IDEAS home Printed from https://ideas.repec.org/a/bpj/jqsprt/v4y2008i4n1.html
   My bibliography  Save this article

Shifting the 'Goal Posts': Optimizing the Allocation of Competition Points for Sporting Contests

Author

Listed:
  • Winchester Niven

    (University of Otago)

Abstract

Competition points are awarded in sports tournaments to determine which participants qualify for the playoffs or to identify a champion. We use competition points to measure strength in a prediction model and choose points to maximize prediction accuracy. This allows us to determine the allocation of competition points that most appropriately rewards strong teams. Our analysis focuses on Super Rugby, as the characteristics of this competition closely match our modelling assumptions. We find that the current allocation of competition points does not ensure that the strongest teams qualify for the playoffs and suggest an alternative. Our findings have implications for other competitions.

Suggested Citation

  • Winchester Niven, 2008. "Shifting the 'Goal Posts': Optimizing the Allocation of Competition Points for Sporting Contests," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 4(4), pages 1-17, October.
  • Handle: RePEc:bpj:jqsprt:v:4:y:2008:i:4:n:1
    DOI: 10.2202/1559-0410.1119
    as

    Download full text from publisher

    File URL: https://doi.org/10.2202/1559-0410.1119
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.

    File URL: https://libkey.io/10.2202/1559-0410.1119?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zuber, Richard A & Gandar, John M & Bowers, Benny D, 1985. "Beating the Spread: Testing the Efficiency of the Gambling Market for National Football League Games," Journal of Political Economy, University of Chicago Press, vol. 93(4), pages 800-806, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Scarf, Phil & Parma, Rishikesh & McHale, Ian, 2019. "On outcome uncertainty and scoring rates in sport: The case of international rugby union," European Journal of Operational Research, Elsevier, vol. 273(2), pages 721-730.
    2. Chater, Mario & Arrondel, Luc & Gayant, Jean-Pascal & Laslier, Jean-François, 2021. "Fixing match-fixing: Optimal schedules to promote competitiveness," European Journal of Operational Research, Elsevier, vol. 294(2), pages 673-683.
    3. Avila-Cano, Antonio & Owen, P. Dorian & Triguero-Ruiz, Francisco, 2023. "Measuring competitive balance in sports leagues that award bonus points, with an application to rugby union," European Journal of Operational Research, Elsevier, vol. 309(2), pages 939-952.
    4. Federico Fioravanti & Fernando Tohmé & Fernando Delbianco & Alejandro Neme, 2021. "Effort of rugby teams according to the bonus point system: a theoretical and empirical analysis," International Journal of Game Theory, Springer;Game Theory Society, vol. 50(2), pages 447-474, June.
    5. Niven Winchester & Raymond T. Stefani, 2009. "An innovative approach to National Football League standings using optimal bonus points," Working Papers 0905, University of Otago, Department of Economics, revised Jun 2009.
    6. Wright, Mike, 2014. "OR analysis of sporting rules – A survey," European Journal of Operational Research, Elsevier, vol. 232(1), pages 1-8.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kenneth H. Brown & Fred J. Abraham, 2002. "Testing Market Efficiency in the Major League Baseball Over-Under Betting Market," Journal of Sports Economics, , vol. 3(4), pages 311-319, November.
    2. Rodney Paul & Andrew Weinbach, 2012. "Sportsbook pricing and the behavioral biases of bettors in the NHL," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 36(1), pages 123-135, January.
    3. Klaassen, F.J.G.M. & Magnus, J.R., 2006. "Are Economic Agents Successful Optimizers? An Analysis Through Strategy in Tennis," Other publications TiSEM 73e12d86-8fe4-4a87-9181-7, Tilburg University, School of Economics and Management.
