Team-based invasion sports such as football, basketball, and hockey are similar in the
sense that the players are able to move freely around the playing area and that player and …

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 data analysis is becoming increasingly large scale, diversified, and shared, but
difficulty persists in rapidly accessing the most crucial information. Previous surveys have …

Although the collection of player and ball tracking data is fast becoming the norm in
professional sports, large-scale mining of such spatiotemporal data has yet to surface. In this …

Sports game data is becoming increasingly complex, often consisting of multivariate data
such as player performance stats, historical team records, and athletes' positional tracking …

To the trained-eye, experts can often identify a team based on their unique style of play due
to their movement, passing and interactions. In this paper, we present a method which can …

This paper presents a method to assess a basketball player's performance from his/her first-
person video. A key challenge lies in the fact that the evaluation metric is highly subjective …

Sentiment analysis refers to the algorithmic extraction of subjective information from textual
data and—driven by the increasing amount of online communication—has become one of …

In the scientific community a large literature on sports forecasting exists, covering a wide
range of different sports, methods and research questions. At the same time a lack of …

Understanding the principles of real-world biological multi-agent behaviors is a current
challenge in various scientific and engineering fields. The rules regarding the real-world …