Can NFL Combine Results be Used to Estimate NFL Defensive Players Longevity?

Pollock, Jordan R.; Doan, Matthew K.; Asprey, Walker; Dulle, Donald L.; Moore, Malcolm; Makovicka, Justin L.; Hassebrock, Jeffrey D.; Foley, Brittany M.; Chhabra, Anikar

doi:10.1055/a-1485-0031

Cited by 3 publications

(2 citation statements)

References 21 publications

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“…36,49 BMI itself appears to correlate with outcomes and injury risk, as has been postulated for the NFL roster status of linebackers and defensive linemen. 40,56 The current results affirm these findings, as low to moderate significant correlations were found between increased BMI and worse results in the assessments As expected, lower BMI (G2 and G3) was associated with better results in balance and agility, which is contrary to the power measurements. When calculating anaerobic peak performance according to Sayers, athletes from G1 showed significantly higher absolute values in anaerobic peak force development (p<0.05), but not with respect to body weight (power per kg).…”

Section: Functional Tests Reveal Major Deficits In Knee Capability Me...supporting

confidence: 88%

“…30 Power development itself is the most useful performance parameter in football: it is associated with the career longevity, a predictor for injury risk and the RTS capability. 40 As the BIA test battery was originally designed to discriminate athletes recovering from an ACL injury regarding their readiness to return to sport, this aspect may be particularly interesting. Regarding ACL injury, the quadriceps to hamstring ratio is an important indicator of function in ACL deficient knees.…”

Section: Discussionmentioning

confidence: 99%

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Evaluation of the Back-in-Action test Battery In Uninjured High School American Football Players

Rohde

Rühlemann

Busch

et al. 2023

International Journal of Sports Physical Therapy

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Background Return to sport testing is an established routine, especially for athletes who have ruptured their anterior cruciate ligament (ACL). Various tests are performed, often combined in test batteries, such as the Back-in-action (BIA) test battery. Unfortunately, pre-injury performance is often unknown, and only few athletes pass the high demands of these test batteries. Purpose The aim of the study was to determine the performance of under 18 American football players on the BIA to establish pre-injury sport specific benchmarks for future RTS testing and to compare these values to data from an age-matched reference group. Methods Fifty-three healthy male American football players underwent a functional assessment using the “Back-in-action” test battery evaluating agility, speed (Parkour-Jumps and Quick-Feet test), balance (using a PC based balance board), and power (Counter-Movement-Jump [CMJ]) as objective measures. Their results were compared with a previously tested reference group (RP) and within the american football players (AF) through three subgroups according to field playing position. Results Overall, the American football (AF) athletes showed lower balance scores for both legs (AF: 3.71/3.57/3.61; RP: 3.4/3.2/3.2; p<0.002) compared to the reference population (RP). CMJ height and Quick-Feet results were not statistically different (p>0.05), Parkour-Jump times (AF: 8.18/ 8.13 sec.; RP: 5.9/5.9sec.; p<0.001) were significantly slower. Power output in all CMJ’s (AF: 46.86/36.94/37.36 W/kg; RP: 43.2/29.5/29 W/kg; p<0.001) was significantly higher than the RP. Passing and running game involved players (G2 & G3) showed significantly better balance scores (G2+G3: 3.36/3.27/3.33; G1: 4.22/4.06/4.10; p<0.001), higher jump height (G2&G3: 38.87/24.02/24.96 cm; G1: 32.03/19.50/18.96 cm; p<0.001) and more watts/kg (G2&G3: 48.83/37.21/37.64 W/kg; G1: 43.95/36.88/36.53 W/kg; p<0.001) compared to blocking players like Linemen (G1) and to the age matched reference population (RP). Conclusion Only 53% of the healthy athletes would have been cleared for sport using the BIA test criteria, which highlights the challenging passing criteria. Despite significantly greater power measurements, scores of balance and agility were poorer compared to the reference group, especially for linemen. These data may serve as sport and position specific reference for high school American football players, instead of using the non-specific reference group data. Study design cross-sectional study- Level of evidence IIb

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Section: Functional Tests Reveal Major Deficits In Knee Capability Me...supporting

confidence: 88%

Section: Discussionmentioning

confidence: 99%

Evaluation of the Back-in-Action test Battery In Uninjured High School American Football Players

Rohde

Rühlemann

Busch

et al. 2023

International Journal of Sports Physical Therapy

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On the predictive validity of the National Football League combine: does it forecast future success?

Rishis,

Johnston,

Baker

2023

Journal of Sports Sciences

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A Comparative Analysis of the 2021 NFL Combine Data: The Relationship Between Linear Sprint, Momentum, Vertical and Horizontal Jumps and Change of Direction Deficit

Seidu,

Opoku-Antwi,

Dauda

2024

IJSSPE

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The majority of COD execution assessments employ the use of total time as the metric by which COD performance is judged. This study investigated the relationships between CODD time, sprint time, 5-10-5 and jump performance. Performance data of 328 participants of the 2021 NFL Combine (age: 22.35 ± 1.00 years; height: 1.87 ± 0.07m; weight: 108.51 ± 21.61kg) was collected and used for the analysis. CODD correlated to the 5- 10-5 pro-agility (r= 0.69 - 0.71) test but not sprint time (r= 0.15 - 0.27) for both the drafted and undrafted groups. Meanwhile, there was a large to very large association between 5-10-5 proagility time and the sprint variables (r = 0.62 - 0.82) for both drafted and undrafted groups. The correlation between CODD time and momentum was minor (r= 0.26 – 0.28) for both drafted and undrafted groups, but the 5-10-5 pro-agility reported a strong to a very strong association with momentum (r= 0.57 – 0.75). There was an inversely small correlation between CODD time and VJh (r= – 0.27) and BJ (r= -0.25– -0.28) for both drafted and undrafted groups whereas the 5-10-5 pro-agility time reported an inversely large to very large correlation with VJH (r= -0.51 – -0.68) and BJ (r= -0.57 – -0.71) on both groups. The magnitude and impact of the momentum, horizontal jump, and vertical jump of participants on their CODD time indicate that coaches and fitness experts should focus on improving the technical aspects of the COD execution when attempting to improve their CODS.

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Can NFL Combine Results be Used to Estimate NFL Defensive Players Longevity?

Cited by 3 publications

References 21 publications

Evaluation of the Back-in-Action test Battery In Uninjured High School American Football Players

Evaluation of the Back-in-Action test Battery In Uninjured High School American Football Players

On the predictive validity of the National Football League combine: does it forecast future success?

A Comparative Analysis of the 2021 NFL Combine Data: The Relationship Between Linear Sprint, Momentum, Vertical and Horizontal Jumps and Change of Direction Deficit

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