This study evaluates the capability of a smartphone-based radar gun to track player movement during a football match. Measurement accuracy was assessed by comparing data from the smartphone-based radar gun with that obtained from a global positioning system (GPS) device. Additionally, data were collected from team-sport-specific conditioning (TSSC) activities for comparative analysis. Seven football players participated in the study: three during match play and four during TSSC activities. All players wore GPS sports vests, and their movements were simultaneously recorded using a smartphone-based radar gun and a 10 Hz GPS device. Match data were segmented into four 20 min halves with 5 min rest intervals, while the TSSC protocol included four movement patterns: two straight-line runs (25 m and 50 m), a 30 m zig-zag course, and two L-shaped runs (25 m and 10 m). Each circuit was repeated twice with a 1 min rest between repetitions. Results indicated that in-match speeds (mean ± SD = 1.39 ± 1.61 m/s) were better than those recorded during TSSC activities (mean ± SD = 1.79 ± 0.48 m/s), contradicting the initial hypothesis that radar guns would yield more accurate readings in controlled TSSC environments. This discrepancy may be attributed to the structured nature of TSSC activities, which fail to replicate the dynamic and unpredictable movements of real match play. In conclusion, smartphone-based radar guns show promise for tracking player movement in both match and TSSC settings. However, the limited in-match data collected in this study may not fully represent real-world performance. Future research should incorporate a larger dataset to enhance the reliability of these findings. This study provides an initial step toward validating smartphone-based radar guns as a viable tool for football performance tracking.

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Kinematics Tracking Performance of In-Match Football Activities Using Smartphone-Based Radar Gun

  • Siti Nur Aqilah Rusli,
  • Khairul Imran Sainan

摘要

This study evaluates the capability of a smartphone-based radar gun to track player movement during a football match. Measurement accuracy was assessed by comparing data from the smartphone-based radar gun with that obtained from a global positioning system (GPS) device. Additionally, data were collected from team-sport-specific conditioning (TSSC) activities for comparative analysis. Seven football players participated in the study: three during match play and four during TSSC activities. All players wore GPS sports vests, and their movements were simultaneously recorded using a smartphone-based radar gun and a 10 Hz GPS device. Match data were segmented into four 20 min halves with 5 min rest intervals, while the TSSC protocol included four movement patterns: two straight-line runs (25 m and 50 m), a 30 m zig-zag course, and two L-shaped runs (25 m and 10 m). Each circuit was repeated twice with a 1 min rest between repetitions. Results indicated that in-match speeds (mean ± SD = 1.39 ± 1.61 m/s) were better than those recorded during TSSC activities (mean ± SD = 1.79 ± 0.48 m/s), contradicting the initial hypothesis that radar guns would yield more accurate readings in controlled TSSC environments. This discrepancy may be attributed to the structured nature of TSSC activities, which fail to replicate the dynamic and unpredictable movements of real match play. In conclusion, smartphone-based radar guns show promise for tracking player movement in both match and TSSC settings. However, the limited in-match data collected in this study may not fully represent real-world performance. Future research should incorporate a larger dataset to enhance the reliability of these findings. This study provides an initial step toward validating smartphone-based radar guns as a viable tool for football performance tracking.