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Bibliographic Details
Main Author: Grandhisiri, Tanmay
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2504.07291
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author Grandhisiri, Tanmay
author_facet Grandhisiri, Tanmay
contents In the NFL draft, teams must strategically balance immediate player impact against long-term value, presenting a complex optimization challenge for draft capital management. This paper introduces a framework for evaluating the fairness and efficiency of draft pick trades using norm-based loss functions. Draft pick valuations are modelled by the Weibull distribution. Utilizing these valuation techniques, the research identifies key trade-offs between aggressive, immediate-impact strategies and conservative, risk-averse approaches. Ultimately, this framework serves as a valuable analytical tool for assessing NFL draft trade fairness and value distribution, aiding team decision-makers and enriching insights within the sports analytics community.
format Preprint
id arxiv_https___arxiv_org_abs_2504_07291
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle NFL Draft Modelling: Loss Functional Analysis
Grandhisiri, Tanmay
Applications
Methodology
In the NFL draft, teams must strategically balance immediate player impact against long-term value, presenting a complex optimization challenge for draft capital management. This paper introduces a framework for evaluating the fairness and efficiency of draft pick trades using norm-based loss functions. Draft pick valuations are modelled by the Weibull distribution. Utilizing these valuation techniques, the research identifies key trade-offs between aggressive, immediate-impact strategies and conservative, risk-averse approaches. Ultimately, this framework serves as a valuable analytical tool for assessing NFL draft trade fairness and value distribution, aiding team decision-makers and enriching insights within the sports analytics community.
title NFL Draft Modelling: Loss Functional Analysis
topic Applications
Methodology
url https://arxiv.org/abs/2504.07291