Visual analytics for machine learning has recently evolved as one of the most exciting areas
in the field of visualization. To better identify which research topics are promising and to …

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 …

Tracking and identifying athletes on the pitch holds a central role in collecting essential
insights from the game such as estimating the total distance covered by players or …

Analysts in professional team sport regularly perform analysis to gain strategic and tactical
insights into player and team behavior. Goals of team sport analysis regularly include …

We present ShuttleSpace, an immersive analytics system to assist experts in analyzing
trajectory data in badminton. Trajectories in sports, such as the movement of players and …

Competitive sports data visualization is an increasingly important research direction in the
field of information visualization. It is also an important basis for studying human behavioral …

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

We present an interactive visual analytics system that enables traffic congestion exploration,
surveillance, and forecasting based on vehicle detector data. Through domain expert …

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 …

Augmented sports videos, which combine visualizations and video effects to present data in
actual scenes, can communicate insights engagingly and thus have been increasingly …