AI RESEARCH
Decoding Defensive Coverage Responsibilities in American Football Using Factorized Attention Based Transformer Models
arXiv CS.AI
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ArXi:2603.25901v1 Announce Type: cross Defensive coverage schemes in the National Football League (NFL) represent complex tactical patterns requiring coordinated assignments among defenders who must react dynamically to the offense's passing concept. This paper presents a factorized attention-based transformer model applied to NFL multi-agent play tracking data to predict individual coverage assignments, receiver-defender matchups, and the targeted defender on every pass play.