主成分分析
向心力
变量
统计
相关性(法律)
计量经济学
多重对应分析
探索性分析
心理学
数学
计算机科学
数据科学
政治学
物理
机械
法学
作者
José Pino‐Ortega,Filipe Manuel Clemente,Luiz Henrique Palucci Vieira,Markel Rico-González
标识
DOI:10.1177/17543371211048314
摘要
Due to the high number of variables reported from tracking systems, the interest in data reduction techniques has grown. To date, principal component analysis (PCA) has been performed in soccer, but since the results depend on the variables included, a lack of objectivity continues to be of concern. The aim of this study was to highlight the variables that compose the principal components (PC) in semi-professional soccer, including all variables extracted from tracking systems. Data were collected from a semi-professional Spanish team that participated in 10 matches. From more than 250 variables, the PCA grouped a total of 19 variables in six PCs, explaining 72% of players’ external load. All variables were related to centripetal force, high intensity running, and high-intensity efforts and short efforts. Interestingly, the first PC was composed of four variables related to centripetal force. The current exploratory analysis indicated that, in addition to traditional high-intensity displacement variables, force measures should also be considered in soccer match analysis due to their effect on a player’s external load.
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