Predicting the outcome of National Basketball Association (NBA) matches poses a
challenging problem of interest to the research community as well as the general public. In …

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 …

Predicting the winner of a basketball game is a difficult task, due to the inherent complexity
of team sports. All 10 players on the court interact with each other and this intricate web of …

Electronic Journal of Applied Statistical Analysis EJASA, Electron. J. App. Stat. Anal. e-ISSN:
2070-5948 DOI: 10.1285/i20705948 Page 1 Electronic Journal of Applied Statistical Analysis …

Our hypothesis is that the video game industry, in the attempt to simulate a realistic
experience, has inadvertently collected very accurate data which can be used to solve …

Sports analytics is one of the fast-growing applications of machine learning and data mining.
The major goal in sport analytics applications is to make informed decisions to gain a …

Winning a game in professional sports is the most significant matter for a team. All teams
strive to bring their best performance to a game, and this requires considering all the …

In this study we focus on the prediction of basketball games in the Euroleague competition
using machine learning modelling. The prediction is a binary classification problem …

Plus-minus is a widely used performance metric in sports. Players with high plus-minus
ratings are often considered more efficient than others. While numerous plus-minus models …

In this contribution, we investigate the importance of Oliver's Four Factors, proposed in the
literature to identify a basketball team's strengths and weaknesses in terms of shooting …