Document Type
Article (Journal or Newsletter)
Scholarship Type
Faculty Scholarship, Student Scholarship
Publication Date
12-27-2023
Abstract
Research into women’s competitive soccer matches has shown distance and high-speed running (HSR) reductions over time, but the effects on some GPS-derived metrics have not been investigated. The purpose of this project was to examine the utility of common GPS metrics for indicating fatigue from the T-SAFT90 match simulation in collegiate soccer players. Unlike in competitive matches, changes to these metrics occurred as early as 15 min, with HSR, average and max speed, and speed intensity (SI) exhibiting significant declines. HSR and SI were even further decreased in later periods, with HSR lower in minutes 30–40 (T30–35 and T35–40) than T15–20 and lower in T70–85 than T45–60. SI showed a similar pattern of continued decline, reaching its lowest value in the last three time segments. Accelerations and decelerations were also decreased beginning at T15–20 and T20–25, respectively, but the fatigue index (FI), dynamic stress load (DSL), and step balance (SB) were unchanged. It can be concluded that in contrast to competitive matches where players can dictate their own intensity, a match simulation may result in a quicker onset of fatigue, but not all GPS-derived values change as expected in fatiguing environments. Coaches and sports scientists may use these findings to properly monitor fatigue in real time.
Additional Affiliated Department, Center or Institute
Health Sciences
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Snyder, B. J., Maung-Maung, C., & Whitacre, C. (2024). Indicators of Fatigue during a Soccer Match Simulation Using GPS-Derived Workload Values: Which Metrics Are Most Useful? Sports, 12(1), 9. https://doi.org/10.3390/sports12010009
Comments
Open access publication of this article was supported by the Furman University Libraries Open Access Fund.