AI + digital coaching experiments

STATISTICS

Combine event and tracking data into coaching questions.

Create shot maps, heatmaps, event summaries, player movement, team spacing and trend views from structured data.

Technology

floodlight and Python data stack for analysis; web dashboards for interactive exploration.

How a coach can use it

Answer specific questions instead of producing dashboards for their own sake.
Compare players or games with consistent definitions.
Link every metric back to video where possible.

Camera setup

Statistics based on manual events do not require tracking cameras.
Tracking-based statistics require calibrated fixed wide footage.

Implementation path

Start with a small browser prototype, keep the data model explicit, then connect the analysis backend as separate API services. Validate results with coaches before automating scoring.

Prototype

Try the prototype

This is a front-end concept demo. It does not yet send video or personal data to a server.

12Shots

7On target

34Possession events

8.4 kmTracked distance