An Ecological Dynamics Approach to the Use of Artificial Intelligence and Machine Learning to Analyze Performance in Football

Sofia Ferreira (), Daniel Carrilho () and Duarte Araújo ()
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Sofia Ferreira: CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa
Daniel Carrilho: CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa
Duarte Araújo: CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa

A chapter in Artificial Intelligence, Optimization, and Data Sciences in Sports, 2025, pp 195-213 from Springer

Abstract: Abstract Technological advances in the measurement of players’ activities have revealed new ways for performance analysis in sports. From wearable devices to optical tracking systems, positional data, events data, and biological parameters are becoming more accessible and thus collected in bigger amounts, which opens opportunities for the use of artificial intelligence (AI) techniques in sports, such as machine learning (ML). This chapter aims to discuss AI and ML applications to football, especially from a performance analysis perspective. We also present how ecological dynamics theoretical approach can be used as guidance when studying performance. We finalize by presenting a case study where a new spatial-temporal indicator called density zone is described.

Keywords: Artificial intelligence; Machine learning; Football; Performance; Density zones (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-031-76047-1_6

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DOI: 10.1007/978-3-031-76047-1_6

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