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足球小场比赛和条件比赛中战术行为的捕捉和量化:系统评价。

Capturing and Quantifying Tactical Behaviors in Small-Sided and Conditioned Games in Soccer: A Systematic Review.

机构信息

Universidade da Beira Interior.

Sport Sciences School of Rio Maior, Polytechnic Institute of Santarém (ESDRM-IPS).

出版信息

Res Q Exerc Sport. 2022 Mar;93(1):189-203. doi: 10.1080/02701367.2020.1823307. Epub 2020 Oct 8.

DOI:10.1080/02701367.2020.1823307
PMID:33030987
Abstract

: To systematically describe and analyze the tracking systems, the variables, and the statistical methods used to evaluate the players and teams' tactical behavior in small-sided and conditioned games (SSCGs). : A search was done in Web of Science, PubMed, Science Direct, and Scielo databases to identify manuscripts published between 2008 and 2019 that manipulated small-sided and conditioned games (SSCGs) and analyzed tactical behaviors of players and teams. : From 349 articles identified, 31 were selected for review. To collect positional data, the global positioning system (GPS), the local position measurement (LPM) system, and TACTO were identified as reliable tracking systems. Twenty-one positional variables were identified to evaluate tactical behaviors, grouped into five main categories: team balance, playing space, width and length of playing space, and interpersonal distance. Tactical behavior patterns were analyzed using approximate entropy, sample entropy, Shannon entropy, and patterns of coordination between players and teams were analyzed using relative phase and running correlation. : The tracking systems analyzed were reliable but revealed different advantages and disadvantages of their use. Authors should define the use of each tracking system based on their purpose and level of precision required for analysis. A great duplication was observed on the variables used with similar purposes of tactical analysis. The identification of the variables according to their purpose of analysis will allow a better understanding of their use in the future.

摘要

: 系统地描述和分析了跟踪系统、变量以及用于评估小场和条件比赛(SSCG)中球员和球队战术行为的统计方法。 : 在 Web of Science、PubMed、Science Direct 和 Scielo 数据库中进行了搜索,以确定 2008 年至 2019 年间发表的操纵小场和条件比赛(SSCG)并分析球员和球队战术行为的文献。 : 从确定的 349 篇文章中,选择了 31 篇进行审查。为了收集位置数据,全球定位系统(GPS)、本地位置测量(LPM)系统和 TACTO 被确定为可靠的跟踪系统。确定了 21 个位置变量来评估战术行为,分为五个主要类别:球队平衡、比赛空间、比赛空间的宽度和长度以及球员之间的距离。战术行为模式使用近似熵、样本熵、香农熵进行分析,球员和球队之间的协调模式使用相对相位和运行相关性进行分析。 : 分析的跟踪系统是可靠的,但显示了使用它们的不同优势和劣势。作者应根据分析的目的和所需的精度级别来定义每个跟踪系统的使用。在具有类似战术分析目的的变量中观察到了很大的重复性。根据分析目的对变量进行识别将有助于将来更好地理解它们的使用。

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