4.6 Article

Positional Differences in Pre-Season Scrimmage Performance of Division I Collegiate Football Players

Journal

SENSORS
Volume 21, Issue 3, Pages -

Publisher

MDPI
DOI: 10.3390/s21030769

Keywords

American football; heart rate; sport performance; wearable technology

Funding

  1. Robert and Patricia Hines endowed professorship in Kinesiology of Louisiana State University

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This study aimed to describe the physical demands of American football players using novel performance analysis techniques. Results showed differences in physical demands and activity levels between players in different positions and on offense and defense sides.
This study aimed to describe the physical demands of American football players using novel performance analysis techniques. Heart rate (HR) and accelerometer-based activity levels were observed across two pre-season scrimmages in 23 Division I collegiate football players (age: 19 +/- 1 y, height: 1.90 +/- 0.06 m, weight: 116.2 +/- 19.4 kg). Data were analyzed using a MATLAB program and inter-rater reproducibility assessed using inter-class correlations (ICC). Players were analyzed by side (offense/defense) and position (skill/non-skill). Performance variables assessed in bursts of activity included burst duration, HRmean and HRmax (bpm), and mean activity (vector magnitude units [vmu]). Exercise intensity was categorized as time spent in % HRmax in 5% increments. The burst duration (8.1 +/- 3.9 min, ICC = 0.72), HRmean (157 +/- 12 bpm, ICC = 0.96) and mean activity (0.30 +/- 0.05 vmu, ICC = 0.86) were reproducible. HRmean (p = 0.05) and HRmax (p = 0.001) were greater on defense. Offense spent more time at 65-70% HRmax (p = 0.01), 70-75% HRmax (p = 0.02) while defense spent more time 90-95% HRmax and >= 95% HRmax (p = 0.03). HRmean (p = 0.70) and HRpeak (p = 0.80) were not different between positions across both sides. Skilled players demonstrated greater mean activity (p = 0.02). The sport-specific analysis described HR and activity level in a reproducible manner. Automated methods of assessing HR may be useful in training and game time performance but ultimately provides support to coaching decision making.

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