Evidence map›Paper›PMID 40595041›Full record

ArticleScientific reports2025

Analysis of Z-Score and total score of athleticism on drafted and undrafted players from the NFL scouting combine.

Yifan Zhao, Xiaobin Wei, Kewei Zhao

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yifan ZhaoChina Institute of Sport Science, Beijing, China.
Xiaobin WeiSchool of Strength and Conditioning Training, Beijing Sport University, Beijing, China.
Kewei ZhaoChina Institute of Sport Science, Beijing, China. zhaokewei@ciss.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to evaluate the effectiveness of z-score and Total Score Athleticism (TSA) in distinguishing between drafted and undrafted NFL players, with a focus on different positional groups. We analyzed NFL Scouting Combine data (2000-2024) using z-score and TSA calculated for both the entire sample and specific positional groups (Skill player, big skill player and linemen), with a final sample of 3,446 players included after filtering. Examine the differences between drafted and undrafted players, as well as the differences among the three positional groups. The classification accuracy was evaluated by ROC analysis and binary logistic regression. Significant differences were observed in z-scores (P < 0.001) and TSA (P < 0.001) between drafted and undrafted players under the two calculation methods across all positions, with drafted players generally outperforming undrafted ones. ROC analysis indicated that all z-scores on NFL SC demonstrate good performance (AUC > 0.6, P < 0.001). Z-score for the 40-yard dash provided the highest AUC (0.637-0.719), while the bench press lowest (0.556-0.631). Position-specific z-score and TSA calculations showed better discriminatory performance compared to the calculation based on the overall sample. This study confirms that both z-scores and TSA are effective in differentiating drafted from undrafted players, with position-specific calculations offering enhanced discriminatory power. The results underscore the importance of tailoring athletic assessments to specific positional needs to improve talent identification. Coaches can understand how z-scores and TSA can be used on National Football League Scouting Combine, and these metrics perform across various positions.

Indexed as

AthletesAthletic PerformanceAdultHumansMaleROC CurveAmerican footballDraftNFLTotal score of athleticismZ-score

Identifiers

PMID40595041
PMCPMC12215770

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.