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Introduction to the Special Issue on Analytics in Sports, Part I: General Sports Applications

Author

Listed:
  • Michael J. Fry

    (Department of Operations, Business Analytics and Information Systems, University of Cincinnati, Cincinnati, Ohio 45221)

  • Jeffrey W. Ohlmann

    (Department of Management Sciences, University of Iowa, Iowa City, Iowa 52242)

Abstract

Sports is a rapidly growing application area for analytics. The use of analytics is pervasive in the professional sports community as evidenced by the increased role for those practicing sports analytics in front-office management and coaching. Part I of this Special Issue on Analytics in Sports is devoted to the application of a variety of methodologies to a broad range of sports. The papers analyze golf, hockey, baseball, motorcycle racing, and college football. The methodologies employed draw from many areas of analytics including optimization, probabilistic modeling, and choice models.

Suggested Citation

  • Michael J. Fry & Jeffrey W. Ohlmann, 2012. "Introduction to the Special Issue on Analytics in Sports, Part I: General Sports Applications," Interfaces, INFORMS, vol. 42(2), pages 105-108, April.
    • Handle: RePEc:inm:orinte:v:42:y:2012:i:2:p:105-108
    DOI: 10.1287/inte.1120.0633
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    References listed on IDEAS

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    1. Nicholas G. Hall & Chris N. Potts, 2012. "A Proposal for Redesign of the FedEx Cup Playoff Series on the PGA TOUR," Interfaces, INFORMS, vol. 42(2), pages 166-179, April.
    2. Javier Amorós & Laureano F. Escudero & Juan F. Monge & José V. Segura & Oscar Reinoso, 2012. "TEAM ASPAR Uses Binary Optimization to Obtain Optimal Gearbox Ratios in Motorcycle Racing," Interfaces, INFORMS, vol. 42(2), pages 191-198, April.
    3. Wayne DeSarbo & Robert Madrigal, 2012. "Exploring the Demand Aspects of Sports Consumption and Fan Avidity," Interfaces, INFORMS, vol. 42(2), pages 199-212, April.
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    5. Mark Broadie, 2012. "Assessing Golfer Performance on the PGA TOUR," Interfaces, INFORMS, vol. 42(2), pages 146-165, April.
    6. Noah Streib & Stephen J. Young & Joel Sokol, 2012. "A Major League Baseball Team Uses Operations Research to Improve Draft Preparation," Interfaces, INFORMS, vol. 42(2), pages 119-130, April.
    7. George R. Lindsey, 1963. "An Investigation of Strategies in Baseball," Operations Research, INFORMS, vol. 11(4), pages 477-501, August.
    8. Ronald D. Fricker, 2011. "Editorial: The Ninth Rothkopf Rankings of Universities' Contributions to the INFORMS Practice Literature," Interfaces, INFORMS, vol. 41(6), pages 590-598, December.
    9. Timothy C. Y. Chan & Justin A. Cho & David C. Novati, 2012. "Quantifying the Contribution of NHL Player Types to Team Performance," Interfaces, INFORMS, vol. 42(2), pages 131-145, April.
    10. B. Jay Coleman, 2012. "Identifying the “Players” in Sports Analytics Research," Interfaces, INFORMS, vol. 42(2), pages 109-118, April.
    11. Brian McClure & Richard Cassady & Chase Rainwater & Justin R. Chimka, 2012. "Optimizing the Sunday Singles Lineup for a Ryder Cup Captain," Interfaces, INFORMS, vol. 42(2), pages 180-190, April.
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    Cited by:

    1. Bruce A. Reinig & Ira Horowitz, 2018. "Using Mathematical Programming to Select and Seed Teams for the NCAA Tournament," Interfaces, INFORMS, vol. 48(3), pages 181-188, June.
    2. Oberhelman Dennis & Galbreth Michael & Fry Timothy, 2013. "Equitable handicapping of scramble golf tournaments," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 9(4), pages 285-300, December.
    3. Elitzur, Ramy, 2020. "Data analytics effects in major league baseball," Omega, Elsevier, vol. 90(C).
    4. Sean N Riley, 2017. "Investigating the multivariate nature of NHL player performance with structural equation modeling," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-29, September.
    5. Mulholland, Jason & Jensen, Shane T., 2019. "Optimizing the allocation of funds of an NFL team under the salary cap," International Journal of Forecasting, Elsevier, vol. 35(2), pages 767-775.

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