Using machine learning pipeline to predict entry into the attack zone in football

Sports sciences are increasingly data-intensive nowadays since computational tools can extract information from large amounts of data and derive insights from athlete performances during the competition. This paper addresses a performance prediction problem in soccer, a popular collective sport moda...

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Detalles Bibliográficos
Autores principales: Stival, Leandro, Pinto, Allan, de Andrade, Felipe dos Santos Pinto, Santiago, Paulo Roberto Pereira, Biermann, Henrik, Torres, Ricardo da Silva, Dias, Ulisses
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9847968/
https://www.ncbi.nlm.nih.gov/pubmed/36652409
http://dx.doi.org/10.1371/journal.pone.0265372

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9847968/
https://www.ncbi.nlm.nih.gov/pubmed/36652409
http://dx.doi.org/10.1371/journal.pone.0265372

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