Surviving a National Football League Survivor Pool

David Bergman () and Jason Imbrogno ()
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David Bergman: Department of Operations and Information Management, University of Connecticut, Stamford, Connecticut 06901
Jason Imbrogno: Department of Economics & Finance, University of North Alabama, Florence, Alabama 35632

Operations Research, 2017, vol. 65, issue 5, 1343-1354

Abstract: In this paper, an analytical approach to National Football League (NFL) survival pools is investigated. This paper introduces into the literature NFL survival pools and presents optimization models for determining strategies. Computational results indicate that planning only partway through the season yields the highest survival probabilities, which dominate millions of randomly generated strategies.

Keywords: sports analytics; NFL survival pools; programming; integer; applications; betting pools (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:65:y:2017:i:5:p:1343-1354

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