AI Soccer Tactical Breakdown Generator

AI recognition of team formations from match footage. The system identifies base shapes, defensive and attacking shapes, and in-possession variations without manual input. Detects over 50 formation variations including hybrid systems. Updates recognition in real-time as teams adjust throughout matches.

Automated tracking of all players throughout sequences. The AI follows player positions, movements, and relationships across the pitch. Enables movement analysis without manual frame-by-frame annotation. Works on broadcast-quality footage from any angle.

Generate clear visual representations of player movements. Create running path arrows, movement traces, and position transition graphics that illustrate how players move without the ball. Multiple visualization styles from simple arrows to detailed traces with timing information.

Automatic generation of passing network maps showing connection patterns between players. The AI identifies preferred passing routes, connection frequency, and network structure. Creates both match-specific networks and aggregated patterns across multiple games.

Create player and team heat maps showing positional tendencies. The AI aggregates positioning data into clear visual representations of where players operate. Compare heat maps between matches, players, or teams with overlay options.

AI identification of pressing triggers and trap patterns. The system recognizes when and how teams initiate pressing, identifying the cues that prompt intense pressure. Visualize pressing sequences with trigger moments highlighted.