Basketball Game-related statistics discriminating ACB league teams according to game location, game outcome and final score differences
Javier García,
J. Sergio Ibáñez,
A. Miguel Gómez and
Jaime Sampaio
International Journal of Performance Analysis in Sport, 2014, vol. 14, issue 2, 443-452
Abstract:
The aim of the study was to identify the basketball performance indicators that best discriminated winning and losing teams according to game location and final score differences. The sample used was composed by 306 games of the ACB basketball league from the 2007-2008 regular season. A cluster of k-means was used to split the sample into 3 groups: balanced (differences between 1 and 12 points); unbalanced (differences between 13 and 28 points) and blowout games (differences above 28 points). The results obtained from the discriminant analysis showed that home teams were discriminated from away teams by assists (SC=.41), successful 2-point field goals (SC=.40) and defensive rebounds (SC=.36) during balanced games when home teams won. Conversely, when visiting teams win, assists (SC=.33) and steals (SC=.42) discriminated home and away teams. In unbalanced games, when home teams win, home and away teams were discriminated by assists (SC=.30). On the other hand when away teams win, home teams were discriminated from away teams by assists (SC=.31) and 3-point field-goals (SC=-.33). These findings may help coaches to prepare and design specific programs focused on game dynamics.
Date: 2014
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://hdl.handle.net/10.1080/24748668.2014.11868733 (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:14:y:2014:i:2:p:443-452
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RPAN20
DOI: 10.1080/24748668.2014.11868733
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 ().