Applying graphs and complex networks to football metric interpretation
| Autor: | J. Sánchez-Flores, Juan Manuel García-Manso, Marcos Zúñiga, E. Arriaza-Ardiles, J.M. Martín-González, Y. de Saa |
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| Rok vydání: | 2016 |
| Předmět: |
Movement
Closeness Biophysics Experimental and Cognitive Psychology Football Athletic Performance Motor Activity 01 natural sciences 03 medical and health sciences 0302 clinical medicine Betweenness centrality 0103 physical sciences Soccer Cluster Analysis Humans Orthopedics and Sports Medicine 010306 general physics Cluster analysis Mathematics Clustering coefficient business.industry ComputingMilieux_PERSONALCOMPUTING Graph theory 030229 sport sciences General Medicine Complex network Models Theoretical Data science Artificial intelligence Centrality business Algorithms |
| Zdroj: | Human movement science. 57 |
| ISSN: | 1872-7646 |
| Popis: | This work presents a methodology for analysing the interactions between players in a football team, from the point of view of graph theory and complex networks. We model the complex network of passing interactions between players of a same team in 32 official matches of the Liga de Futbol Profesional (Spain), using a passing/reception graph. This methodology allows us to understand the play structure of the team, by analysing the offensive phases of game-play. We utilise two different strategies for characterising the contribution of the players to the team: the clustering coefficient, and centrality metrics (closeness and betweenness). We show the application of this methodology by analyzing the performance of a professional Spanish team according to these metrics and the distribution of passing/reception in the field. Keeping in mind the dynamic nature of collective sports, in the future we will incorporate metrics which allows us to analyse the performance of the team also according to the circumstances of game-play and to different contextual variables such as, the utilisation of the field space, the time, and the ball, according to specific tactical situations. |
| Databáze: | OpenAIRE |
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