首页    期刊浏览 2025年05月30日 星期五
登录注册

文章基本信息

  • 标题:Network structure of UEFA Champions League teams: association with classical notational variables and variance between different levels of success
  • 本地全文:下载
  • 作者:F. M. Clemente ; F. M. L. Martins
  • 期刊名称:International Journal of Computer Science in Sport
  • 电子版ISSN:1684-4769
  • 出版年度:2017
  • 卷号:16
  • 期号:1
  • 页码:39-50
  • DOI:10.1515/ijcss-2017-0003
  • 语种:English
  • 出版社:Sciendo
  • 摘要: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.
  • 关键词:KeywordsApplied Mathematicsgraph theorysoccerfootballmatch analysis
国家哲学社会科学文献中心版权所有