Technology
Python, NumPy/SciPy/Pandas-oriented sports data structures
OPEN SOURCE TOOL
floodlight
Python framework for streamlined sports-data analysis, especially event and tracking data.
Analytics layer for positions, movement, speed, acceleration, space and team-level metrics.
License
MIT
Permissive MIT; retain copyright and license notice.
GitHub ↗Implementation / installation
Install as a Python analytics dependency behind the Statistics API.
Coaching use
- Compute movement and position summaries.
- Generate heatmaps and spatial metrics.
- Combine event and tracking streams for reports.
Floorball Studio
Try the related prototype
This project is evaluated as a building block. The Floorball Studio prototype keeps the user experience sport-specific.