    4. Bryan Boulier & H. O. Stekler & Sarah Amundson, 2006. "Testing the efficiency of the National Football League betting market," Applied Economics, Taylor & Francis Journals, vol. 38(3), pages 279-284.
    5. Leighton Vaughan Williams & David Paton, 1997. "Does information efficiency require a perception of information inefficiency?," Applied Economics Letters, Taylor & Francis Journals, vol. 4(10), pages 615-617.
    6. Stekler, H.O. & Sendor, David & Verlander, Richard, 2010. "Issues in sports forecasting," International Journal of Forecasting, Elsevier, vol. 26(3), pages 606-621, July.
      • Herman O. Stekler & David Sendor & Richard Verlander, 2009. "Issues in Sports Forecasting," Working Papers 2009-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    7. Baker, Rose D. & McHale, Ian G., 2013. "Forecasting exact scores in National Football League games," International Journal of Forecasting, Elsevier, vol. 29(1), pages 122-130.
    8. Rodney Paul & Andrew Weinbach, 2011. "NFL bettor biases and price setting: further tests of the Levitt hypothesis of sportsbook behaviour," Applied Economics Letters, Taylor & Francis Journals, vol. 18(2), pages 193-197.
    9. Mr. Shekhar Aiyar & Mr. Rodney Ramcharan, 2010. "What Can International Cricket Teach Us About the Role of Luck in Labor Markets?," IMF Working Papers 2010/225, International Monetary Fund.
    10. Justin Cox & Adam L. Schwartz & Bonnie F. Van Ness & Robert A. Van Ness, 2021. "The Predictive Power of College Football Spreads: Regular Season Versus Bowl Games," Journal of Sports Economics, , vol. 22(3), pages 251-273, April.
    11. Jaiho Chung & Joon Ho Hwang, 2010. "An Empirical Examination of the Parimutuel Sports Lottery Market versus the Bookmaker Market," Southern Economic Journal, John Wiley & Sons, vol. 76(4), pages 884-905, April.
    12. Quitzau, Jörn & Vöpel, Henning, 2009. "Der Faktor Zufall im Fußball: Eine empirische Untersuchung für die Saison 2007/08," HWWI Research Papers 1-22, Hamburg Institute of International Economics (HWWI).
    13. Sebastian Bervoets & Bruno Decreuse & Mathieu Faure, 2014. "A Renewed Analysis of Cheating in Contests: Theory and Evidence from Recovery Doping," AMSE Working Papers 1441, Aix-Marseille School of Economics, France, revised Jun 2015.
    14. Rodney J Paul & Andrew Weinbach, 2012. "Wagering Preferences Of Nfl Bettors: Determinants Of Betting Volume," Journal of Prediction Markets, University of Buckingham Press, vol. 6(1), pages 42-55.
    15. Rodney J. Paul & Andrew P. Weinbach, 2013. "Baseball," Journal of Sports Economics, , vol. 14(2), pages 115-132, April.
    16. Kyle W. Hampton, 2007. "The Double‐Auction Gambling Market: An Experimental Examination," American Journal of Economics and Sociology, Wiley Blackwell, vol. 66(3), pages 493-532, July.
    17. Michael Sinkey & Trevon Logan, 2014. "Does the Hot Hand Drive the Market? Evidence from College Football Betting Markets," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 40(4), pages 583-603, September.
    18. Rodney J. Paul & Andrew P. Weinbach, 2009. "Sportsbook Behavior in the NCAA Football Betting Market: Tests of the Traditional and Levitt Models of Sportsbook Behavior," Journal of Prediction Markets, University of Buckingham Press, vol. 3(2), pages 21-37, August.
    19. David Peel & Dennis Thomas, 1997. "Handicaps, outcome uncertainty and attendance demand," Applied Economics Letters, Taylor & Francis Journals, vol. 4(9), pages 567-570.
    20. Rodney J. Paul & Andrew P. Weinbach, 2014. "Market Efficiency and Behavioral Biases in the WNBA Betting Market," IJFS, MDPI, vol. 2(2), pages 1-10, April.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bpj:jqsprt:v:4:y:2008:i:4:n:1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.