Machine learning application in soccer: a systematic review

Markel Rico-González; José Pino-Ortega; Amaia Méndez; Filipe Clemente; Arnold Baca

doi:10.5114/biolsport.2023.112970

eISSN: 2083-1862
ISSN: 0860-021X

Biology of Sport

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1/2023
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Review paper

Machine learning application in soccer: a systematic review

Markel Rico-González

¹

,

José Pino-Ortega

^{2, 3}

,

Amaia Méndez

⁴

,

Filipe Manuel Clemente

^{5, 6}

,

Arnold Baca

⁷

Department of Didactics of Musical, Plastic and Corporal Expression, University of the Basque Country, UPV-EHU. Leioa, Spain

BIOVETMED & SPORTSCI Research group. University of Murcia, San Javier. España

Faculty of Sports Sciences. University of Murcia, San Javier. Spain

Department of mechanics, design and industrial management, Faculty of engineering, University of Deusto, Bilbao, Spain

Escola Superior Desporto e Lazer, Instituto Politécnico de Viana do Castelo, Rua Escola Industrial e Comercial de Nun’Álvares, 4900-347 Viana do Castelo, Portugal

Instituto de Telecomunicações, Delegação da Covilhã, Lisboa 1049-001, Portugal

Centre for Sport Science and University Sports, University of Vienna, Austria

Biol Sport. 2023;40(1):249–263

DOI: https://doi.org/10.5114/biolsport.2023.112970

Online publish date: 2022/03/16

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Copyright: Institute of Sport. This is an Open Access article distributed under the terms of the Creative Commons Attribution Share Alike 4.0 License (https://creativecommons.org/licenses/by-sa/4.0/), allowing third parties to copy and redistribute the material in any medium or format and remix, transform, and build upon the material for any purpose, even commercially, provided the original work is properly cited and states its license.

Machine learning application in soccer: a systematic review

Markel Rico-González 1 , José Pino-Ortega 2, 3 , Amaia Méndez 4 , Filipe Manuel Clemente 5, 6 , Arnold Baca 7

Markel Rico-González

¹

,

José Pino-Ortega

^{2, 3}

,

Amaia Méndez

⁴

,

Filipe Manuel Clemente

^{5, 6}

,

Arnold Baca

⁷