Padel Sports Analytics
An AI-powered sports analytics platform for padel, built on computer vision and deep learning. The system performs real-time player tracking, shot classification and match event analysis to generate tactical insight and performance statistics from a single camera feed.
- Technology
- PythonComputer VisionDeep LearningReal-time Analytics
- Key capabilities
- Multi-player tracking with persistent IDs / Shot classification / Court grid position mapping / Attack / defence state detection / Match event timeline / Live performance statistics
See it running
Recorded from the live buildAbout the product
The platform ingests a standard court camera feed and resolves it into tracked players with stable identities, mapping each onto a top-down court grid alongside their current tactical state. Shot classification and match event analysis run on the same pass.
It was built performance-first, for accurate analytics, scalable processing and real-time monitoring suitable for professional sports environments rather than offline batch review.
The challenge
Traditional padel analysis leans on manual review and subjective observation, which makes accurate performance measurement slow and inconsistent.
- Player performance metrics captured by hand, long after the match
- Tactical read of a match dependent on a coach's subjective observation
- No scalable way to track player movement across a full session
- Shot patterns invisible without frame-by-frame review
- Coaches and analysts needing data-driven analysis during live matches, not days later
What it demonstrates
The platform enabled detailed performance evaluation and sharper tactical decision-making for players and coaching staff.
- Match analysis automated, removing the manual review bottleneck
- Real-time insight available to coaching staff during play
- Improved training efficiency through measurable per-player metrics
- Strategic gameplay analysis grounded in position and shot data
- A data-driven approach to sports performance optimisation
More work
All case studies
Want something like this built?
Tell us what you are trying to ship. We will come back with a delivery shape, a team profile and the metrics we would commit to.