Dota 2 Performance Analytics and Match Trend Predictor. Analyze Match History, Track Performance Metrics, Visualize Statistics and Discover Winning Patterns.
-
Updated
Jun 13, 2026 - Python
Dota 2 Performance Analytics and Match Trend Predictor. Analyze Match History, Track Performance Metrics, Visualize Statistics and Discover Winning Patterns.
Visualize 25Hz tracking data. Interactive matplotlib replay of 145K real match frames from Metrica Sports.
Badminton match analytics desktop app — stroke annotation, Markov chain EPV, Bayesian real-time analysis & coach reports
2026 World Cup 90-minute prediction desk with match context, lineups, injuries, odds references and post-match backtesting.
Analyze Dota 2 match data to track your gameplay history, identify performance trends, and visualize key statistics for competitive improvement.
Grounded AI volleyball match intelligence from DataVolley scouting files, combining deterministic analytics, rotation-level insights, and evidence-backed tool-calling explanations.
Post-game match impact analysis engine processing Riot Games match & timeline data.
VCT Champions 2026 analytics dashboard for schedules, teams, players, and match statistics.
⚽ Possession, Explained — an explainable match-intelligence demo where every AI claim cites the exact possession behind it: deterministic possession metrics, three citation-enforced agents, and zero invented numbers 📊
Python project using Riot Games API to research a League of Legends match performance rating.
To associate your repository with the match-analysis topic, visit your repo's landing page and select "manage topics."