Recent developments in video analysis of sports and computer vision techniques have
achieved significant improvements to enable a variety of critical operations. To provide …

Large volumes of spatio-temporal data are increasingly collected and studied in diverse
domains, including climate science, social sciences, neuroscience, epidemiology …

Objective assessment of an athlete's performance is of importance in elite sports to facilitate
detailed analysis. The implementation of automated detection and recognition of sport …

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 …

Tactical match performance depends on the quality of actions of individual players or teams
in space and time during match-play in order to be successful. Technological innovations …

To understand the dynamic patterns of behaviours and interactions between athletes that
characterize successful performance in different sports is an important challenge for all sport …

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 …

Soccer analytics has long focused on the outcomes of discrete, on-ball events; however,
much of the sport's complexity resides in off-ball events. In the words of Johan Cruyff:“it is …

It is common practice amongst coaches and analysts to search for key performance
indicators related to attacking play in football. Match analysis in professional football has …

Due to the chaotic nature of soccer, the predictive statistical models have become in a
current challenge to decision-making based on scientific evidence. The aim of the present …