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A social network analysis of the goal scoring passing networks of the 2016 European Football Championships

机译:2016年欧洲足球锦标赛的目标进球网络的社会网络分析

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In the current study, social network analysis (SNA) and notational analysis (NA) methods were applied to examine the goal scoring passing networks (GSPN) for all goals scored at the 2016 European Football Championships. The aim of the study was to determine the GSPN characteristics for the overall tournament, between the group and knock out stages, and for the successful and unsuccessful teams. The study also used degree centrality (DC) metrics as a novel method to determine the relative contributions of the pitch locations involved in the GSPN. To determine changes in GSPN characteristics as a function of changing score line, the analysis considered the match status of the game when goals were scored. There were significant differences for SNA metrics as a function of match status, and for the DC metrics in the comparison of the different pitch locations. There were no differences in the SNA metrics for the GSPN between teams in the group and knock out stages, or between the successful and unsuccessful teams. The results indicate that the GSPN had low values for network density, cohesion, connections, and duration. The networks were direct in terms of pitch zones utilised, where 85% of the GSPN included passes that were played within zones or progressed through the zones towards the goal. SNA and NA metrics were significantly different as a function of changing match status. The current study adds to the previous research on goal scoring in football, and demonstrates a novel method to determine the prominent pitch zones involved in the GSPN. These results have implications for match analysis and the coaching process.
机译:在目前的研究中,应用社会网络分析(SNA)和符号分析(NA)方法,以检查在2016年欧洲足球锦标赛中获得所有目标的目标进入网络(GSPN)。该研究的目的是确定集团之间的整体锦标赛的GSPN特征,淘汰阶段,以及成功和不成功的团队。该研究还使用程度中心(DC)度量作为一种新的方法来确定GSPN中涉及的音高位置的相对贡献。为了确定GSPN特性的变化作为改变得分线的函数,分析考虑了进球时评分目标的匹配状态。与匹配状态的函数和DC度量相比,SNA指标具有显着差异,以及不同音高位置的比较。团队团队之间GSPN的SNA指标没有差异,并淘汰阶段,或成功和不成功的团队之间。结果表明,GSPN具有较低的网络密度,内聚力,连接和持续时间值。该网络在利用的音高区域方面是直接的,其中85%的GSPN包括在区域内播放的通过或通过区域进展到目标。作为改变匹配状态的功能,SNA和NA指标显着差异。目前的研究增加了前一对足球进球评分的研究,并演示了一种确定GSPN中涉及的突出距离区域的新方法。这些结果对匹配分析和教练过程具有影响。

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