Over the years data analytics for sports has developed consistently. Survival analysis is a method that allows to study the occurrence of a particular event during a period of follow-up. This work aims studying the main achievements associated to the probability of reaching a certain amount of points during a NBA season segment. A Stepwise Cox regression model and a Lasso Cox regression were used to select the most important variables. Two settings were examined, with 20% and 50% censoring. Results showed that attempting more shots, gaining more achievements (double doubles) and having been selected for the All-Star game increase the probability of success, i.e. exceeding the given threshold of points. Moreover, a higher number of steals seems to decrease the probability of reaching a certain amount of points. Thus, players more involved in this fundamental are penalized in terms of scored points.

A SURVIVAL ANALYSIS TO DISCOVER WHICH SKILLS DETERMINE A HIGHER SCORING IN BASKETBALL

Macis A.
;
Manisera M.;Sandri M.;Zuccolotto P
2023-01-01

Abstract

Over the years data analytics for sports has developed consistently. Survival analysis is a method that allows to study the occurrence of a particular event during a period of follow-up. This work aims studying the main achievements associated to the probability of reaching a certain amount of points during a NBA season segment. A Stepwise Cox regression model and a Lasso Cox regression were used to select the most important variables. Two settings were examined, with 20% and 50% censoring. Results showed that attempting more shots, gaining more achievements (double doubles) and having been selected for the All-Star game increase the probability of success, i.e. exceeding the given threshold of points. Moreover, a higher number of steals seems to decrease the probability of reaching a certain amount of points. Thus, players more involved in this fundamental are penalized in terms of scored points.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/572767
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