IDEAS home Printed from https://ideas.repec.org/a/bpj/jqsprt/v10y2014i3p14n1.html
   My bibliography  Save this article

Life on the bubble: Who’s in and who’s out of March Madness?

Author

Listed:
  • Leman Scotland C.

    (Virginia Tech – Statisitics, Blacksburg, VA 24061, USA)

  • House Leanna

    (Virginia Tech – Statisitics, Blacksburg, VA 24061, USA)

  • Szarka John

    (Virginia Tech – Statisitics, Blacksburg, VA 24061, USA)

  • Nelson Hayley

    (Virginia Tech – Statisitics, Blacksburg, VA 24061, USA)

Abstract

Yearly, the top National Collegiate Athletic Association (NCAA), Division I, men’s basketball teams compete for the national championship, in what is commonly referred to as “March Madness.” Teams are eligible for the tournament when they either win their conference tournament or are invited by a NCAA selection committee. Various factors influence the committee’s decision. Of primary importance is the perceived strength of a team; however, the possible measures used to assess a team’s strength can vary widely. These metrics are of particular interest for teams on the borderline or “on the bubble” of tournament inclusion. Using historical data, we assess which metrics play the most substantial roles in predicting tournament inclusion. Additionally, we determine guidelines for constructing a team’s schedule that are based on these metrics to enhance the chance of being selected for the tournament.

Suggested Citation

  • Leman Scotland C. & House Leanna & Szarka John & Nelson Hayley, 2014. "Life on the bubble: Who’s in and who’s out of March Madness?," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 10(3), pages 315-328, September.
    • Handle: RePEc:bpj:jqsprt:v:10:y:2014:i:3:p:14:n:1
    DOI: 10.1515/jqas-2013-0080
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/jqas-2013-0080
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.
    File URL: https://libkey.io/10.1515/jqas-2013-0080?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. Brown Mark & Sokol Joel, 2010. "An Improved LRMC Method for NCAA Basketball Prediction," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 6(3), pages 1-23, July.
    2. Cassey Lee, 2007. "A Cheap Ticket to the Dance: Systematic Bias in College Basketball's Ratings Percentage Index," Economics Bulletin, AccessEcon, vol. 4(34), pages 1-7.
    3. Harville D.A., 2003. "The Selection or Seeding of College Basketball or Football Teams for Postseason Competition," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 17-27, January.
    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. Stekler Herman O. & Klein Andrew, 2012. "Predicting the Outcomes of NCAA Basketball Championship Games," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 8(1), pages 1-10, March.
    2. repec:ebl:ecbull:v:4:y:2007:i:34:p:1-7 is not listed on IDEAS
    3. Grimshaw Scott D. & Sabin R. Paul & Willes Keith M., 2013. "Analysis of the NCAA Men’s Final Four TV audience," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 9(2), pages 115-126, June.
    4. Franceschet Massimo & Bozzo Enrico & Vidoni Paolo, 2017. "The temporalized Massey’s method," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 13(2), pages 37-48, June.
    5. Zimmer Timothy & Kuethe Todd H, 2009. "Testing for Bias and Manipulation in the National Basketball Association Playoffs," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 5(3), pages 1-13, July.
    6. Manner Hans, 2016. "Modeling and forecasting the outcomes of NBA basketball games," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 12(1), pages 31-41, March.
    7. repec:ebl:ecbull:v:12:y:2008:i:17:p:1-6 is not listed on IDEAS
    8. Fearnhead Paul & Taylor Benjamin Matthew, 2011. "On Estimating the Ability of NBA Players," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(3), pages 1-18, July.
    9. Phillips Andrew J. K., 2014. "Uncovering Formula One driver performances from 1950 to 2013 by adjusting for team and competition effects," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 10(2), pages 261-278, June.
    10. Coleman Jay & Lynch Allen K, 2009. "NCAA Tournament Games: The Real Nitty-Gritty," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 5(3), pages 1-27, July.
    11. B. Jay Coleman & J. Michael DuMond & Allen K. Lynch, 2010. "Evidence of bias in NCAA tournament selection and seeding," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 31(7), pages 431-452.

    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:10:y:2014:i:3:p:14: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.