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Broadcast analytics - an evaluation of video-based tracking systems with constrained player visibility
Manuel Bassek1, Jonas Theiner2, Ralph Ewerth2,3
1Institute of Exercise Training and Sport Informatics, German Sport University Cologne, Cologne, Germany.
Science & Medicine in Football
|July 16, 2025
Summary
Soccer broadcast tracking data quality varies. Player visibility significantly impacts physical performance metrics but has less effect on tactical analysis, highlighting the need for data transparency.
Area of Science:
- Sports Science
- Performance Analysis
- Football Analytics
Background:
- Player tracking data from broadcast videos is increasingly common.
- Off-screen player actions are a limitation due to incomplete visibility.
- Assessing the impact of this visibility limitation on data analysis is crucial.
Purpose of the Study:
- To investigate how player visibility in soccer broadcast videos affects physical and tactical performance metrics.
- To compare the quality of emulated broadcast tracking data against official player tracking data.
- To determine the reliability of different broadcast data sources for performance analysis.
Main Methods:
- Emulated broadcast player tracking data from scouting feeds (SF) and broadcast television (TV).
- Comparison with official player tracking data (GT) in two experiments.
- Experiment 1: Assessed impact on total and high-speed distance covered.
- Experiment 2: Evaluated effect on tactical formation detection using template matching.
Main Results:
- Scouting feeds (SF) showed 97% player activity visibility, while broadcast television (TV) showed less than 50%.
- Visibility significantly impacted physical intensity metrics (Experiment 1).
- SF visibility had minimal impact on tactical formation accuracy, while TV visibility caused minor reductions (Experiment 2).
Conclusions:
- Broadcast tracking data can be useful for tactical analysis but may be less reliable for physical metrics due to missing data.
- Transparency from data providers regarding methodologies is essential for users to evaluate data suitability.
- Interpolation techniques may improve data quality but do not fully negate visibility limitations.

