Centre for Sport Research, Deakin University, Australia.
Centre for Sport Research, Deakin University, Australia.
J Sci Med Sport. 2022 Feb;25(2):178-182. doi: 10.1016/j.jsams.2021.09.002. Epub 2021 Sep 13.
Understanding the successful characteristics of team formation during different scenarios in Australian Football matches can assist coaches in making important tactical match-day and training decisions. The aims of this study were to explore the outcomes of entries inside 50 m of the goal, in Australian Football and to determine whether there was an association between team formation and team defensive performance after a turnover.
Observational.
Global Positioning System (GPS) data, technical event data and video files from 22 matches in one season were obtained from an elite Australian Football club. Of 1092 forward 50 entries, 392 possession chains that resulted in a turnover were analysed. Variables representing team formation of players at the occurrence of turnover were compared between positive and negative outcomes of the subsequent possession chain. Logistic regression and decision tree modelling were also used to explore associations and variable importance.
None of 18 team formation characteristics differed between positive and negative outcomes of turnovers. Multivariate modelling identified that having a team formation with greater width than length made it more likely to result in a positive outcome (Decision tree classification accuracy = 69.5%, AUROC = 0.72).
No single characteristic of team formation affects the outcome of a turnover possession chain, however team formation that was wider than it was long may be associated with a more desirable outcome. The lack of association between most team formation characteristics and defensive outcomes, highlight the risk of over emphasising team formation in tactical planning for some phases of play.
了解澳大利亚足球比赛中不同场景下团队组建的成功特点,可以帮助教练做出重要的战术比赛日和训练决策。本研究旨在探讨澳大利亚足球中进入 50 米区域内的进球结果,并确定在一次失误后,团队组建是否与团队防守表现之间存在关联。
观察性研究。
从一个精英澳大利亚足球俱乐部的一个赛季的 22 场比赛中获取了全球定位系统(GPS)数据、技术事件数据和视频文件。在 1092 次进入前场 50 米的过程中,分析了导致失误的 392 个控球链。在随后的控球链中,比较了失误发生时球员团队组建的变量,以确定其与积极和消极结果之间的关系。还使用逻辑回归和决策树模型来探索关联和变量重要性。
在失误的积极和消极结果之间,没有一个团队组建特征存在差异。多元建模表明,具有比长度更宽的团队组建形式更有可能导致积极的结果(决策树分类准确率为 69.5%,AUROC 为 0.72)。
团队组建的单个特征不会影响失误控球链的结果,但是比长度更宽的团队组建形式可能与更理想的结果相关。大多数团队组建特征与防守结果之间缺乏关联,这突显了在某些比赛阶段过分强调团队组建的风险。