IDEAS home Printed from https://ideas.repec.org/a/pal/jorsoc/v62y2011i7d10.1057_jors.2010.75.html
   My bibliography  Save this article

Rating non-elite tennis players using team doubles competition results

Author

Listed:
  • S R Clarke

    (Swinburne University of Technology)

Abstract

Statistical methods can be useful in rating non-elite tennis players. This paper shows how clubs can use simple optimization techniques to rate their club's players in doubles tennis competitions. Even though clubs lack all relevant information, the effects of home advantage, position played, partner and strength of team opposition can be taken into account and evaluated. The results from all competing clubs, available to the body organizing the competition, are used to rate all players in the competition, and validate the results that were obtained with limited information. We show a home ground advantage exists in non-elite doubles tennis. A simple exponential smoothing method of rating players is then tested, and shown to produce reasonable results.

Suggested Citation

  • S R Clarke, 2011. "Rating non-elite tennis players using team doubles competition results," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(7), pages 1385-1390, July.
  • Handle: RePEc:pal:jorsoc:v:62:y:2011:i:7:d:10.1057_jors.2010.75
    DOI: 10.1057/jors.2010.75
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/jors.2010.75
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/jors.2010.75?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. M B Wright, 2009. "50 years of OR in sport," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(1), pages 161-168, May.
    2. Raymond Stefani, 1997. "Survey of the major world sports rating systems," Journal of Applied Statistics, Taylor & Francis Journals, vol. 24(6), pages 635-646.
    Full references (including those not matched with items on IDEAS)

    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. Christoph Pott & Christoph Breuer & Michael ten Hompel, 2023. "Sport Logistics: Considerations on the Nexus of Logistics and Sport Management and Its Unique Features," Logistics, MDPI, vol. 7(3), pages 1-18, August.
    2. Bergantiños, Gustavo & Moreno-Ternero, Juan D., 2022. "Monotonicity in sharing the revenues from broadcasting sports leagues," European Journal of Operational Research, Elsevier, vol. 297(1), pages 338-346.
    3. Csató, László, 2023. "How to avoid uncompetitive games? The importance of tie-breaking rules," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1260-1269.
    4. Mustafa Oguz Afacan & Nejat Anbarci & Ozgur Kıbrıs, 2022. "Arbiter Assignment," Working Papers 2022_02, Durham University Business School.
    5. Michal Friesl & Jan Libich & Petr Stehlík, 2020. "Fixing ice hockey’s low scoring flip side? Just flip the sides," Annals of Operations Research, Springer, vol. 292(1), pages 27-45, September.
    6. Michal Friesl & Liam J. A. Lenten & Jan Libich & Petr Stehlík, 2017. "In search of goals: increasing ice hockey’s attractiveness by a sides swap," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(9), pages 1006-1018, September.
    7. Buraimo, Babatunde & Forrest, David & McHale, Ian G. & Tena, J.D., 2022. "Armchair fans: Modelling audience size for televised football matches," European Journal of Operational Research, Elsevier, vol. 298(2), pages 644-655.
    8. Halicioglu Ferda, 2009. "Research on the Prediction of the likely Winners of the Euro 2008 Football Tournament," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 5(3), pages 1-15, July.
    9. Yi, Xiajie & Goossens, Dries & Nobibon, Fabrice Talla, 2020. "Proactive and reactive strategies for football league timetabling," European Journal of Operational Research, Elsevier, vol. 282(2), pages 772-785.
    10. Csató, László, 2017. "European qualifiers to the 2018 FIFA World Cup can be manipulated," MPRA Paper 82652, University Library of Munich, Germany.
    11. Bargagliotti, Anna E., 2009. "Aggregation and decision making using ranked data," Mathematical Social Sciences, Elsevier, vol. 58(3), pages 354-366, November.
    12. Simona Mancini, 2018. "Assignment of swimmers to events in a multi-team meeting for team global performance optimization," Annals of Operations Research, Springer, vol. 264(1), pages 325-337, May.
    13. Stephan Nuesch & Egon Franck, 2009. "The Role of Patriotism in Explaining the TV Audience of National Team Games—Evidence From Four International Tournaments," Journal of Media Economics, Taylor & Francis Journals, vol. 22(1), pages 6-19.
    14. Mancini Simona & Isabello Andrea, 2014. "Fair referee assignment for the Italian soccer serieA," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 10(2), pages 153-160, June.
    15. Patrick Barrie, 2003. "A new sports ratings system: The tiddlywinks world ratings," Journal of Applied Statistics, Taylor & Francis Journals, vol. 30(4), pages 361-372.
    16. Leitner, Christoph & Zeileis, Achim & Hornik, Kurt, 2010. "Forecasting sports tournaments by ratings of (prob)abilities: A comparison for the EUROÂ 2008," International Journal of Forecasting, Elsevier, vol. 26(3), pages 471-481, July.
    17. Ferda HALICIOGLU, 2005. "Forecasting the Professional Team Sporting Events: Evidence from Euro 2000 and 2004 Football Tournaments," Industrial Organization 0508001, University Library of Munich, Germany.
    18. P Dawson & B Morley & D Paton & D Thomas, 2009. "To bat or not to bat: An examination of match outcomes in day-night limited overs cricket," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(12), pages 1786-1793, December.
    19. Kovalchik Stephanie Ann, 2016. "Is there a Pythagorean theorem for winning in tennis?," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 12(1), pages 43-49, March.
    20. Durán, Guillermo & Guajardo, Mario & Sauré, Denis, 2017. "Scheduling the South American Qualifiers to the 2018 FIFA World Cup by integer programming," European Journal of Operational Research, Elsevier, vol. 262(3), pages 1109-1115.

    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:pal:jorsoc:v:62:y:2011:i:7:d:10.1057_jors.2010.75. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.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.