Machine learning application in soccer: a systematic review

Due to the chaotic nature of soccer, the predictive statistical models have become in a current challenge to decision-making based on scientific evidence. The aim of the present study was to systematically identify original studies that applied machine learning (ML) to soccer data, highlighting curr...

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Detalles Bibliográficos
Autores principales: Rico-González, Markel, Pino-Ortega, José, Méndez, Amaia, Clemente, Filipe Manuel, Baca, Arnold
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Institute of Sport in Warsaw 2022
Materias:
Review Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9806754/
https://www.ncbi.nlm.nih.gov/pubmed/36636183
http://dx.doi.org/10.5114/biolsport.2023.112970

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9806754/
https://www.ncbi.nlm.nih.gov/pubmed/36636183
http://dx.doi.org/10.5114/biolsport.2023.112970

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