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比赛场地如何影响足球表现:主客场比赛中进攻动作的T型模式分析

How Game Location Affects Soccer Performance: T-Pattern Analysis of Attack Actions in Home and Away Matches.

作者信息

Diana Barbara, Zurloni Valentino, Elia Massimiliano, Cavalera Cesare M, Jonsson Gudberg K, Anguera M Teresa

机构信息

Human Sciences for Education Department, University of Milano-BicoccaMilan, Italy.

Department of Psychology, Catholic University of the Sacred HeartMilan, Italy.

出版信息

Front Psychol. 2017 Aug 21;8:1415. doi: 10.3389/fpsyg.2017.01415. eCollection 2017.

DOI:10.3389/fpsyg.2017.01415
PMID:28878712
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5573439/
Abstract

The influence of game location on performance has been widely examined in sport contexts. Concerning soccer, game-location affects positively the secondary and tertiary level of performance; however, there are fewer evidences about its effect on game structure (primary level of performance). This study aimed to detect the effect of game location on a primary level of performance in soccer. In particular, the objective was to reveal the hidden structures underlying the attack actions, in both home and away matches played by a top club (Serie A 2012/2013-First Leg). The methodological approach was based on systematic observation, supported by digital recordings and T-pattern analysis. Data were analyzed with THEME 6.0 software. A quantitative analysis, with nonparametric Mann-Whitney test and descriptive statistics, was carried out to test the hypotheses. A qualitative analysis on complex patterns was performed to get in-depth information on the game structure. This study showed that game tactics were significantly different, with home matches characterized by a more structured and varied game than away matches. In particular, a higher number of different patterns, with a higher level of complexity and including more unique behaviors was detected in home matches than in the away ones. No significant differences were found in the number of events coded per game between the two conditions. THEME software, and the corresponding T-pattern detection algorithm, enhance research opportunities by going further than frequency-based analyses, making this method an effective tool in supporting sport performance analysis and training.

摘要

比赛场地对运动表现的影响在体育领域已得到广泛研究。就足球而言,比赛场地对二级和三级表现水平有积极影响;然而,关于其对比赛结构(一级表现水平)影响的证据较少。本研究旨在检测比赛场地对足球一级表现水平的影响。具体而言,目标是揭示一家顶级俱乐部(2012/2013赛季意甲 - 首回合)主客场比赛中进攻动作背后隐藏的结构。方法基于系统观察,并辅以数字记录和T型模式分析。数据使用THEME 6.0软件进行分析。采用非参数曼 - 惠特尼检验和描述性统计进行定量分析以检验假设。对复杂模式进行定性分析以获取有关比赛结构的深入信息。本研究表明,比赛战术存在显著差异,主场比赛的特点是比客场比赛更具结构性和多样性。特别是,主场比赛中检测到的不同模式数量更多,复杂性更高,且包含更多独特行为,而客场比赛则不然。两种情况下每场比赛编码的事件数量未发现显著差异。THEME软件及相应的T型模式检测算法,通过超越基于频率的分析,增加了研究机会,使该方法成为支持运动表现分析和训练的有效工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0e9/5573439/129a0caa6e3b/fpsyg-08-01415-g0006.jpg
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