Given the recent trend in Data Science (DS) and Sports Analytics, an opportunity has arisen
for utilizing Machine Learning (ML) and Data Mining (DM) techniques in sports. This paper …

In recent years, analytics has started to revolutionize the game of basketball: Quantitative
analyses of the game inform team strategy; management of player health and fitness; and …

Basketball is one of a number of sports which, within the past decade, have seen an
explosion in quantitative metrics and methods for evaluating players and teams. However, it …

Netball is a newly professional women's sport, as such there has been little research
conducted investigating performance analysis (PA) in elite netball. The aim of this study was …

This study aimed to systematically review the current scientific literature on game-related
statistics (GRS) that better discriminate between basketball winning and losing teams, and to …

The 2013 arrival of SportVU player tracking data in all NBA arenas introduced an
overwhelming amount of on-court information—information which the league is still learning …

Every shot in basketball has an opportunity cost; one player's shot eliminates all potential
opportunities from their teammates for that play. For this reason, player-shot efficiency …

In recent years, sport analytics evolved in the massive collection of data, especially from
Global Positioning System (GPS) sensors installed in sport facilities or worn by the athletes …

The study aim was to investigate ball movement patterns using network analysis techniques,
to compare between successful and unsuccessful outcomes and teams in the Australian …

The role of intrinsic dimension in high-resolution player tracking data-Insights in basketball
Page 1 The Annals of Applied Statistics 2022, Vol. 16, No. 1, 326–348 https://doi.org/10.1214/21-AOAS1506 …