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Applying graphs and complex networks to football metric interpretation

机译:将图形和复杂网络应用于足球度量解释

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This work presents a methodology for analysing the interactions between players in a football team, from the point of view of graph theory and complex networks. We model the complex network of passing interactions between players of a same team in 32 official matches of the Liga de Futbol Profesional (Spain), using a passing/reception graph. This methodology allows us to understand the play structure of the team, by analysing the offensive phases of game-play. We utilise two different strategies for characterising the contribution of the players to the team: the clustering coefficient, and centrality metrics (closeness and betweenness). We show the application of this methodology by analyzing the performance of a professional Spanish team according to these metrics and the distribution of passing/reception in the field. Keeping in mind the dynamic nature of collective sports, in the future We will incorporate metrics which allows us to analyse the performance of the team also according to the circumstances of game-play and to different contextual variables such as, the utilisation of the field space, the time, and the ball, according to specific tactical situations.
机译:从图形理论和复杂网络的角度来看,这项工作提出了一种分析踢球运动员之间的互动的方法。我们使用传递/接收图模拟了在Liga de Futbol Profesional(西班牙)的32个官方比赛中相同团队的玩家之间传递交互的复杂网络。这种方法使我们能够通过分析游戏阶段的攻击性阶段来了解团队的戏剧结构。我们利用两种不同的策略来表征参与者对团队的贡献:聚类系数和中心度量(亲近和之间)。我们通过根据这些指标分析专业西班牙语团队的绩效以及现场通过/接收的分布来展示该方法的应用。牢记集体运动的动态性质,将来我们将纳入指标,这也可以根据游戏游戏的情况和不同的上下文变量的情况来分析团队的表现,以及诸如现场空间的利用率的不同上下文变量,时间和球,根据具体的战术情况。

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