Prediction of injuries in elite soccer players with the analysis of asymmetries in the CMJ through the use of Machine Learning tools

Prediction of injuries in elite soccer players with the analysis of asymmetries in the CMJ through the use of Machine Learning tools

Introduction: The analysis of asymmetries in the countermovement jump (CMJ) is a potentially useful tool for the prevention of injuries in elite soccer players. Objective: This study analyzes the relationship between biomechanical asymmetries in the CMJ on landing (% Peak Landing Force Assymetry)...

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Bibliographic Details
Main Authors: Ángel Aceña Rodríguez, Alvaro Vita, Raul Quintana, Carlos Reyes, Aitor Abal, Pol Corpas, Luis Vita, David Agusti, Enrique Portaz
Format: Article
Language:English
Published: FEADEF 2025-08-01
Series:Retos: Nuevas Tendencias en Educación Física, Deportes y Recreación
Subjects:
Countermovement jump
Injuries
Prediction
Machine Learning
Asymmetry
Online Access:https://revistaretos.org/index.php/retos/article/view/113766
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https://revistaretos.org/index.php/retos/article/view/113766

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