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

Mclean, Scott, Salmon, Paul M., , Stevens, Nicholas J., & Solomon, Colin (2018) A social network analysis of the goal scoring passing networks of the 2016 European Football Championships. Human Movement Science, 57, pp. 400-408.

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Description

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.

Impact and interest:

49 citations in Scopus
41 citations in Web of Science®
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ID Code: 204819
Item Type: Contribution to Journal (Journal Article)
Refereed: Yes
ORCID iD:
Gorman, Adam D.orcid.org/0000-0003-2847-7268
Measurements or Duration: 9 pages
Keywords: EURO 2016, Football, Performance analysis, Social network analysis
DOI: 10.1016/j.humov.2017.10.001
ISSN: 0167-9457
Pure ID: 68549872
Funding Information: The authors declare no competing interests. Paul Salmon’s contribution to this research was supported by his current ARC Future Fellowship (FT140100681).
Copyright Owner: Elsevier B.V.
Copyright Statement: This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au
Deposited On: 25 Sep 2020 01:19
Last Modified: 29 Jun 2024 13:24