arXiv Machine Learning June 9, 2026 By Yuesen Li, Daniel Link

Intention Driven Identification of In-Possession Match Phases in Association Football through Temporal Graph Learning

Read the original on arXiv Machine Learning →

arXiv:2606. 09289v1 Announce Type: new Abstract: Understanding tactical organisation of association football, hereafter referred to as football, requires identifying distinct match phases.

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arXiv Machine Learning

Sep 23

SambaGraph: Action-Reaction Spatio-Temporal Graphs for Soccer Tactical Response Modeling

arXiv:2609.25569v1 Announce Type: new Abstract: Soccer tactics are interactive: an attacking action changes the opponent's defensive problem, and the observed response depends on the multi-agent matc...

By Abel A. Reyes-Angulo, Henry O. Velesaca, Steven Araujo

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SambaGraph: Action-Reaction Spatio-Temporal Graphs for Soccer Tactical Response Modeling

Soccer tactics are interactive: an attacking action changes the opponent's defensive problem, and the observed response depends on the multi-agent match state. We introduce SambaGraph, an action--reac...

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arXiv Machine Learning

Jun 2

PathCRF: Ball-Free Soccer Event Detection via Possession Path Inference from Player Trajectories

arXiv:2602. 12080v2 Announce Type: replace Abstract: Despite recent advances in AI, event data collection in soccer still relies heavily on labor-intensive manual annotation.

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arXiv Machine Learning

Jul 30

Sim2Win: A Team-Agnostic, Event-Based Pre-Match Outcome Prediction and Tactical Profiling System for Football

arXiv:2607. 26061v1 Announce Type: new Abstract: Pre-match tactical decision-making in professional football relies heavily on subjective expert analysis and identity-based scouting systems that cannot generalize to unseen teams.

By Mouad Zemzoumi, Amine Abouaomar

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Sep 7

Hierarchical Possession-Aware Graph Pointer Network for Pass Receiver Selection

The paper introduces the Hierarchical Possession-aware Graph Pointer Network (HPGPN) for selecting pass receivers in football analytics. HPGPN treats the task as a variable-size candidate prediction problem, modeling current player interactions, local event context, and possession-level temporal dynamics using a graph representation. Experiments on public football event and freeze-frame datasets show that HPGPN improves pass receiver selection performance, with ablation studies confirming the value of graph-based interaction modeling, fixed event context, and dual-branch dynamic possession-history modeling.

By Jingyi Wang, Da Li, Kaixin Wang, Zhangqin Huang

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arXiv AI

Aug 5

Modeling Matches as Language: A Generative Transformer Approach for Counterfactual Player Valuation in Football

arXiv:2603. 15212v2 Announce Type: replace Abstract: Evaluating football player transfers is challenging because player actions depend strongly on tactical systems, teammates, and match context.

By Miru Hong, Minho Lee, Geonhee Jo, Hyeokje Cho, Hyunsung Kim, Pascal Bauer, Sang-Ki Ko

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SambaGraph: Action-Reaction Spatio-Temporal Graphs for Soccer Tactical Response Modeling

SambaGraph: Action-Reaction Spatio-Temporal Graphs for Soccer Tactical Response Modeling

PathCRF: Ball-Free Soccer Event Detection via Possession Path Inference from Player Trajectories

Sim2Win: A Team-Agnostic, Event-Based Pre-Match Outcome Prediction and Tactical Profiling System for Football

Hierarchical Possession-Aware Graph Pointer Network for Pass Receiver Selection

Modeling Matches as Language: A Generative Transformer Approach for Counterfactual Player Valuation in Football