JohnsonJDDJ/zilean
Python package that facilitates machine learning tasks on League of Legends matches.
This tool helps esports analysts and data enthusiasts dive deep into League of Legends match data. It takes raw match timeline information from the Riot Games API, which details game statistics at every minute, and transforms it into structured data. You can then use this data to predict match outcomes or analyze player performance at specific points in a game.
No commits in the last 6 months.
Use this if you want to analyze detailed, minute-by-minute League of Legends match data to uncover patterns, predict game results, or evaluate player strategies using machine learning.
Not ideal if you're looking for simple match win/loss records or basic player statistics without needing granular, time-series analysis.
Stars
15
Forks
5
Language
Python
License
MIT
Category
Last pushed
Aug 12, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/JohnsonJDDJ/zilean"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
UnravelSports/unravelsports
The unravelsports package aims to aid researchers, analysts and enthusiasts by providing...
oracle-devrel/leagueoflegends-optimizer
League of Legends Optimizer - Learn Artificial Intelligence with Gaming
Oleffa/LeagueAI
LeagueAI software framework for League of Legends that provides information about the state of...
andreiapostoae/dota2-predictor
Tool that predicts the outcome of a Dota 2 game using Machine Learning
CorvusCodex/RouletteAi
RouletteAi is a roulette artificial intelligence that uses machine learning to predict the next number.