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analyze2018.py
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analyze2018.py
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# -*- coding: utf-8 -*-
"""
Created on Sun Jan 7 10:22:32 2018
Models 2018 game and ranking movement
"""
from pprint import pprint
import pandas as pd
import tbaUtils as tba
import matplotlib
def qual_model():
autoticks = 15
teleticks = 135
autorun = 5
autoscaleown = 2
autoscaletick = 2
autoswitchown = 2
autoswitchtick = 2
telescaleown = 1
telescaletick = 1
teleswitchown = 1
teleswitchtick = 1
boosttickbonus = 1 #that is one extra point per tick
boosttime = 10
vaultcube = 5
maxcube = 9
park = 5
climb = 30
fbrp = 1
aqrp = 1
winrp = 2
tierp = 1
#Per team update 1, the scale has to tip for a full second to establish
#Ownership, so removing the tick 0 points for ownership
maxautoscale = autoscaletick * autoticks
maxautoswitch = autoswitchtick * autoticks
maxautoscore = autorun * 3 + maxautoscale + maxautoswitch
maxtelescale = telescaletick * teleticks
maxteleswitch = teleswitchtick * teleticks
maxvault = vaultcube * maxcube
maxclimb = 3 * climb
maxboost = boosttickbonus * boosttime
#maxboost is doubled here because we're boosting the scale and switch
maxtelescore = maxtelescale + maxteleswitch + maxvault + maxclimb + maxboost * 2
maxscore = maxtelescore + maxautoscore
print('Qualification Match Model')
print('Max scores:', maxautoscore, maxtelescore, maxscore)
maxscalepoints = maxautoscale + maxtelescale + maxboost
print('Scale points:', maxscalepoints)
chokescore = maxscore - (maxscalepoints / 2)
'''
Chokehold threshold - if you score every possible point without the scale,
and your opponent does the same, and you also score more than half the
available scale points, it is no longer possible for them to win.
'''
print('Chokehold Score:', chokescore)
print('Max points without scale:', maxscore - maxscalepoints)
print('Max points without climbing:', maxscore - maxclimb + 3 * park)
def interesting_stats(event):
'''
Get the raw data required to calculate
Percentage of successful climb attempts
Percentage of auto-move
Percentage of Quest RP
Percentage of Boss RP
Percentage decided by fouls
Average number of power-ups used (by both alliances (max 6))
'''
eventdata = get_event_matches(event)
results = {'qm': {'mp': 0, 'climbs': [], 'autorun': [], 'quests': [], 'boss': [], 'fv': [], 'pu': []},
'qf': {'mp': 0, 'climbs': [], 'autorun': [], 'quests': [], 'boss': [], 'fv': [], 'pu': []},
'sf': {'mp': 0, 'climbs': [], 'autorun': [], 'quests': [], 'boss': [], 'fv': [], 'pu': []},
'f': {'mp': 0, 'climbs': [], 'autorun': [], 'quests': [], 'boss': [], 'fv': [], 'pu': []}}
for event in eventdata:
climbs = 0
autorun = 0
quests = 0
boss = 0
penalties = []
scores = []
pu = []
if event['actual_time'] != None:
for alliance in ['red', 'blue']:
for bot in ['Robot1', 'Robot2', 'Robot3']:
#print(event['score_breakdown'][alliance])
#print(alliance, bot)
#print(event['score_breakdown'][alliance]['endgame' + bot])
if event['score_breakdown'][alliance]['endgame' + bot] == 'Climbing':
climbs += 1
if event['score_breakdown'][alliance]['auto' + bot] == 'AutoRun':
autorun += 1
if event['score_breakdown'][alliance]['autoQuestRankingPoint']:
quests += 1
if event['score_breakdown'][alliance]['faceTheBossRankingPoint']:
boss += 1
if boss > 2:
print('\nSomething is weird here\n')
pprint(event)
for item in ['Boost', 'Force', 'Levitate']:
pu.append(event['score_breakdown'][alliance]['vault'+item+'Played'])
penalties.append(event['score_breakdown'][alliance]['foulPoints'])
scores.append(event['alliances'][alliance]['score'])
margin = abs(scores[0] - scores[1])
if scores[0] > scores[1]: #red victory
if margin < (penalties[0] - penalties[1]):
