Publication Date:
2020
Abstract:
In recent years, the interest in basketball statistics has greatly increased and new methods and models have been proposed to analyze basketball data with several interesting aims. In this contribution, after briefly introducing the state of the art of basketball analytics, we offer an overview of possible basic and advanced investigations in performance analysis in basketball, with focus on some opportunities offered by the R package BasketballAnalyzeR.
CRIS type:
2.1 Contributo in volume (Capitolo o Saggio)
List of contributors:
Manisera, Marica; Sandri, Marco; Zuccolotto, Paola
Book title:
Science meets Sports: when statistics are more than numbers