 +0,B1 LM,CRAWFORD,3033.5,52.445,0.892,0.91,11.35,3.292,2,0.977 +0,B1 LM,CRAWFORD,3034,43.362,0.93,-0.02,6.92,3.571,2,0.955 +0,B1 LM,CRAWFORD,3034.5,42.064,0.974,0.015,5.495,3.435,2,0.909 +0,B1 LM,CRAWFORD,3035,45.642,0.956,0.005,5.475,3.375,2,0.886 +0,B1 LM,CRAWFORD,3035.5,53.266,0.932,-0.105,5.545,3.299,2,0.864 +0,B1 LM,CRAWFORD,3036,59.043,0.894,0.17,6.99,3.114,2,0.841 +0,B1 LM,CRAWFORD,3036.5,62.331,0.834,-0.245,9.835,2.813,2,0.818 +0,B1 LM,CRAWFORD,3037,60.946,0.884,-1.69,16.08,2.745,2,0.795 +0,B1 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LM,CRAWFORD,3069.5,45.527,0.295,1.27,15.89,4.276,2,0.643 +0,B2 LM,CRAWFORD,3070,44.887,0.289,1.155,15.315,4.123,2,0.607 +0,B2 LM,CRAWFORD,3070.5,44.23,0.29,0.815,14.205,3.95,2,0.571 +0,B2 LM,CRAWFORD,3071,44.274,0.281,0.55,12.84,3.785,2,0.536 +0,B2 LM,CRAWFORD,3071.5,45.221,0.247,0.545,11.605,3.647,2,0.5 +0,B2 LM,CRAWFORD,3072,46.396,0.167,1.685,11.385,3.431,2,0.464 +0,B2 LM,CRAWFORD,3072.5,46.888,0.118,2.92,12.76,3.2,2,0.429 +0,B2 LM,CRAWFORD,3073,46.475,0.069,4.4,16.76,2.968,2,0.393 +0,B2 LM,CRAWFORD,3073.5,46.738,0.042,5.065,20.085,2.815,2,0.357 +0,B2 LM,CRAWFORD,3074,47.914,0.033,4.815,20.915,2.848,2,0.321 +0,B2 LM,CRAWFORD,3074.5,51.596,0.04,4.485,20.755,2.99,2,0.286 +0,B2 LM,CRAWFORD,3075,62.89,0.102,4.42,17.02,3.474,2,0.25 +0,B2 LM,CRAWFORD,3075.5,80.38,0.22,3.955,12.965,4.067,2,0.214 +0,B2 LM,CRAWFORD,3076,105.725,0.347,2.42,7.33,4.271,2,0.179 +0,B2 LM,CRAWFORD,3076.5,131.069,0.524,1.655,5.355,3.838,2,0.143 +0,B2 LM,CRAWFORD,3077,145.018,0.636,-0.905,7.135,3.203,2,0.107 +0,B2 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