Simplifying the complexity of assessing physical performance in professional Australian football

IF 2.8 2区 医学 Q1 SPORT SCIENCES Science and Medicine in Football Pub Date : 2020-03-21 DOI:10.1080/24733938.2020.1745264
William B. Sheehan, Rhys Tribolet, R. Spurrs, J. Fransen, A. Novak, M. Watsford
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引用次数: 6

Abstract

ABSTRACT Purpose: To provide a simplified, novel method for analysing the physical demands in an Australian Football context by reducing the dimensionality of commonly reported physical characteristics obtained from match play. This may facilitate their practical use and interpretability. Methods: A retrospective longitudinal design was utilised with individual players’ physical outputs, measured via global navigation satellite system devices, collected during official Australian Football League matches over three seasons. A principal component analysis was used to reduce a large number of correlated physical characteristics related to the analysis of physical match demands into a smaller set of uncorrelated components. Results: Forty-six variables were reduced to five principal components whilst maintaining 56% of the variance in the original dataset. The principal component analysis derived five individual-based principal components pertaining to low-moderate movement volume, high speed running volume, accelerations, change of direction and impacts. Conclusions: Utilising factor loadings (eigenvectors) derived from a principal component analysis, this study is the first to provide a simplified, novel method for analysing the physical demands in an Australian Football context with the derived metrics revealing useful information for coaches and practitioners. This may consequently guide training implementation, player performance ratings and player selection. Further, these new values may facilitate the monitoring of physical player loads.
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简化评估澳大利亚职业足球身体表现的复杂性
摘要目的:通过降低从比赛中获得的常见身体特征的维度,提供一种简化、新颖的方法来分析澳大利亚足球背景下的身体需求。这可能有助于它们的实际使用和可解释性。方法:采用回顾性纵向设计,通过全球导航卫星系统设备测量球员的身体输出,这些数据是在三个赛季的澳大利亚足球联赛官方比赛中收集的。主成分分析用于将与物理匹配需求分析相关的大量相关物理特征减少为一组较小的不相关成分。结果:46个变量被减少为5个主成分,同时保持原始数据集中56%的方差。主成分分析得出了五个基于个体的主成分,分别与中低运动量、高速跑量、加速度、方向变化和冲击有关。结论:利用主成分分析得出的因子负荷(特征向量),本研究首次提供了一种简化的、新颖的方法来分析澳大利亚足球背景下的身体需求,得出的指标为教练和从业者提供了有用的信息。因此,这可以指导训练实施、球员表现评级和球员选择。此外,这些新的值可以有助于监控物理玩家负载。
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来源期刊
CiteScore
6.70
自引率
11.80%
发文量
69
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