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

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

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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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Bibliographic Details
Main Authors: Leandro Stival, Allan Pinto, Felipe dos Santos Pinto de Andrade, Paulo Roberto Pereira Santiago, Henrik Biermann, Ricardo da Silva Torres, Ulisses Dias
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9847968/?tool=EBI

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9847968/?tool=EBI

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