Ball possession effectiveness in men's and women's elite basketball according to situational variables in different game periods

Abstract

The aim of the present study was to identify the importance of basketball performance indicators in predicting the effectiveness of ball possessions in men's and women's basketball, when controlling for situational variables and game periods. The sample consisted of 7234 ball possessions, corresponding to 40 games from the Spanish professional leagues. The effects of the predictor variables on successful ball possessions according to game period were analysed using binary logistic regressions. Results from men's teams show interactions with number of passes and ending player during the first five minutes, with starting and ending zone, defensive systems, screens used and possession duration during the middle thirty minutes, and there were interactions with passes used, possession duration and players involved during the last five minutes. Results from women's teams show interactions with starting and ending zone, passes used, defensive systems and ending player during the first five minutes, and with starting and ending zone, and screens used during the middle thirty minutes. The results show no interaction with situational variables in men's basketball, while league stage was important during the middle thirty minutes and last five minutes in women's basketball, whereas match status was only important during the last five minutes.

Influência das variáveis contextuais no desempenho das equipes nos últimos 10 minutos do jogo de handebol

“…A importância dos últimos minutos do jogo tem sido ressaltada por diversos autores, especialmente em jogos equilibrados [20][21][22][23][24] . O fato dos últimos minutos de jogo serem reconhecidos como a zona de maior risco que exige uma atitude ponderada em campo 24 , justi ca a pertinência da análise das ações das equipes neste período temporal.…”

Match Statistics as Predictors of Team’s Performance in Elite competitive Handball. [Estadística del partido como predictor del rendimiento de equipo en el balonmano de élite].

“…The use of data from the official statistics allow us to contextualize the events in a handball match and to identify the indicators that have a significant influence on the final result. As several authors note (Gómez, Battaglia, Lorenzo, Lorenzo, Jiménez, and Sampaio, 2015;Gómez, Lorenzo, Ibáñez, and Sampaio, 2013;Liu et al, 2015;Sampaio et al, 2013), it is important to take the box score of the match as a global indicator of group performance. The present study is the first to include attack, defense, and goalkeeper variables together as indicators of team performance.…”

A Comparative Study of Logistic Models Using an Asymmetric Link: Modelling the Away Victories in Football

“…Logit models have been used widely in several fields, including medicine, biology, psychology, economics, insurance, politics, etc. Recent applications of the linear logit specification in statistics in sports are [13,14] in basketball, [15,16] for football, among others.…”