Top football clubs like Liverpool and Chelsea use tracking data to win matches. They analyze player movements to perfect tactics, spot weaknesses, and make data driven decisions to improve their overall performance. This project processes 145K real match frames from Metrica Sports so you can see exactly how the pros do it, right on your computer.
- Match Replay Visualization: Watch 22 players + ball move in real-time on animated pitch
- Live Player Tracking: Home (blue) vs Away (red) teams with 145K frames @ 25Hz
- Interactive Controls: Pause (SPACE), rewind/fast-forward (←→ arrow keys)
- Real Match Data: 96-minute full match from Metrica Sports sample dataset
- Frame-Accurate Replay: 25 FPS animation processing 8M+ data points
- Demo Generator:
make_demo.pycreates shareable 15s highlight GIFs
- Pause/Resume:
SPACE - Rewind/Fast Forward:
←/→arrow keys - Restart: Hold
R
- Python 3.10+
- Pandas (data processing)
- Matplotlib (animation)
- NumPy (arrays)
- Pillow (GIF export)
- Kloppy (sports data)
pip install -r requirements.txt
Run the interactive replay:
python main.py
Generate demo GIF (15 seconds):
python make_demo.py
- Pitch dimensions/colors:
src/arcade_replay.py - Player markers/trails:
animate()method - Playback speed:
interval=40(milliseconds) - Demo length:
range(0, 375, 5)inmake_demo.py
This project is licensed under the MIT License - see the LICENSE file for details.
No copyright infringement intended. Metrica Sports data used for educational purposes only under fair use. All trademarks belong to their respective owners.
Built with ❤️ for football enthusiasts
Data: Metrica Sports Sample Data