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Minimal Number of Events Required for Acceleration-Speed Profiling in Elite Women's Soccer
Patrick Cormier1,2,3, Ming-Chang Tsai1, Cesar Meylan1,3,4
1Canadian Sport Institute Pacific, Victoria, BC, Canada.
Valid acceleration-speed (AS) profiles can be reliably estimated from global navigation satellite system (GNSS) data using a minimum of nine training or match events. This finding is crucial for optimizing athlete performance monitoring in soccer.
Area of Science:
- Sports Science
- Biomechanics
- Performance Analysis
Background:
- Accurate assessment of athlete physical performance is essential for training prescription and injury prevention.
- Global Navigation Satellite System (GNSS) technology offers a feasible method for tracking athlete movements during training and competition.
- Acceleration-Speed (AS) profiles derived from GNSS data require sufficient data points for reliable estimation.
Purpose of the Study:
- To establish the minimum number of training or match events necessary to generate valid acceleration-speed (AS) profiles using GNSS data.
- To compare AS profile metrics derived from aggregated events with those obtained from dedicated sprint tests.
Main Methods:
- Nine elite female soccer players' data from 19 events over a 4-week camp were analyzed.
- Acceleration-speed (AS) profiles were calculated from GNSS 10-Hz data, and compared to force-velocity (FV) profiles from sprint tests.
- Linear mixed models and Dunnett post hoc tests were used to determine the significance of AS metrics based on the number of aggregated events.
Main Results:
- Theoretical maximal speed and acceleration metrics became statistically similar to sprint test references with 9–19 and 6–19 events, respectively.
- Slope metrics showed no significant difference from the reference across all tested event combinations (1–19 events).
- Small to trivial differences were observed for key AS profile metrics when aggregated from 9 or more events.
Conclusions:
- A minimum of 9 days of GNSS tracking data is sufficient for estimating valid acceleration-speed profiles in elite female soccer players.
- This finding supports the use of aggregated training and match data for performance monitoring.
- Further research is recommended to explore methods for deriving AS profiles from even fewer events.
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