A web tool for analyzing Mobile Legends: Bang Bang matches.
In the Mobile Legends analysis file, you will find data from the Mobile Legends M5 World Knockout Stage Results. The M5 World Championship, organized by Moonton, serves as the conclusive event and ultimate showdown of the MLBB 2023 Competitive Season.
In a groundbreaking move, M5 has incorporated the Wildcard stage for the first time, along with a boost in the prize pool from $800,000 to $900,000 USD. Notably, this edition of the World Championship marks a historic occasion as it will be conducted in distinct countries.
All the file explanations include "Ban & Pick Data": Data on bans and picks made by players in the team. "Hero & Role": Data on heroes and their statistics. "Full Data": Comprehensive match data. "Team And Players": Information on teams and player names. "Battle Spell": Data on the names and descriptions of battle spells. "Item Stats": Data on the names and descriptions of items. "Jungle & Roam": Data on the names and descriptions of jungle and roam aspects.
Explanation: "From the data contained in this file, various simple analyses can be conducted, including:
- Types of heroes used in a team.
- Types of spells, emblems, and talents used by the team.
- Team formations and more."
This comprehensive dataset provides a detailed overview of match data for a gaming platform, encompassing various aspects such as team matchups, player performances, and in-game statistics. The key components of the dataset are as follows:
- Date: The date on which the match took place.
- Match: A unique identifier or number indicating the Team vs. Team matchup.
- Team: The name of the team participating in the match.
- Ban: The hero banned by the team.
- Players: Player name or identifier.
- Role Ban: The role of the banned hero.
- Pick: The hero selected by the team.
- Role Pick: The role of the picked hero.
- Order Ban: The sequence in which the ban occurred.
- Order Pick: The sequence in which the pick occurred.
- MVP: Most Valuable Player in the match.
- Time: The duration of the match.
- Spell: The spell used by the player.
- Emblem: The emblem chosen by the player.
- Talents 1, 2, 3: Talent choices made by the player.
- K (Kills): Total kills by the player in the match.
- D (Deaths): Total deaths by the player in the match.
- A (Assists): Total assists by the player in the match.
- Gold: Total gold earned by the player in the match.
- Tower: Total objective monster kills by Team statistics.
- Lord: Total objective monster kills by Team statistics.
- Turtle: Total objective monster kills by Team statistics.
- Blue Buff: Total objective monster kills by Team statistics.
- Red Buff: Total objective monster kills by Team statistics.
This dataset provides a comprehensive overview of match data, including team matchups, player performances, and in-game statistics. It serves as a valuable resource for analyzing gaming dynamics, team strategies, and individual player contributions.
You can See the Full analisis Note book in Google Collab or the file named this file
https://www.kaggle.com/datasets/bcakra/mobile-legend-m5-world-knockout-stage-results
This is an analysis tool for Mobile Legends: Bang Bang matches. This tool helps in highlighting important events in the game, such as team fights, turret attacks, and more.
- Python 3.8 and above
- pip
- npm
-
Create a virtual environment
npm install
python -m venv env
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Activate the environment
- Command Prompt
env/Scripts/activate.bat
- PowerShell
env/Scripts/Activate.ps1
- Linux
source env/bin/activate
- Command Prompt
-
Create env file
Duplicate
.env.example
modified the value -
Install Dependencies
pip install -r requirements.txt
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Run the application
python app.py
After the application is running, you can upload Mobile Legends: Bang Bang match recordings for analysis. This tool allows you to highlight events such as team fights, turret attacks, and other important occurrences in the game.
We welcome contributions and improvement suggestions for this Mobile Legends: Bang Bang match analysis tool. If you want to contribute, please create a pull request to this repository.
We hope this tool is helpful in analyzing Mobile Legends: Bang Bang matches!