Dynamic Network DEA approach to basketball games efficiency
G. Villa and
S. Lozano
Journal of the Operational Research Society, 2018, vol. 69, issue 11, 1738-1750
Abstract:
Although Data Envelopment Analysis (DEA) has been widely applied to sports, not many studies are related to basketball. Two types of approaches have been developed to measure the efficiency in basketball so far: those focused on the assessment of players and those that assess the performance of the teams. Assuming that the number of points scored in a basketball game greatly influences the appeal of a game, in this paper, a new approach focused on the measurement of the scoring efficiency of the two teams that play a game is addressed. To do that, the performance of each team in each quarter and the carry-overs between successive quarters must be taken into account. This leads to a Dynamic Network DEA model with two subprocess (corresponding to the home and visitor teams) running in each quarter. A scoring efficiency can be computed for each team in each quarter as well as for each team overall, for each quarter overall and for the whole game. The proposed approach is applied to the matches played during the 2014–2015 NBA season.
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
http://hdl.handle.net/10.1080/01605682.2017.1409158 (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:tjorxx:v:69:y:2018:i:11:p:1738-1750
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjor20
DOI: 10.1080/01605682.2017.1409158
Access Statistics for this article
Journal of the Operational Research Society is currently edited by Tom Archibald
More articles in Journal of the Operational Research Society from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().