Marginal contribution of game statistics to probability of playing playoff at elite basketball leagues

Bibliographic Data

ID17801726
AuthorsJosé María Casado Izquierdo (0000-0003-3660-0959, Universidad de León, corresponding author), Luis Enrique Pedauga (0000-0002-1654-6804, Universidad de León), Ana Pardo-Fanjul (Universidad de León), Juan Carlos Redondo Castán (0000-0002-0050-9638, Universidad de León)
Year2021
Volume16
Issue49
Publication date2021-09-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueCultura Ciencia y Deporte (JOURNAL)
Journal identifiersISSN: 1696-5043 • E-ISSN: 1989-7413
PublisherUCAM CCD (PUBLISHER)
DOI10.12800/ccd.v16i49.1586
OpenAlexW3200389804
LanguageEN
Citations received2
References cited6

The multilevel ordinal logistic mixed-effects method applied is proposed as a support tool to management in basketball teams helping to identify the game-related statistics that discriminate the final ranking in a regular season classification. A sample of 10684 games that cover 10 seasons and reach sample of 752 cases were evaluated from the two main Spanish basketball leagues (male and female). The multilevel analysis applied identifies the marginal effects of the main variables regularly evaluated by coaches and managers in basketball leagues, which may help them improve the performance of their teams. The results revealed that in Relegation zone the marginal contribution of field shots, defensive rebound, steals and turnovers percentage are 8.3 percentage points (pp), 7 pp, 9.6 pp and 8.6 pp respectively, higher than in Play-off zone (p<0.01). The model applied in this study make a significant contribution to the literature by identifying a methodology that can be straightforwardly extended for an assessment at the ranking of teams helping coaches in making important decisions such as hierarchically discriminating which factors are the most relevant in their league, both to avoid the relegation zone and to access the promotion zone

Art · Basketball · Elite · Geography · Humanities · League · Logistic regression · Physics · Political science · Statistics · Mathematics · Psychology · Sports Analytics and Performance · Sports and Physical Education Studies · Sports Performance and Training

Tools

Open DOIOpen Access