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BRIEF RESEARCH REPORT article

Front. Sports Act. Living

Sec. Sports Management, Marketing, and Economics

Volume 7 - 2025 | doi: 10.3389/fspor.2025.1628223

This article is part of the Research TopicEvolving Economies in Sports: Management Practices and Market ImpactsView all 4 articles

NFL DRAFT PICK 1 Redefining the Draft Pick Valuation in the National Football League

Provisionally accepted
  • 1Temple University, Philadelphia, United States
  • 2Arcadia University, Glenside, United States
  • 3Department of Educational Leadership, Baylor University, Waco, United States
  • 4School of Health and Human Performance, Kean University, New Jersey, United States

The final, formatted version of the article will be published soon.

The National Football League (NFL) Draft plays a critical role in determining team compositions and enhancing the competitive balance within the league. This study examines the valuation dynamics of NFL Draft picks, contrasting traditional valuation paradigms like Jimmy Johnson's Pick Value Chart (PVC) to estimate the intrinsic value of draft selections. Utilizing metrics such as weighted approximate value (wAV), games played (GP), and seasons started (ST), we derived that late-round draft picks might be undervalued in the conventional PVC. Our regression results indicated that the final pick in the first round holds a value closer to 56% of the first pick's worth, contrasting sharply with PVC's 20%. Our refined model suggested that the value of a pick 200 is about 30 times more than what PVC projects. We incorporate round-specific "Traded Up" dummy variables into our player-level regression models to test whether trade-up selections yield better outcomes. Results reveal that early round trade-ups, particularly in Round 1, are associated with significantly lower player performance, suggesting inefficiencies driven by overconfidence. In contrast, trade-ups in Round 4 show a modest positive effect, while other rounds yield no consistent advantage. These findings indicate that teams may benefit more from accumulating late-round picks than from aggressively trading up early. This paper accentuates the need for NFL teams to integrate data-driven models for informed draft decisions, thereby deepening insights into NFL draft valuation.

Keywords: NFL, draft pick, pick value chart, Chart, Trade up

Received: 14 May 2025; Accepted: 22 Aug 2025.

Copyright: © 2025 Hadley, Kim, Magnusen and Kim. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Jun Woo Kim, Arcadia University, Glenside, United States

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