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NHL Draft Order Based on Mathematical Elimination

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  • Gold Adam M

    (Winning Unlimited, LLC)

Abstract

The NHL determines draft order from a lottery that favors teams that are lowest in the standings. Losing can help a franchise acquire a coveted prospect, which encourages fans to cheer against their favorite teams. Draft order based on mathematical elimination would force the teams that performed poorest into a highly competitive atmosphere. The teams that are eliminated earliest would instead have more games to earn the top picks. If substandard teams are to survive in mediocre markets, the injustice of incentives for losing must be eradicated.

Suggested Citation

  • Gold Adam M, 2010. "NHL Draft Order Based on Mathematical Elimination," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 6(1), pages 1-14, January.
    • Handle: RePEc:bpj:jqsprt:v:6:y:2010:i:1:n:6
    DOI: 10.2202/1559-0410.1203
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    Cited by:

    1. Jemuel Chandrakumaran, 2020. "How Did the AFL National Draft Mitigate Perverse Incentives?," Journal of Sports Economics, , vol. 21(2), pages 139-151, February.
    2. Fornwagner, Helena, 2019. "Incentives to lose revisited: The NHL and its tournament incentives," Journal of Economic Psychology, Elsevier, vol. 75(PB).
    3. Csató, László, 2022. "Quantifying incentive (in)compatibility: A case study from sports," European Journal of Operational Research, Elsevier, vol. 302(2), pages 717-726.
    4. Helena Fornwagner, 2017. "Incentives to lose revisited: The NHL and its tournament incentives," Working Papers 2017-07, Faculty of Economics and Statistics, Universität Innsbruck.
    5. Lenten, Liam J.A. & Smith, Aaron C.T. & Boys, Noel, 2018. "Evaluating an alternative draft pick allocation policy to reduce ‘tanking’ in the Australian Football League," European Journal of Operational Research, Elsevier, vol. 267(1), pages 315-320.
    6. Gold Adam M, 2011. "Never Too Late to Win," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(2), pages 1-18, May.

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