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个体、任务和环境约束相互作用对澳大利亚足球训练中熟练行为的影响。

The influence of individual, task and environmental constraint interaction on skilled behaviour in Australian Football training.

机构信息

Institute for Health and Sport (Ihes), Victoria University, Melbourne, Australia.

Football Department, Western Bulldogs, Melbourne, Australia.

出版信息

J Sports Sci. 2022 Sep;40(17):1991-1999. doi: 10.1080/02640414.2022.2124013. Epub 2022 Sep 16.

DOI:10.1080/02640414.2022.2124013
PMID:36112696
Abstract

An important consideration for sport practitioners is the design of training environments that facilitate skill learning. This study presented a method to determine individual (age, games played, height, mass, and position), environmental (activity type) and task (pressure and possession time) constraint interaction to evaluate player training behaviour. Skill actions (n = 7301) were recorded during training activities (n = 209) at a single professional Australian Football club and four measures of player behaviour were determined: disposal frequency, kick percentage, pressure, and possession time. K-means clustering assigned training activities into four groups, with regression trees used to determine the interaction between constraints and their influence on disposal frequency and type. For most regression trees, only the environmental constraint was included. This showed all players adapted similarly to the constraints of each training activity. In one exception, a critical value of 60 games experience was identified as an individual constraint which interacted with activity type one to influence disposal frequency. Practically, this individual constraint value could be used to guide training design by grouping players of similar experience together. This study is presented as a practical tool for sport practitioners, which considers constraint interaction, to evaluate player behaviour and inform training design.

摘要

对于体育从业者来说,一个重要的考虑因素是设计有助于技能学习的训练环境。本研究提出了一种方法来确定个体(年龄、比赛次数、身高、体重和位置)、环境(活动类型)和任务(压力和控球时间)约束的相互作用,以评估球员的训练行为。在一个澳大利亚职业足球俱乐部和四个球员行为测量点进行的 209 次训练活动中记录了技能动作(n=7301):处置频率、射门百分比、压力和控球时间。K-均值聚类将训练活动分为四组,回归树用于确定约束之间的相互作用及其对处置频率和类型的影响。对于大多数回归树,只包括了环境约束。这表明所有球员都以类似的方式适应了每个训练活动的约束。有一个例外,60 场比赛经验的临界值被确定为一个个体约束,该约束与活动类型一相互作用,影响处置频率。实际上,这个个体约束值可以用来通过将具有相似经验的球员分组来指导训练设计。本研究为体育从业者提供了一个实用的工具,考虑了约束的相互作用,以评估球员的行为并为训练设计提供信息。

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