Intention Driven Identification of In-Possession Match Phases in Association Football through Temporal Graph Learning
Understanding tactical organisation in association football requires identifying in-possession match phases that are shaped by evolving tactical intentions rather than by spatial patterns alone. This study proposes an intention-driven framework for identifying phases from tracking data. Seven German Bundesliga matches recorded at 25 Hz with TRACAB were analysed. A hierarchical model was defined with three tactical intentions (Invade Opponent Space, Keep Possession, Scoring) and six phases (Build Up, Progression, Counter Attack, Maintenance, Sustained Threat, Finishing). A Temporal Graph Attention Network (T-GAN) combined frame-level player-interaction graphs, contextual features, and Tran...
| Authors | Yuesen Li, Daniel Link |
|---|---|
| Primary category | cs.LG |
| Published | 8 June 2026 |
| Last updated at source | 14 July 2026 |
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