AI & Machine Learning for Performance and Scouting
From computer vision on tracking footage to injury-risk models built on biometric data, applied machine learning is reshaping how teams scout, train, and manage player health. We build production ML systems designed to earn the trust of coaches and scouts, not just win a hackathon demo.
What’s included
Computer vision for tracking and performance footage
Injury-risk and load-management modeling
Scouting and player-comparison models
In-game strategy and decision-support tools
Model monitoring, explainability, and staff trust-building
How we work
01
Use-case validation
We work with coaching and performance staff to identify where a model would actually change a decision.
02
Data & model development
We build and validate models against historical outcomes before they ever touch a live decision.
03
Staff-facing tools
We wrap models in interfaces coaches and scouts will actually use, with explainability built in.
04
Monitoring & iteration
We monitor model performance in-season and retrain as new data and outcomes come in.
Ready to talk about ai & machine learning for performance and scouting?
Tell us where you're starting from and where you want to be.