This study involved a systematic literature review using bibliometric analysis to examine the
evolution and current trends of Markov switching studies. The bibliometric analysis was used …

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 …

Measuring players' importance in team sports to help coaches and staff with the aim of
winning the game is gaining relevance, mainly because of the advent of new data and …

In the intersecting fields of data mining (DM) and sports analytics, the impact of
socioeconomic, demographic, and injury-related factors on sports performance and …

Introduction Performance analysis through game-related statistics in wheelchair basketball
(WB) has focused mainly on the study of the individual efficiency of players according to their …

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 …

Decision trees constitute a simple yet powerful and interpretable machine learning tool.
While tree-based methods are designed only for cross-sectional data, we propose an …

In a close game of basketball, victory or defeat can depend on a single shot. Being able to
identify the best player and play scenario for a given opponent's defense can increase the …

This paper deals with the challenging themes of the way sporting teams and athletes are
ranked in sports competitions. Starting from the paradigmatic case of soccer, we advance a …

In this article, Poisson time series models are considered to describe the number of field
goals made by a basketball team or player at both the game (within-season) and the minute …