mradovic38/football_analysis
A comprehensive tool for processing and analyzing video footage, producing detailed insights into gameplay and player performance enhancing game understanding and performance evaluation.
This tool helps football coaches, analysts, and scouts deeply understand game dynamics and individual player performance by processing video footage. It takes raw match videos and outputs detailed insights, including player tracking, real-world positions, ball possession, and speed estimations. You would use this if you need objective, data-driven analysis to enhance strategic planning and player development.
158 stars. No commits in the last 6 months.
Use this if you need to transform raw football match videos into comprehensive, actionable data for tactical analysis and performance evaluation.
Not ideal if you need a fully automated, plug-and-play solution without any technical setup or model training, or if you're not comfortable with Python.
Stars
158
Forks
32
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 14, 2025
Commits (30d)
0
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