andreiapostoae/dota2-predictor
Tool that predicts the outcome of a Dota 2 game using Machine Learning
This tool helps Dota 2 players and analysts predict the outcome of a game and optimize their team composition. You input the heroes picked by each team (either all ten or nine out of ten), and it outputs the probability of each team winning, along with suggestions for the best last-pick hero to maximize win chances. The primary users are competitive Dota 2 players, coaches, or enthusiasts looking for a strategic edge.
374 stars. No commits in the last 6 months.
Use this if you play or analyze Dota 2 and want to improve your in-game drafting decisions or better understand hero performance and team dynamics.
Not ideal if you are looking for a tool that explains complex game mechanics or provides real-time in-game advice beyond hero picks.
Stars
374
Forks
81
Language
Python
License
MIT
Category
Last pushed
Dec 08, 2022
Commits (30d)
0
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