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对美国国家橄榄球联盟(NFL)球探综合评估中被选中和未被选中球员的Z分数和运动能力总分进行分析。

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

作者信息

Zhao Yifan, Wei Xiaobin, Zhao Kewei

机构信息

China Institute of Sport Science, Beijing, China.

School of Strength and Conditioning Training, Beijing Sport University, Beijing, China.

出版信息

Sci Rep. 2025 Jul 1;15(1):21742. doi: 10.1038/s41598-025-07383-x.

DOI:10.1038/s41598-025-07383-x
PMID:40595041
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12215770/
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.

摘要

本研究旨在评估z分数和综合运动能力总分(TSA)在区分美国国家橄榄球联盟(NFL)选秀球员和未选秀球员方面的有效性,重点关注不同的位置组。我们分析了NFL联合试训数据(2000 - 2024年),计算了整个样本以及特定位置组(技能位置球员、大型技能位置球员和内线球员)的z分数和TSA,经过筛选后最终样本包括3446名球员。研究了选秀球员和未选秀球员之间的差异,以及三个位置组之间的差异。通过ROC分析和二元逻辑回归评估分类准确性。在两种计算方法下,所有位置的选秀球员和未选秀球员之间的z分数(P < 0.001)和TSA(P < 0.001)均存在显著差异,选秀球员总体表现优于未选秀球员。ROC分析表明,NFL联合试训中的所有z分数都表现良好(AUC > 0.6,P < 0.001)。40码冲刺的z分数提供了最高的AUC(0.637 - 0.719),而卧推的z分数最低(0.556 - 0.631)。与基于整个样本的计算相比,特定位置的z分数和TSA计算显示出更好的区分性能。本研究证实,z分数和TSA在区分选秀球员和未选秀球员方面都是有效的,特定位置的计算具有更强的区分能力。结果强调了根据特定位置需求定制运动评估以改善人才识别的重要性。教练们可以了解z分数和TSA如何在NFL联合试训中使用,以及这些指标在各个位置的表现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f108/12215770/9c08930e8637/41598_2025_7383_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f108/12215770/5031a07e3b50/41598_2025_7383_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f108/12215770/a417a85e684a/41598_2025_7383_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f108/12215770/9c08930e8637/41598_2025_7383_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f108/12215770/5031a07e3b50/41598_2025_7383_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f108/12215770/a417a85e684a/41598_2025_7383_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f108/12215770/9c08930e8637/41598_2025_7383_Fig3_HTML.jpg

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