Literature DB >> 29046222

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

Scott Mclean1, Paul M Salmon2, Adam D Gorman3, Nicholas J Stevens2, Colin Solomon4.   

Abstract

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.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  EURO 2016; Football; Performance analysis; Social network analysis

Mesh:

Year:  2017        PMID: 29046222     DOI: 10.1016/j.humov.2017.10.001

Source DB:  PubMed          Journal:  Hum Mov Sci        ISSN: 0167-9457            Impact factor:   2.161


  3 in total

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Authors:  Filipe Manuel Clemente; Hugo Sarmento; Gibson Moreira Praça; Pantelis Theodoros Nikolaidis; Thomas Rosemann; Beat Knechtle
Journal:  Front Psychol       Date:  2019-08-06

2.  Play-by-Play Network Analysis in Football.

Authors:  Florian Korte; Daniel Link; Johannes Groll; Martin Lames
Journal:  Front Psychol       Date:  2019-07-25

3.  Passing Networks and Tactical Action in Football: A Systematic Review.

Authors:  Sergio Caicedo-Parada; Carlos Lago-Peñas; Enrique Ortega-Toro
Journal:  Int J Environ Res Public Health       Date:  2020-09-11       Impact factor: 3.390

  3 in total

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