Computer Vision Pipeline
Track player positions, passing lanes, and team shape from the match feed
Ball Knowledge converts the flow of a football match into structured explainable tactical insight
A compact stack designed for repeated match analysis and deeper football understanding
Track player positions, passing lanes, and team shape from the match feed
Surface pressure, overloads, and dangerous transitions while the phase develops
Turn complex sequences into concise tactical explanations for humans
Identify the moments where one pass, press, or run changes the entire possession
Select a player node to inspect how the active lanes shift around the possession
Ingest the match and map every relevant movement
Recognize structure, pressure, and tactical intent
Translate model output into clear football language
Feed the insight into review, training, and decisions