StreamTeam-Football: Analyzing Football Matches in Real-Time on the Basis of Position Streams
Lukas Probst, Heiko Schuldt, Philipp Seidenschwarz, Martin Rumo · 2020
In recent years, Big Data has become an important topic in many areas of our daily lives, including sports. Almost all professional clubs analyze matches to improve the performance of their teams. However, events are still predominantly captured manually, although many sensor-based and video-based tracking systems exist which provide the positions of the players and the ball in real-time. This manual process is tedious and error-prone. In this paper, we present STREAMTEAM-FOOTBALL, an open source football analysis application, that fills this gap. STREAMTEAM-FOOTBALL allows to analyze football matches fully automatically and in real-time on the basis of tracked position data using a data stream analysis approach. Our evaluation confirms the effectiveness of our automated analysis.