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How close to their offensive potential do national football league teams play?

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  • Richard Hofler
  • James Payne

Abstract

This paper presents preliminary results about how close to their offensive potential teams in the National Football League (NFL) play. Our study extends the work of previous researchers in several ways. First, we are the first to investigate the efficiency of professional football teams. Secondly, we utilize a panel data set covering the seasons 1989 to 1993 for all 28 NFL teams. Thirdly we estimate a frontir for the offensive teams. By estimating a stochastic production frontier model on a panel data set of NFL teams we find that many teams have played very close to their offensive potentials. For example, teams could have scored around one point more in each game than they actually did. This shows that these NFL teams are excellent, on average, at exploiting their talent - which seems reasonable.

Suggested Citation

  • Richard Hofler & James Payne, 1996. "How close to their offensive potential do national football league teams play?," Applied Economics Letters, Taylor & Francis Journals, vol. 3(11), pages 743-747.
    • Handle: RePEc:taf:apeclt:v:3:y:1996:i:11:p:743-747
    DOI: 10.1080/135048596355808
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    Cited by:

    1. KimMarie McGoldrick & Lisa Voeks, 2005. "“We Got Game!â€," Journal of Sports Economics, , vol. 6(1), pages 5-23, February.
    2. Kostas Kounetas, 2014. "Greek football clubs’ efficiency before and after Euro 2004 Victory: a bootstrap approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 22(4), pages 623-645, December.
    3. Carlos Pestana Barros & Nicolas Peypoch & Scott Tainsky, 2014. "Cost efficiency of French soccer league teams," Applied Economics, Taylor & Francis Journals, vol. 46(8), pages 781-789, March.
    4. Carlos Pestana Barros & Peter Wanke & Otávio Figueiredo, 2015. "The Brazilian Soccer Championship: an efficiency analysis," Applied Economics, Taylor & Francis Journals, vol. 47(9), pages 906-915, February.
    5. Carlos Pestana Barros & Gaël Bertrand & Laurent Botti & Scott Tainsky, 2014. "Cost efficiency of French rugby clubs," Applied Economics, Taylor & Francis Journals, vol. 46(23), pages 2721-2732, August.
    6. Boon L. Lee & Andrew C. Worthington, 2013. "A note on the ‘Linsanity’ of measuring the relative efficiency of National Basketball Association guards," Applied Economics, Taylor & Francis Journals, vol. 45(29), pages 4193-4202, October.
    7. Hofler, Richard A. & Payne, James E., 1997. "Measuring efficiency in the National Basketball Association1," Economics Letters, Elsevier, vol. 55(2), pages 293-299, August.
    8. Carlos Pestana Barros & Albert Assaf & Fabio Sá-Earp, 2010. "Brazilian Football League Technical Efficiency: A Simar and Wilson Approach," Journal of Sports Economics, , vol. 11(6), pages 641-651, December.
    9. Guido Ascari & Philippe Gagnepain, 2007. "Evaluating Rent Dissipation in the Spanish Football Industry," Journal of Sports Economics, , vol. 8(5), pages 468-490, October.
    10. Michael S. Rimler & Seongho Song & David T. Yi, 2010. "Estimating Production Efficiency in Men’s NCAA College Basketball: A Bayesian Approach," Journal of Sports Economics, , vol. 11(3), pages 287-315, June.
    11. Stephen A. Bergman & Trevon D. Logan, 2016. "The Effect of Recruit Quality on College Football Team Performance," Journal of Sports Economics, , vol. 17(6), pages 578-600, August.
    12. C. P. Barros & O. H. dos S. Figueiredo & Silvestre Dumbo, 2016. "A performance assessment of the Angolan soccer league," Applied Economics, Taylor & Francis Journals, vol. 48(29), pages 2711-2720, June.

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