Sports / Analytics7 weeks
AI-Powered Player Performance & Scouting Platform
Client: Champion City FC
Track player biomechanics from video and model performance, fatigue, and injury risk.
The Challenge
Champion City FC needed to gain a competitive edge by quantifying player performance, predicting injury risk, and identifying undervalued talent in the draft. The challenge was to extract meaningful insights from game footage and player data.
Key Challenges:
- Quantify player performance accurately
- Predict injury risk to prevent player injuries
- Identify undervalued talent in the draft
- Extract meaningful insights from game footage
Without advanced analytics, the team faced high injury rates, missed talent opportunities, poor performance optimization, and competitive disadvantage.
Our Solution
- Computer vision system tracking player movements from game footage
- Biomechanical data extraction from player movements
- Performance assessment models quantifying player contributions
- Injury risk prediction models identifying fatigue and injury probability
- Scouting platform identifying undervalued talent
- Time-series analysis for performance trends and patterns
Technology Stack
Pose EstimationTensorFlowXGBoostTime‑SeriesPower BI
Client Testimonial
"Reduced soft‑tissue injuries by 40%; identified undervalued draft picks."
— GM, Champion City FC