Morphological and Performance Biomechanics Profiles of Draft Preparation American-Style Football Players

  • Monique Mokha
  • , Maria Berrocales
  • , Aidan Rohman
  • , Andrew Schafer
  • , Jack Stensland
  • , Joseph Petruzzelli
  • , Ahmad Nasri
  • , Talia Thompson
  • , Easa Taha
  • , Pete Bommarito

Research output: Contribution to journalArticlepeer-review

Abstract

Background/Objectives: Using advanced methodologies may enhance athlete profiling. This study profiled morphological and laboratory-derived performance biomechanics by position of American-style football players training for the draft. Methods: Fifty-five players were categorized into three groups: Big (e.g., lineman; n = 17), Big–skill (e.g., tight end; n = 11), and Skill (e.g., receiver; n = 27). Body fat (BF%), lean body mass (LBM), and total body mass were measured using a bioelectrical impedance device. Running ground reaction force (GRF) and ground contact time (GCT) were obtained using an instrumented treadmill synchronized with a motion capture system. Dual uniaxial force plates captured countermovement jump height (CMJ-JH), normalized peak power (CMJ-NPP), and reactive strength. Asymmetry was calculated for running force, GCT, and CMJ eccentric and concentric impulse (IMP). MANOVA determined between-group differences, and radar plots for morphological and performance characteristics were created using Z-scores. Results: There was a between-group difference (F(26,80) = 5.70, p < 0.001; Wilk’s Λ = 0.123, partial η2 = 0.649). Fisher’s least squares difference post hoc analyses showed that participants in the Skill group had greater JH, CMJ-NPP, reactive strength, and running GRF values versus Big players but not Big–skill players (p < 0.05). Big athletes had greater BF%, LBM, total body mass, and GCT values than Skill and Big–skill athletes (p < 0.05). Big–skill players had greater GCT asymmetry than Skill and Big players (p < 0.05). Asymmetries in running forces, CMJ eccentric, and concentric IMP were not different (p > 0.05). Morphological and performance biomechanics differences are pronounced between Skill and Big players. Big–skill players possess characteristics from both groups. Laboratory-derived metrics offer precise values of running and jumping force strategies and body composition that can aid sports science researchers and practitioners in refining draft trainee profiles.

Original languageEnglish
Pages (from-to)685-697
Number of pages13
JournalBiomechanics (Switzerland)
Volume4
Issue number4
DOIs
StatePublished - Dec 2024

Bibliographical note

Publisher Copyright:
© 2024 by the authors.

ASJC Scopus Subject Areas

  • Orthopedics and Sports Medicine
  • Rehabilitation
  • Biomedical Engineering

Keywords

  • asymmetry
  • body composition
  • countermovement jump
  • jumping kinetics
  • lower-body power
  • motion capture
  • running kinetics

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