Are Countermovement Jump Variables Indicators of Injury Risk in Professional Soccer Players? A Machine Learning Approach

Background: Muscle injuries are among the main problems in professional soccer, affecting player availability and team performance. Countermovement jump (CMJ) variables have been proposed as indicators of injury risk and for detecting strength imbalances, although their use is less explored than iso...

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主要な著者:	Jorge Pérez-Contreras, Rodrigo Villaseca-Vicuña, Juan Francisco Loro-Ferrer, Felipe Inostroza-Ríos, Ciro José Brito, Hugo Cerda-Kohler, Alejandro Bustamante-Garrido, Fernando Muñoz-Hinrichsen, Felipe Hermosilla-Palma, David Ulloa-Díaz, Pablo Merino-Muñoz, Esteban Aedo-Muñoz
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2025-12-01
シリーズ:	Applied Sciences
主題:	machine learning athletic injuries vertical jump muscle strength football force platform
オンライン･アクセス:	https://www.mdpi.com/2076-3417/15/23/12721
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