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Application of four different football match analysis systems: a comparative study
Morten B Randers1, Inigo Mujika, Adam Hewitt
1Department of Exercise and Sport Sciences, University of Copenhagen, Copenhagen, Denmark.
Four systems accurately tracked football player fatigue, showing reduced high-intensity running over time. However, absolute distance measurements varied significantly between systems, requiring cautious interpretation of comparative data.
Area of Science:
- Sports Science
- Biomechanics
- Performance Analysis
Background:
- Football performance analysis relies on accurate tracking of player activity and fatigue.
- Various technologies, including video analysis and GPS, are used to monitor these metrics.
- Understanding the comparability of these systems is crucial for reliable research and coaching.
Purpose of the Study:
- To compare the activity patterns and fatigue development in football players using four different tracking systems.
- To assess the ability of each system to detect performance decrements during a match.
- To identify potential discrepancies in distance measurements between systems.
Main Methods:
- Four systems were employed: a video-based time-motion analysis system, a semi-automatic multiple-camera system, and two GPS units (5 Hz and 1 Hz).
- Twenty professional football players participated in a match, with data collected on total distance, high-intensity running, and sprinting.
- Statistical analysis compared performance metrics across different 15-minute intervals and between systems.
Main Results:
- All systems detected significant reductions in total distance and high-intensity running in the final 15 minutes compared to earlier periods.
- High-intensity running decreased by 37-50% from the first to the last 15-minute interval across systems.
- Substantial differences were observed in the absolute distances recorded by each system.
Conclusions:
- The four analyzed systems can effectively detect game-induced fatigue and performance decrements in football.
- Researchers and practitioners should exercise caution when comparing absolute performance data across different tracking systems due to inter-system variability.
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