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KPI: Collective Behavior in Football

Marcelino, Rui; Sampaio, Jaime; Amichay, Guy; Gonçalves, Bruno; Couzin, Iain; Mate, Nagy

This chapter presents the need to explore advanced methodologies that can process positional data in football and potentially provide information about how the players’ movements are related to each other. The players’ high-resolution trajectories were used to calculate spatio-temporal correlation-based metrics with other players (teammates and opponents) and the ball, in order to identify highly correlated seg...

Date: 2022   |   Origin: Repositório Científico da Universidade de Évora
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