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Publication
Using network metrics in soccer : a macro-analysis
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Advisor(s)
Abstract(s)
The aim of this study was to propose a set of network methods to measure the specific properties of a team.
These metrics were organised at macro-analysis levels. The interactions between teammates were collected and then
processed following the analysis levels herein announced. Overall, 577 offensive plays were analysed from five matches.
The network density showed an ambiguous relationship among the team, mainly during the 2nd half. The mean values
of density for all matches were 0.48 in the 1st half, 0.32 in the 2nd half and 0.34 for the whole match. The heterogeneity
coefficient for the overall matches rounded to 0.47 and it was also observed that this increased in all matches in the 2nd
half. The centralisation values showed that there was no ‘star topology’. The results suggest that each node (i.e., each
player) had nearly the same connectivity, mainly in the 1st half. Nevertheless, the values increased in the 2nd half,
showing a decreasing participation of all players at the same level. Briefly, these metrics showed that it is possible to
identify how players connect with each other and the kind and strength of the connections between them. In summary,
it may be concluded that network metrics can be a powerful tool to help coaches understand team’s specific properties
and support decision-making to improve the sports training process based on match analysis.
Description
Keywords
game analysis soccer network metrics