A methodology for the analysis of soccer matches based on pagerank centrality

Simple item page
dc.contributor.authorRojas-Mora, Julio
dc.contributor.authorChávez-Bustamante, Felipe
dc.contributor.authordel Río-Andrade, Julio
dc.contributor.authorMedina-Valdebenito, Nicolás
dc.date.accessioned2022-01-17T20:06:53Z
dc.date.available2022-01-17T20:06:53Z
dc.date.issued2017
dc.description.abstractData analysis in sports has adopted many different approaches given its usefulness in quantitative and objective management. Several advances have been made considering the researches and technologies that have been developed up until now. It is possible to find many complex methodologies of sport performance analysis in order to have as much as information as possible to achieve success. Therefore, a wide variety of options are available for sport managers, coaches or anyone interested, including advances on information systems, data mining, machine learning and motion analysis. However, the cost of these powerful methodologies induces the search of cheaper techniques based on basic but proper notation methodology. The aim of this chapter is to provide an observational methodology for soccer match analysis. When paired with PageRank as the main indicator of performance, it allows for a deep analysis of the data and better decision-making and performance analysis in soccer. To show some insights about the proposed model, real data from past matches are presented and discussed. Results show graph visualization that sum up the whole match in terms of the flows of a network modelled with passes and recoveries from the players as weights of its edges. One implication of our research is to be a first approach in generalizing the PageRank algorithm to soccer team’s management, which could be extrapolated to other disciplines. It also points to the feasibility of making a quantitative analysis for sport managers with a reasonable cost-benefit ratio. This analysis opens the paths to further analysis that could include spatiotemporal variables.es
dc.identifier.citationRojas-Mora, J., Chávez-Bustamante, F., Río-Andrade, J.D., & Medina-Valdebenito, N. (2017). A Methodology for the Analysis of Soccer Matches Based on PageRank Centrality. En: Sports Management as an Emerging Economic Activity: Trends and Best Practices. Springer, Cap. 16, pp. 257-272es
dc.identifier.urihttp://hdl.handle.net/11447/5467
dc.language.isoen_USes
dc.subjectPageRankes
dc.subjectGraph theoryes
dc.subjectSocial networkes
dc.subjectObservational methodologyes
dc.subjectCentralityes
dc.titleA methodology for the analysis of soccer matches based on pagerank centralityes
dc.typeBook chapteres

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
A methodology for the analysis of soccer matches based on pagerank centrality.pdf
Size:
642.59 KB
Format:
Adobe Portable Document Format
Description:
Texto completo
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Artículos Economía y Negocios

Implementado por OpenGeek Services