Analysis of players’ configurations by means of artificial neural networks

Jörg M. J♀ger, Jürgen Perl and I. Wolfgang Schöllhorn

International Journal of Performance Analysis in Sport, 2007, vol. 7, issue 3, 90-105

Abstract: Quantifying tactics in team sports is of major interest for reliable diagnostics and goal oriented training but it is usually accompanied by the problem of considering several athletes at once. The purpose of this study is to analyze changes of patterns of configurations and the team specific variability of the underlying tactical concepts. This is done by means of self organizing maps that are trained with the configurations (i.e. players’ positions) of female volleyball players from the world championship 2002. A time discrete (target configurations) as well as time continuous (trajectories of configuration changes) oriented approach is chosen and compared. Results show that the classification of constellations is possible and may support a qualitative analysis of structural interactions within a game. Furthermore, a detailed analysis of the rally from Germany vs. Italy shows, that the German team uses fewer types of configurations more often whereas the Italian team chooses from more constellations but less frequently. Since the world champion of 2002 – Italy – shows a higher variability of configuration patterns, these variable tactics seem to correlate with success in team sports.

Date: 2007
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1080/24748668.2007.11868413 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:rpanxx:v:7:y:2007:i:3:p:90-105

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RPAN20

DOI: 10.1080/24748668.2007.11868413

Access Statistics for this article

International Journal of Performance Analysis in Sport is currently edited by Peter O'Donoghue

More articles in International Journal of Performance Analysis in Sport from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().