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
vol. 40

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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 CC BY License (https://creativecommons.org/licenses/by/4.0/). This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.

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