The increase in the volume of structured and unstructured data related to more than just
sport events leads to the development and increased use of techniques that extract …

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 …

Sports analytics—broadly defined as the pursuit of improvement in athletic performance
through the analysis of data—has expanded its footprint both in the professional sports …

In this paper, we analyze the shooting performance of basketball players by examining the
factors that may generate high-pressure game situations. Using play-by-play data from the …

In this paper, we present the ON score for evaluating the performance of athletes and teams
that includes a season-long evaluation system, a single-game evaluation, and an evaluation …

Sports analytics has gained rapid popularity in recent years and will likely continue to
evolve. In this study, we construct predictive analytics models to forecast the NFL games …

Bayesian methods are becoming increasingly popular in sports analytics. Identified
advantages of the Bayesian approach include the ability to model complex problems, obtain …

Existing methods for player evaluation in American football rely heavily on proprietary data,
are often not reproducible, lag behind those of other major sports, and are not interpretable …

The increasing availability of data from sports events has led to many new directions of
research, and sports analytics can play a role in making better decisions both within a club …

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 …