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首页> 美国卫生研究院文献>Frontiers in Public Health >Influence of Match Status on Players’ Prominence and Teams’ Network Properties During 2018 FIFA World Cup
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Influence of Match Status on Players’ Prominence and Teams’ Network Properties During 2018 FIFA World Cup

机译：在2018年FIFA世界杯上比赛状态对球员的知名度和球队的网络属性的影响。

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The analyses of players and teams’ behaviors during the FIFA World Cup may provide a better understanding on how football tactics and strategies have developed in the past few years in elite football. The Social Network Analysis (SNA) has been carried out in the investigations about passing distribution, improving the understanding on how players interact and cooperate during a match. In football official matches, studies have used the SNA as a means of coding players’ cooperation and opposition patterns. However, situational variables such as match status were previously investigated and associated with changes on teams’ dynamics within and/or between matches, but were not considered in studies based on Social Network Analysis. This study aimed to analyze the influence of match status on teams’ cooperation patterns and players’ prominence according to playing positions during 2018 FIFA World Cup. Fourteen matches of the knockout stage were analyzed. Macro and micro network measures were obtained from adjacency matrixes collected for each team, in each match status (winning, drawing, and losing). A one-way ANOVA was used to compare teams’ networks (macro-analysis variables) within each match status, while a two-way ANOVA (match status × playing position) was used to compare the micro-analysis variables. Results showed no differences between match status for macro analysis. Winning situations induced higher prominence in central midfielders (0.107; p = 0.001), wide midfielders (0.093; p = 0.001), and center forward (0.085; p = 0.001), while in losing situations lower prominence levels were observed for goalkeepers (0.044; p = 0.001) and center forward (0.074; p = 0.001). Data revealed that teams do not change macrostructures according to match status. On the other hand, the microstructures showed important adaptations regarding game styles, with changes in players’ behaviors according to playing positions. In general, the levels of centrality and prestige in players of different positions indicated a more direct play style in winning situations and a more build-up style in losing situations. These results allow a better understanding about the influence of match status on players’ and teams’ performance during high-level football competitions and may help coaches to improve athletes’ performance in these situations.
机译：通过对FIFA世界杯期间球员和球队行为的分析，可以更好地了解过去几年来精英足球的足球战术策略是如何发展的。社交网络分析（SNA）已在有关传球分布的调查中进行，从而增进了对球员在比赛中如何互动与合作的理解。在足球正式比赛中，研究已将SNA用作编码球员合作与反对模式的一种手段。但是，之前已经调查过诸如比赛状态之类的情境变量，并将其与比赛内部和/或比赛之间团队动态的变化相关联，但在基于“社交网络分析”的研究中并未考虑这些变量。这项研究旨在根据2018年FIFA世界杯的比赛位置分析比赛状态对球队合作模式和球员声望的影响。分析了淘汰赛阶段的十四场比赛。从每个团队在每个比赛状态（赢，输和输）中收集的邻接矩阵获得宏观和微观网络度量。单向方差分析用于比较每个比赛状态内的球队网络（宏观分析变量），而二向方差分析用于比较微观分析变量（比赛状态×比赛位置）。结果显示宏观分析的比赛状态之间没有差异。获胜的情况引起中央中场球员（0.107; p = 0.001），中场较宽的球员（0.093; p = 0.001）和中锋（0.085; p = 0.001）的突出程度较高，而失败者的守门员的突出水平较低（0.044） ; p = 0.001）和正中（0.074; p = 0.001）。数据显示，球队没有根据比赛状态改变宏观结构。另一方面，微观结构在游戏风格上显示出重要的适应性，玩家的行为根据游戏位置而变化。总的来说，不同位置的球员的中心地位和声望水平表明，获胜情况下的比赛风格更直接，输球情况下的比赛风格更强。这些结果可以更好地了解比赛状态对高水平足球比赛期间球员和球队表现的影响，并且可以帮助教练在这种情况下提高运动员的表现。

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