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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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Tallennettuna:
Päätekijät: 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
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: MDPI AG 2025-12-01
Sarja:Applied Sciences
Aiheet:
machine learning
athletic injuries
vertical jump
muscle strength
football
force platform
Linkit:https://www.mdpi.com/2076-3417/15/23/12721
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