Football AI Blog
Articles on artificial intelligence, computer vision, data science and modern coaching in football – by Anas Skiti.
Expected Goals (xG) Explained for Coaches
What expected goals (xG) measures, what goes into an xG model, how to read it after a match, its limits and a simple xG…
Plyometric Training and Injury Prevention in Football
How plyometric training makes football players faster and more robust, the injury risks of wrong dosing, 7 principles for safe training and how AI…
Data-Driven Football Coaching: A Beginner’s Guide
A practical beginner’s guide to data-driven football coaching: start with questions, choose simple KPIs, collect data consistently and turn insights into training.
Computer Vision in Football: How Player Tracking Works
How computer vision turns ordinary match video into player tracking data: detection, tracking, team assignment, pitch calibration and the analytics coaches can use.
How AI Is Changing Tactical Analysis in Football
How computer vision, machine learning and data science are changing football tactical analysis – what AI can do, its limits, and how coaches can…