sanjeevnara7/FootballPassPrediction

Football/Soccer Pass Receiver Prediction using Object Detection/Graph Neural Networks (GNNs)

31
/ 100
Emerging

This project helps sports analysts, coaches, and scouts understand player movement and passing strategies by predicting who an attacking player will pass to next in a soccer game. It takes broadcast footage frames as input and identifies players, their teams, and the ball, then outputs the most probable pass receiver. The primary users are professionals involved in soccer analytics and tactical planning.

No commits in the last 6 months.

Use this if you need to analyze soccer game footage to predict potential pass receivers for tactical analysis or performance evaluation.

Not ideal if you need a real-time solution for live game analysis, as this system is designed for processing short, pre-recorded video clips.

soccer-analytics sports-performance tactical-analysis player-scouting match-analysis
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 8 / 25

How are scores calculated?

Stars

39

Forks

3

Language

Jupyter Notebook

License

MIT

Last pushed

Apr 30, 2024

Commits (30d)

0

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