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Social Network Analysis (SNA) is used as a strategy to study social structures. Since 2010 SNA has been used to build passing networks for football match analysis. Network metrics have been linked to team success and scoring goals in previous studies. In previous studies the network metrics were mainly calculated based on the full match. This approach does not cover the dynamics of football. The main goal of this study was to work on a new methodology for a more dynamic approach to passing behaviour. Information on the density, centralization, clustering coefficient, and momentum were gathered based on different time intervals and analyzed with Vector Autoregressive (VAR) models. A positive predictive relationship was found between momentum and density. Based on previous studies it was thought that increased density leads to more goals. Based on this study it might be the other way around. This methodology creates a lot of opportunities for further research. And although it needs more time and research, it could contribute to the development of teams and football in general.

Detail Summary
Datum 22 januari 2020
Tijd 13:00 - 14:00
Locatie Roeterseilandcampus - gebouw G
Ruimte S.01
Roeterseilandcampus - gebouw G
Roeterseilandcampus - gebouw G

Ruimte S.01

Nieuwe Achtergracht 129-B
1018 WS Amsterdam