IDEAS home Printed from https://ideas.repec.org/a/bpj/jqsprt/v5y2009i2n2.html
   My bibliography  Save this article

Optimizing Football Game Play Calling

Author

Listed:
  • Jordan Jeremy D

    (Air Force Research Laboratory)

  • Melouk Sharif H

    (The University of Alabama)

  • Perry Marcus B

    (The University of Alabama)

Abstract

Play calling strategies during football games are extremely important to the success of a team. In the past, coaches and players have subjectively determined the plays to call based on past experiences, personal biases, and various observable factors. This research quantifies these decisions using game theoretic techniques; updating optimal decision policies as new information becomes available during a game. A decision maker changes his perceived optimal strategy based on the information known about the opponent's strategy at the time of the decision. Additionally, utility theory is used to capture the different risk preferences of the decision makers. Furthermore, we use design of experiments and response surface methodology to optimize the risk strategies of each decision maker. By exploring the interaction of two football teams' risk preferences, optimal risk strategies can be suggested in the form of a varying mixed strategy. The techniques presented can be utilized in a precursory analysis to forecast different decisions a coach or player may encounter throughout the game, during a game to optimize each play called, or as a posterior analysis technique to dissect the decisions made and determine the effectiveness of the plays called. The procedures are easily transitioned to rapidly assist football teams or other sports teams in making better decisions through quantitative modeling and statistical analysis. A numerical example is presented to demonstrate the usefulness of the solution approach.

Suggested Citation

  • Jordan Jeremy D & Melouk Sharif H & Perry Marcus B, 2009. "Optimizing Football Game Play Calling," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 5(2), pages 1-34, May.
  • Handle: RePEc:bpj:jqsprt:v:5:y:2009:i:2:n:2
    as

    Download full text from publisher

    File URL: https://www.degruyter.com/view/j/jqas.2009.5.2/jqas.2009.5.2.1176/jqas.2009.5.2.1176.xml?format=INT
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.

    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. Sahi, S. & Shubik, M., 1988. "A model of a sudden-death field-goal football game as a sequential duel," Mathematical Social Sciences, Elsevier, vol. 15(3), pages 205-215, June.
    2. Alamar Benjamin C, 2006. "The Passing Premium Puzzle," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 2(4), pages 1-10, October.
    3. Mikhael Shor, 2003. "Game Theory .net," The Journal of Economic Education, Taylor & Francis Journals, vol. 34(4), pages 388-388, December.
    Full references (including those not matched with items on IDEAS)

    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:5:y:2009:i:2:n:2. See general information about how to correct material in RePEc.

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

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.