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Record W2090738074 · doi:10.1519/jsc.0b013e3182610be2

Changes in the Athletic Profile of Elite College American Football Players

2012· article· en· W2090738074 on OpenAlexaff
Daniel Robbins, Tyler L. Goodale, Frank E. Kuzmits, Arthur J. Adams

Bibliographic record

VenueThe Journal of Strength and Conditioning Research · 2012
Typearticle
Languageen
FieldMedicine
TopicSports Performance and Training
Canadian institutionsCanadian Sport Centre Pacific
Fundersnot available
KeywordsVertical jumpMulti-stage fitness testAnthropometryLeagueBench pressAthletesFootballJumpDrillAmerican footballEliteFootball playersMathematicsPsychologyPhysical therapyMedicinePhysical fitnessEngineeringGeographyPolitical sciencePhysics

Abstract

fetched live from OpenAlex

The purpose of this study was to compare positional anthropometric and National Football League (NFL) Combine performance levels in elite college American football players over the 3-year period from 1999 to 2001 to the 3-year period from 2008 to 2010. The sample included 15 offensive and defensive positions, and only those players invited to the combine and subsequently drafted in the same year (n = 1,712) were included in the study. Data from 10 combine physical tests were examined, including weight; height; the 9.1-, 18.3-, and 36.6-m sprints; the vertical and horizontal jumps; the 18.3-m shuttle run; the 3-cone drill; and the 102.1-kg bench press for maximum repetitions. Independent samples t-tests detected differences for each of the 15 positions (p < 0.05). There were no discernible trends in height and weight over the period in question, whereas players in the more recent group significantly improved performance in straight sprinting, the 3-cone drill, and the horizontal jump. Findings suggest that these tests better reflect characteristics such as explosiveness and first-step quickness as compared with the 18.3-m shuttle and the vertical jump, and that such characteristics have become more highly sought after by NFL coaches and scouts. The results of the present research suggest that the position-specific profiles changed over a relatively short period of time. Coaches and practitioners will be able to use the findings of this research to better prepare athletes for entry into the NFL.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.203

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.049
GPT teacher head0.359
Teacher spread0.310 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations28
Published2012
Admission routes1
Has abstractyes

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