Literature DB >> 18841077

The NFL combine: does it predict performance in the National Football League?

Frank E Kuzmits1, Arthur J Adams.   

Abstract

The authors investigate the correlation between National Football League (NFL) combine test results and NFL success for players drafted at three different offensive positions (quarterback, running back, and wide receiver) during a recent 6-year period, 1999-2004. The combine consists of series of drills, exercises, interviews, aptitude tests, and physical exams designed to assess the skills of promising college football players and to predict their performance in the NFL. Combine measures examined in this study include 10-, 20-, and 40-yard dashes, bench press, vertical jump, broad jump, 20- and 60-yard shuttles, three-cone drill, and the Wonderlic Personnel Test. Performance criteria include 10 variables: draft order; 3 years each of salary received and games played; and position-specific data. Using correlation analysis, we find no consistent statistical relationship between combine tests and professional football performance, with the notable exception of sprint tests for running backs. We put forth possible explanations for the general lack of statistical relations detected, and, consequently, we question the overall usefulness of the combine. We also offer suggestions for improving the prediction of success in the NFL, primarily the use of more rigorous psychological tests and the examination of collegiate performance as a job sample test. Finally, from a practical standpoint, the results of the study should encourage NFL team personnel to reevaluate the usefulness of the combine's physical tests and exercises as predictors of player performance. This study should encourage team personnel to consider the weighting and importance of various combine measures and the potential benefits of overhauling the combine process, with the goal of creating a more valid system for predicting player success.

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Year:  2008        PMID: 18841077     DOI: 10.1519/JSC.0b013e318185f09d

Source DB:  PubMed          Journal:  J Strength Cond Res        ISSN: 1064-8011            Impact factor:   3.775


  13 in total

1.  Off-season training habits and preseason functional test measures of division iii collegiate athletes: a descriptive report.

Authors:  Jason Brumitt; Bryan C Heiderscheit; Robert C Manske; Paul E Niemuth; Mitchell J Rauh
Journal:  Int J Sports Phys Ther       Date:  2014-08

2.  Constructs versus Measures in Personality and Other Domains: What Distinguishes Normal and Clinical?

Authors:  Brenton M Wiernik; Marina Bornovalova; Stephen E Stark; Deniz S Ones
Journal:  Ind Organ Psychol       Date:  2019-08-01

3.  Reliability and criterion-related validity of the 20-yard shuttle test in competitive junior tennis players.

Authors:  Anna Eriksson; Fredrik R Johansson; Maria Bäck
Journal:  Open Access J Sports Med       Date:  2015-08-14

4.  Physical characteristics of elite adolescent female basketball players and their relationship to match performance.

Authors:  Azahara Fort-Vanmeerhaeghe; Alicia Montalvo; Alexander Latinjak; Viswanath Unnithan
Journal:  J Hum Kinet       Date:  2016-10-15       Impact factor: 2.193

5.  Epidemiology of Navicular Injury at the NFL Combine and Their Impact on an Athlete's Prospective NFL Career.

Authors:  Bryan Vopat; Brendin R Beaulieu-Jones; Gregory Waryasz; Kevin J McHale; George Sanchez; Catherine A Logan; James M Whalen; Christopher W DiGiovanni; Matthew T Provencher
Journal:  Orthop J Sports Med       Date:  2017-08-18

6.  Profiling of Junior College Football Players and Differences between Position Groups.

Authors:  Robert G Lockie; Adrina Lazar; Ashley J Orjalo; DeShaun L Davis; Matthew R Moreno; Fabrice G Risso; Matthew E Hank; Randal C Stone; Nicholas W Mosich
Journal:  Sports (Basel)       Date:  2016-08-05

7.  The Effects of Lateral Bounds on Post-Activation Potentiation of Change-of-Direction Speed Measured by the 505 Test in College-Aged Men and Women.

Authors:  Ashley J Orjalo; Robert G Lockie; Katherine Balfany; Samuel J Callaghan
Journal:  Sports (Basel)       Date:  2020-05-22

8.  Combine performance, draft position and playing position are poor predictors of player career outcomes in the Australian Football League.

Authors:  Benjamin J Gogos; Paul Larkin; Jade A Z Haycraft; Neil French Collier; Sam Robertson
Journal:  PLoS One       Date:  2020-06-17       Impact factor: 3.240

9.  The Athletic Intelligence Quotient and Performance Outcomes in Professional Baseball.

Authors:  James Kenneth Bowman; R Thomas Boone; Scott Goldman; Alex Auerbach
Journal:  Front Psychol       Date:  2021-06-24

10.  Physiological Characteristics of Projected Starters and Non-Starters in the Field Positions from a Division I Women's Soccer Team.

Authors:  Fabrice G Risso; Farzad Jalilvand; Ashley J Orjalo; Matthew R Moreno; Deshaun L Davis; Samantha A Birmingham-Babauta; John J Stokes; Alyssa A Stage; Tricia M Liu; Dominic V Giuliano; Adrina Lazar; Robert G Lockie
Journal:  Int J Exerc Sci       Date:  2017-07-01
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