Using data from one season of NBA games, Basketball Data Science: With Applications in R
is the perfect book for anyone interested in learning and applying data analytics in …

In this paper a weighted complex network is used to detect communities of basketball
players on the basis of their performances. A sparsification procedure to remove weak …

In basketball, measures of individual player performance provide critical guidance for a
broad spectrum of decisions related to training and game strategy. However, most studies …

Sports behavior uncertainty is a main cause of mismatch between simulated and actual
visual comfort in sports spaces, which has not been properly addressed in existing studies …

Because of the advent of GPS techniques, a wide range of scientific literature on Sport
Science is nowadays devoted to the analysis of players' movement in relation to team …

This paper proposes tools for spatial performance analysis in basketball. In detail, we aim at
representing maps of the court visualizing areas with different levels of scoring probability of …

Assessing the scoring probability of teams and players in different areas of a court map is an
important topic in basketball analytics, in order to define both game strategies and training …

This paper explores defensive play in soccer. The analysis is predicated on the assumption
that the area of the convex hull formed by the players on a team provides a proxy for …

SUMMARY Big Data Analytics help team sports' managers in their decisions by processing
a number of different kind of data. With the advent of Information Technologies, collecting …

Basketball exerts a significant global influence, marked by intense competition and
widespread participation, contributing substantially to the global economy. Recent …