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提高澳大利亚职业足球技能指标的解读能力。

Improving the interpretation of skill indicators in professional Australian Football.

机构信息

Human Performance Research Centre, Faculty of Health, University of Technology Sydney, Australia.

Human Performance Research Centre, Faculty of Health, University of Technology Sydney, Australia.

出版信息

J Sci Med Sport. 2020 Sep;23(9):872-878. doi: 10.1016/j.jsams.2020.01.016. Epub 2020 Feb 6.

Abstract

OBJECTIVES

This study aimed to provide a simplified, novel method for analysing technical skill involvements in an Australian Football context by reducing the dimensionality of commonly reported skill counts obtained from Australian Football League (AFL) games. This may facilitate their practical use and interpretability.

DESIGN

Retrospective longitudinal design where individual players' technical skill counts were collected over three seasons of official AFL games.

METHODS

Seventy-three skill count values provided publicly by ChampionData® were collected for each match over a three-year analysis period. A principal component analysis was used to reduce the dimensionality of a large number of correlated technical skill indicators into a smaller set of uncorrelated components whilst maintaining most of the variance from the original data set.

RESULTS

The principal component analysis derived four principal components pertaining to high-pressure success, low-pressure success, attacking ball movement ability and scoring ability.

CONCLUSIONS

This study is the first to provide a simplified, novel method for analysing technical skill counts in Australian Football. The derived metrics reveal useful information for coaches and practitioners. This may consequently ease the interpretation of skill count data available to coaches from games, guide opposition analysis, help in the design of representative practice and inform player performance ratings.

摘要

目的

本研究旨在提供一种简化的新方法,通过减少澳大利亚足球联盟(AFL)比赛中常见的技能计数的维度,来分析澳大利亚足球中的技术技能。这可能会方便它们的实际使用和解释。

设计

回顾性纵向设计,在三个 AFL 赛季中收集每个球员的技术技能计数。

方法

在三年的分析期间,为每场比赛从 ChampionData®收集了 73 个技能计数值。主成分分析用于将大量相关的技术技能指标的维度降低到一组较小的不相关成分中,同时保持原始数据集的大部分方差。

结果

主成分分析得出了四个主要成分,分别与高压成功、低压成功、进攻球移动能力和得分能力有关。

结论

这项研究首次提供了一种简化的新方法,用于分析澳大利亚足球中的技术技能计数。得出的指标为教练和从业者提供了有用的信息。这可能会简化教练从比赛中获取的技能数据的解释,指导对手分析,帮助设计具有代表性的练习,并为球员表现评分提供信息。

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