Joao-M-Silva/padel_analytics

AI-powered padel analytics

48
/ 100
Emerging

This tool helps padel coaches, players, and sports broadcasters analyze game recordings to gain valuable insights. By inputting a video of a padel match from a fixed camera, it outputs detailed analytics like player positions, ball velocity, heatmaps, stroke types (e.g., bandeja, volley), and player error rates. This data can be used to enhance player performance or enrich live broadcasts.

226 stars. No commits in the last 6 months.

Use this if you want to extract comprehensive statistical and visual data from your padel match recordings for coaching, self-improvement, or broadcasting.

Not ideal if you need analysis from dynamic camera footage or if you don't have the technical expertise to set up a Python environment and computer vision models.

padel coaching sports analytics player performance game strategy broadcast enhancement
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 22 / 25

How are scores calculated?

Stars

226

Forks

57

Language

Python

License

Last pushed

Oct 21, 2024

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/Joao-M-Silva/padel_analytics"

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