A Bayesian asymmetric logistic model of factors underlying team success in top‐level basketball in Spain

摘要: This paper analyses the factors underlying victories and defeats of Spanish basketball teams Real Madrid Barcelona in national league, ACB. The following research questions were addressed: (a) Is it possible to identify these results? (b) Can knowledge increase probability winning thus help coaches take better decisions? We analysed 80 79 games played 2013–2014 season by Barcelona, respectively. Logistic regression analysis was performed predict team winning. models estimated standard (frequentist) Bayesian methods, taking into account asymmetry data, that is, fact database contained many more wins than losses. Thus, consisted an asymmetric logistic regression. From standpoint, this model considered most appropriate, as highlighted relevant might remain undetected prediction quality obtained tested application results produced (2014–2015). Again, achieved best results. In view study findings, we make various practical recommendations improve decision making field. short, is a valuable tool can their game strategies.