Published 2023-05-23
Keywords
- Stepwise Cox regression,
- Lasso Cox regression,
- Basketball analytics,
- Performance
How to Cite
Copyright (c) 2023 Ambra Macis, Marica Manisera, Paola Zuccolotto, Marco Sandri
This work is licensed under a Creative Commons Attribution 4.0 International License.
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 LASSO Cox regression were used to select the most important variables. Two settings were examined: in the first one only a 20% of censoring was admitted, while in the second one 50% of the subjects was censored, i.e. did not experience the event. It emerged 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 gaining a certain amount of points. Thus, players more involved in this fundamental are penalized in terms of gained points.