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Article

Characterization of Running Intensity in Canadian Football Based on Tactical Position

by
Abdullah Zafar
1,
Samuel Guay
2,
Sophie-Andrée Vinet
2,
Amélie Apinis-Deshaies
2,
Raphaëlle Creniault
2,
Géraldine Martens
2,
François Prince
2,3,4,* and
Louis De Beaumont
2,3
1
Department of Kinesiology, University of Waterloo, Waterloo, ON N2L 3G1, Canada
2
Centre de Recherche, Hôpital du Sacré-Cœur de Montréal, Montreal, QC H4J 1C5, Canada
3
Department of Surgery, Faculty of Medicine, University of Montreal, Montreal, QC H3T 1J4, Canada
4
Institut National du Sport du Québec, Montreal, QC H1V 3N7, Canada
*
Author to whom correspondence should be addressed.
Sensors 2024, 24(8), 2644; https://doi.org/10.3390/s24082644
Submission received: 17 March 2024 / Revised: 14 April 2024 / Accepted: 19 April 2024 / Published: 21 April 2024
(This article belongs to the Special Issue Feature Papers in Wearables 2024)
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Abstract

This study aimed to use a data-driven approach to identify individualized speed thresholds to characterize running demands and athlete workload during games and practices in skill and linemen football players. Data were recorded from wearable sensors over 28 sessions from 30 male Canadian varsity football athletes, resulting in a total of 287 performances analyzed, including 137 games and 150 practices, using a global positioning system. Speed zones were identified for each performance by fitting a 5-dimensional Gaussian mixture model (GMM) corresponding to 5 running intensity zones from minimal (zone 1) to maximal (zone 5). Skill players had significantly higher (p < 0.001) speed thresholds, percentage of time spent, and distance covered in maximal intensity zones compared to linemen. The distance covered in game settings was significantly higher (p < 0.001) compared to practices. This study highlighted the use of individualized speed thresholds to determine running intensity and athlete workloads for American and Canadian football athletes, as well as compare running performances between practice and game scenarios. This approach can be used to monitor physical workload in athletes with respect to their tactical positions during practices and games, and to ensure that athletes are adequately trained to meet in-game physical demands.
Keywords: wearable sensors; training; game; workload; physical performance; gaussian mixture model wearable sensors; training; game; workload; physical performance; gaussian mixture model

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MDPI and ACS Style

Zafar, A.; Guay, S.; Vinet, S.-A.; Apinis-Deshaies, A.; Creniault, R.; Martens, G.; Prince, F.; De Beaumont, L. Characterization of Running Intensity in Canadian Football Based on Tactical Position. Sensors 2024, 24, 2644. https://doi.org/10.3390/s24082644

AMA Style

Zafar A, Guay S, Vinet S-A, Apinis-Deshaies A, Creniault R, Martens G, Prince F, De Beaumont L. Characterization of Running Intensity in Canadian Football Based on Tactical Position. Sensors. 2024; 24(8):2644. https://doi.org/10.3390/s24082644

Chicago/Turabian Style

Zafar, Abdullah, Samuel Guay, Sophie-Andrée Vinet, Amélie Apinis-Deshaies, Raphaëlle Creniault, Géraldine Martens, François Prince, and Louis De Beaumont. 2024. "Characterization of Running Intensity in Canadian Football Based on Tactical Position" Sensors 24, no. 8: 2644. https://doi.org/10.3390/s24082644

APA Style

Zafar, A., Guay, S., Vinet, S.-A., Apinis-Deshaies, A., Creniault, R., Martens, G., Prince, F., & De Beaumont, L. (2024). Characterization of Running Intensity in Canadian Football Based on Tactical Position. Sensors, 24(8), 2644. https://doi.org/10.3390/s24082644

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