Department of Physical Education and Sport, University of the Basque Country, UPV-EHU. Lasarte 71, 01007 Vitoria-Gasteiz, Spain.
Faculty of Sports Sciences, University of Murcia, 30720 San Javier, Spain.
Int J Environ Res Public Health. 2020 Mar 17;17(6):1952. doi: 10.3390/ijerph17061952.
The aim of the study was the identification, computational examination, critical assessment and future considerations of variables to assess collective tactical behaviour in team invasion sports by positional data. A total of 3973 documents were initially retrieved. Finally, 72 articles met the inclusion criteria, but only 26 suggested original tactical variables based on the variables. The variables can be classified into player-player, player-space, player-ball, and Geometrical Centre (GC)-GC /player/space/goal. In addition, several nonlinear techniques have been used to analyse the synchronisation and predictability of the variables in team invasion sports. Player-opponent is of special interest in those sports in which man-marking is commonly used, and in the micro-structure close to scoring situations in all sports. In addition, player-player distances are used to measure the length and the width of the team and player-GC to assess the dispersion of the team. Player-space distances have been measured to assess the of the player/team-line to relevant areas of the playing space. Several techniques have been applied to analyse the synchronisation (i.e., Hilbert transformation and cluster analyses) and the complexity and regularity or predictability (i.e., approximate entropies, sample entropy, cross-sample entropy and average mutual information) of the variables in team invasion sports, revealing the lack of consensus. Although the variables may be interesting tactical variables when considered in isolation, it would be enriching to analyse the relationship among these variables.
本研究的目的是识别、计算检查、批判性评估和考虑未来变量,以便通过位置数据评估团队入侵运动中的集体战术行为。最初共检索到 3973 篇文献。最终,72 篇文章符合纳入标准,但只有 26 篇文章根据变量提出了原始战术变量。这些变量可分为球员-球员、球员-空间、球员-球、几何中心(GC)-GC/球员/空间/球门。此外,已经使用了几种非线性技术来分析团队入侵运动中变量的同步性和可预测性。在那些普遍采用人盯人战术的运动中和所有运动中接近得分情况的微观结构中,球员-对手特别有趣。此外,球员-球员距离用于测量球队的长度和宽度,球员-GC 用于评估球队的分散程度。球员-空间距离用于评估球员/球队线与比赛空间相关区域的接近程度。已经应用了几种技术来分析团队入侵运动中变量的同步性(即希尔伯特变换和聚类分析)以及复杂性和规律性或可预测性(即近似熵、样本熵、交叉样本熵和平均互信息),揭示了缺乏共识。尽管这些变量在单独考虑时可能是有趣的战术变量,但分析这些变量之间的关系将更有意义。