#Red received more foul points than the margin
results[event['comp_level']]['fv'].append(1)
else:
results[event['comp_level']]['fv'].append(0)
elif scores[0] < scores[1]: #blue victory
if margin < (penalties[1] - penalties[0]):
#Blue received more foul points than the margin
results[event['comp_level']]['fv'].append(1)
else:
results[event['comp_level']]['fv'].append(0)
else: #tie
if penalties[1] != penalties[0]:
#Tied because of penalty points
results[event['comp_level']]['fv'].append(1)
else:
results[event['comp_level']]['fv'].append(0)
results[event['comp_level']]['mp'] += 1
results[event['comp_level']]['climbs'].append(climbs)
results[event['comp_level']]['autorun'].append(autorun)
results[event['comp_level']]['quests'].append(quests)
results[event['comp_level']]['boss'].append(boss)
results[event['comp_level']]['pu'].append(pu)
return results
def prop_bets(event):
raw = interesting_stats(event)
cooked = {}
for complvl in raw:
cooked[complvl] = {}
if raw[complvl]['mp'] != 0:
cooked[complvl]['autorun'] = sum(raw[complvl]['autorun']) / raw[complvl]['mp']
cooked[complvl]['boss'] = sum(raw[complvl]['boss']) / raw[complvl]['mp']
cooked[complvl]['quests'] = sum(raw[complvl]['quests']) / raw[complvl]['mp']
cooked[complvl]['climbs'] = sum(raw[complvl]['climbs']) / raw[complvl]['mp']
cooked[complvl]['foulvictory'] = sum(raw[complvl]['fv']) / raw[complvl]['mp']
cooked[complvl]['powerUp'] = {}
cooked[complvl]['powerUp']['Boost'] = [0, 0, 0, 0] #Total, L1, L2, L3
cooked[complvl]['powerUp']['Force'] = [0, 0, 0, 0]
cooked[complvl]['powerUp']['Levitate'] = 0
for match in raw[complvl]['pu']:
if match[0] == 1:
cooked[complvl]['powerUp']['Boost'][0] += 1
cooked[complvl]['powerUp']['Boost'][1] += 1
elif match[0] == 2:
cooked[complvl]['powerUp']['Boost'][0] += 1
cooked[complvl]['powerUp']['Boost'][2] += 1
elif match[0] == 3:
cooked[complvl]['powerUp']['Boost'][0] += 1
cooked[complvl]['powerUp']['Boost'][3] += 1
if match[3] == 1:
cooked[complvl]['powerUp']['Boost'][0] += 1
cooked[complvl]['powerUp']['Boost'][1] += 1
elif match[3] == 2:
cooked[complvl]['powerUp']['Boost'][0] += 1
cooked[complvl]['powerUp']['Boost'][2] += 1
elif match[3] == 3:
cooked[complvl]['powerUp']['Boost'][0] += 1
cooked[complvl]['powerUp']['Boost'][3] += 1
if match[1] == 1:
cooked[complvl]['powerUp']['Force'][0] += 1
cooked[complvl]['powerUp']['Force'][1] += 1
elif match[1] == 2:
cooked[complvl]['powerUp']['Force'][0] += 1
cooked[complvl]['powerUp']['Force'][2] += 1
elif match[1] == 3:
cooked[complvl]['powerUp']['Force'][0] += 1
cooked[complvl]['powerUp']['Force'][3] += 1
if match[4] == 1:
cooked[complvl]['powerUp']['Force'][0] += 1
cooked[complvl]['powerUp']['Force'][1] += 1
elif match[4] == 2:
cooked[complvl]['powerUp']['Force'][0] += 1
cooked[complvl]['powerUp']['Force'][2] += 1
elif match[4] == 3:
cooked[complvl]['powerUp']['Force'][0] += 1
cooked[complvl]['powerUp']['Force'][3] += 1
if match[2] == 3:
cooked[complvl]['powerUp']['Levitate'] += 1
if match[5] == 3:
cooked[complvl]['powerUp']['Levitate'] += 1
putot = cooked[complvl]['powerUp']['Boost'][0]
putot += cooked[complvl]['powerUp']['Force'][0]
putot += cooked[complvl]['powerUp']['Levitate']
cooked[complvl]['puavg'] = putot / raw[complvl]['mp']
cooked[complvl]['mp'] = raw[complvl]['mp']
return cooked
def prop_bets_week(week):
scratch, eventmtx = make_eventweekmtx()
eventlist = eventmtx[week]
props = {}
for event in eventlist:
print(event)
props[event] = prop_bets(event)['qm']
pprint(props)
propdf = pd.DataFrame(props).transpose()
cols = propdf.columns.tolist()
#cols = ['autorun', 'boss', 'climbs', 'foulvictory', 'mp', 'powerUp', 'puavg', 'quests']
cols = ['mp', 'foulvictory', 'autorun', 'quests', 'climbs', 'boss', 'puavg', 'powerUp']
propdf = propdf[cols]
print(propdf)
propdf.to_excel('prop_bets.xlsx')