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 professional soccer, increasing amounts of data are collected that harness great potential
when it comes to analysing tactical behaviour. Unlocking this potential is difficult as big data …

The rapid progress in artificial intelligence (AI) and machine learning has opened
unprecedented analytics possibilities in various team and individual sports, including …

In this report, we organize and reflect on recent advances and challenges in the field of
sports data visualization. The exponentially‐growing body of visualization research based …

Sports involve commonly players and equipment of high dynamics. Their location and
motion data are essential for sports digitalization-related applications, such as from …

Detecting counterpressing is an important task for any professional match-analyst in football
(soccer), but is being done exclusively manually by observing video footage. The purpose of …

In this paper, we present a method which accurately estimates the likelihood of chances in
soccer using strategic features from an entire season of player and ball tracking data taken …

Identifying and measuring soccer playing styles is a very important step toward a more
effective performance analysis. Exploring the different game styles that a team can adopt to …

Regarded as a high-level tactic in soccer, a team formation assigns players different tasks
and indicates their active regions on the pitch, thereby influencing the team performance …

Modern movement tracking technologies enable acquisition of high quality data about
movements of the players and the ball in the course of a football match. However, there is a …