欧洲冠军联赛球队的网络结构:与经典符号变量的关联以及不同成功水平之间的差异

F. Clemente, F. Martins
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引用次数: 9

摘要

摘要本研究的目的是分析参加2015-2016年欧洲冠军联赛的精英足球队网络的一般性质。分析了一般网络测度在比赛中表现之间的方差。此外,还测试了表现变量(进球、射门和控球率)与一般网络测量之间的相关性。在总共109场正式比赛中,对参加2015-2016年欧洲冠军联赛的16支最佳球队进行了分析。在竞争的最大阶段之间,总链路(p=0.003;ES=0.087)、网络密度(p=0.003,ES=0.088)和聚类系数(p=0.007,ES=0.078)存在统计学上的显著差异。总链路(r=0.439;p=0.001),网络密度(r=0.433;p=0.001)和聚类系数(r=0.367;p=001)与控球率呈中度正相关。这项研究表明,进入四分之一决赛和决赛的球队比其余球队具有更大的一般网络测量值,因此表明网络过程中更高的同质性值可能会提高球队的成功率。在控球和一般网络测量之间发现了适度的相关性,这表明有更大能力执行更长传球序列的球队可能会以更同质的方式让更多的球员参与进来。
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Network structure of UEFA Champions League teams: association with classical notational variables and variance between different levels of success
Abstract The aim of this study was to analyse the general properties of the network of elite football teams that participated in UEFA Champions League 2015–2016. Analysis of variance of the general network measures between performances in competition was made. Moreover, the association between performance variables (goals, shots, and percentage of ball possession) and general network measures also was tested. The best sixteen teams that participated in UEFA Champions League 2015–2016 were analysed in a total of 109 official matches. Statistically significant differences between maximum stages in competition were found in total links (p = 0.003; ES = 0.087), network density (p = 0.003; ES = 0.088), and clustering coefficient (p = 0.007; ES = 0.078). Total links (r = 0.439; p = 0.001), network density (r = 0.433; p = 0.001) and clustering coefficient (r = 0.367; p = 0.001) had a moderate positive correlations with percentage of ball possession. This study revealed that teams that achieved the quarterfinals and finals had greater values of general network measures than the remaining teams, thus suggesting that higher values of homogeneity in network process may improve the success of the teams. Moderate correlations were found between ball possession and the general network measures suggesting that teams with more capacity to perform longer passing sequences may involve more players in a more homogeneity manner.
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来源期刊
International Journal of Computer Science in Sport
International Journal of Computer Science in Sport Computer Science-Computer Science (all)
CiteScore
2.20
自引率
0.00%
发文量
4
审稿时长
12 weeks
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