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评估团队运动中的战略分期

Evaluating strategic periodisation in team sport.

作者信息

Robertson Sam, Joyce David

机构信息

a Institute of Sport, Exercise & Active Living , Victoria University (ISEAL) , Footscray , Australia.

b Western Bulldogs Football Club , Footscray , Australia.

出版信息

J Sports Sci. 2018 Feb;36(3):279-285. doi: 10.1080/02640414.2017.1300315. Epub 2017 Mar 7.

Abstract

The planned peaking for matches or events of perceived greatest priority or difficulty throughout a competitive season is commonplace in high-level team sports. Despite this prevalence in the field, little research exists on the practice. This study aimed to provide a framework for strategic periodisation which team sport organisations can use to evaluate the efficacy of such plans. Data relating to factors potentially influencing the difficulty of matches were obtained for games played in the 2014 Australian Football League season. These included the match location, opposition rank, between-match break and team "form". Binary logistic regression models were developed to determine the level of association between these factors and match outcome (win/loss). Models were constructed using "fixed" factors available to clubs prior to commencement of the season, and then also "dynamic" factors obtained at monthly intervals throughout the in-season period. The influence of playing away from home on match difficulty became stronger as the season progressed, whilst the opposition rank from the preceding season was the strongest indicator of difficulty across all models. The approaches demonstrated in this paper can be used practically to evaluate both the long- and short-term efficacy of strategic periodisation plans in team sports as well as inform and influence coach programming.

摘要

在高水平团队运动中,整个竞技赛季对被认为最具优先级或难度最大的比赛或赛事进行计划内的巅峰安排很常见。尽管这种做法在该领域很普遍,但相关研究却很少。本研究旨在提供一个战略周期化框架,团队运动组织可利用该框架评估此类计划的有效性。获取了与2014年澳大利亚足球联赛赛季比赛中可能影响比赛难度的因素相关的数据。这些因素包括比赛地点、对手排名、比赛间隔时间和球队“状态”。建立了二元逻辑回归模型,以确定这些因素与比赛结果(胜/负)之间的关联程度。模型构建使用了赛季开始前俱乐部可获得的“固定”因素,以及赛季期间每月获取的“动态”因素。随着赛季的推进,客场比赛对比赛难度的影响变得更强,而前一赛季的对手排名是所有模型中难度的最强指标。本文展示的方法可实际用于评估团队运动中战略周期化计划的长期和短期有效性,以及为教练制定计划提供信息并产生影响。

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