Video Analysis of Elite American Football Athletes During Vertical Jump
While no single variable predicted jump height, distinct strategies were evident between the top and bottom 25% performers based on component correlations. The regression model approached significance in predicting rookie AV (R^2^ = 0.94, p = 0.052), with notable components like heel pauses for skilled positions and greater knee flexion for linemen. By creating models that can predict jump height or AV, variables can be identified that can be used to improve one's jump height or, in the case of AV, that can be used to predict which draft prospects will perform better in the NFL.
Authors
- Joseph Kip Kosek
- Christopher Wilburn
- Bahman Adlou
- Mark J. Hancock (ORCID: https://orcid.org/0000-0002-9277-5377)
- Wendi H. Weimar (ORCID: https://orcid.org/0000-0001-6664-7999)
- Kyle T. Malone (ORCID: https://orcid.org/0000-0001-6627-4379)
- J. Grace
- Hannah Rose Houde
Institutions
- Auburn University (US)
Publication Details
- Journal
- Open Access Journal of Sports Medicine
- Published
- 2024-12-01
- DOI
- https://doi.org/10.2147/oajsm.s481805
- Primary Topic
- Sports Performance and Training
- Type
- article
- Field-Weighted Citation Impact
- 0.00