IDEAS home Printed from https://ideas.repec.org/a/bpj/jqsprt/v7y2011i4n13.html
   My bibliography  Save this article

An Estimate of How Hitting, Pitching, Fielding, and Basestealing Impact Team Winning Percentages in Baseball

Author

Listed:
  • Pavitt Charles

    (University of Delaware)

Abstract

Past research attempting estimates of the relative impact of hitting, pitching, fielding, and basestealing on team winning percentage in baseball has been marked by a number of problems, mostly in terms of poor choice of performance measures. The current analysis attempts to perform this task using readily available measures for the years 1951 through 1998. The analysis method is based on a conceptual decomposition of offense and defense into its component parts and then recombinations of the parts in intuitively meaningful ways. The findings imply that offense and defense have about the same impact on team performance than defense, the former is based almost totally on hitting, and the latter divided about equally between pitching and fielding. Division of the sample into time periods with low, medium, and high levels of offense did not substantially change these conclusions.

Suggested Citation

  • Pavitt Charles, 2011. "An Estimate of How Hitting, Pitching, Fielding, and Basestealing Impact Team Winning Percentages in Baseball," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(4), pages 1-20, October.
    • Handle: RePEc:bpj:jqsprt:v:7:y:2011:i:4:n:13
    DOI: 10.2202/1559-0410.1368
    as

    Download full text from publisher

    File URL: https://doi.org/10.2202/1559-0410.1368
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.
    File URL: https://libkey.io/10.2202/1559-0410.1368?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. Stimel Derek S, 2011. "Dependence Relationships between On Field Performance, Wins, and Payroll in Major League Baseball," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(2), pages 1-19, May.
    2. Miceli Nicholas S & Huber Alan D., 2009. "`If the Team Doesn't Win, Nobody Wins:' A Team-Level Analysis of Pay and Performance Relationships in Major League Baseball," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 5(2), pages 1-20, May.
    3. Lewis, Herbert F. & Lock, Kathleen A. & Sexton, Thomas R., 2009. "Organizational capability, efficiency, and effectiveness in Major League Baseball: 1901-2002," European Journal of Operational Research, Elsevier, vol. 197(2), pages 731-740, September.
    4. Charles E. Zech, 1981. "An Empirical Estimation of a Production Function: The Case of Major League Baseball," The American Economist, Sage Publications, vol. 25(2), pages 19-23, October.
    5. John Charles Bradbury, 2007. "Does the Baseball Labor Market Properly Value Pitchers?," Journal of Sports Economics, , vol. 8(6), pages 616-632, December.
    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. Benjamin Leard & Joanne M. Doyle, 2011. "The Effect of Home Advantage, Momentum, and Fighting on Winning in the National Hockey League," Journal of Sports Economics, , vol. 12(5), pages 538-560, October.
    2. Bodvarsson, Őrn B. & Papps, Kerry L. & Sessions, John G., 2014. "Cross-assignment discrimination in pay: A test case of major league baseball," Labour Economics, Elsevier, vol. 28(C), pages 84-95.
    3. Tony Caporale & Trevor Collier, 2015. "To Three or Not to Three?," Journal of Labor Research, Springer, vol. 36(1), pages 1-8, March.
    4. Wolfgang Maennig & Viktoria C. E. Schumann, 2022. "Prevention Effect of News Shocks in Anti-Doping Policies," Journal of Sports Economics, , vol. 23(4), pages 431-459, May.
    5. Mark D. Woolway, 1997. "Using an Empirically Estimated Production Function for Major League Baseball to Examine Worker Disincentives Associated with Multi-Year Contracts," The American Economist, Sage Publications, vol. 41(2), pages 77-83, October.
    6. James Alm & William H. Kaempfer & Edward Batte Sennoga, 2012. "Baseball Salaries and Income Taxes," Journal of Sports Economics, , vol. 13(6), pages 619-634, December.
    7. Fiona Carmichael & Giambattista Rossi & Denis Thomas, 2017. "Production, Efficiency, and Corruption in Italian Serie A Football," Journal of Sports Economics, , vol. 18(1), pages 34-57, January.
    8. Plácido Moreno & Sebastián Lozano, 2014. "A network DEA assessment of team efficiency in the NBA," Annals of Operations Research, Springer, vol. 214(1), pages 99-124, March.
    9. M. Mozaffari & J. Gerami & J. Jablonsky, 2014. "Relationship between DEA models without explicit inputs and DEA-R models," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 22(1), pages 1-12, March.
    10. Lozano, Sebastián, 2016. "Slacks-based inefficiency approach for general networks with bad outputs: An application to the banking sector," Omega, Elsevier, vol. 60(C), pages 73-84.
    11. Herbert F. Lewis & Thomas R. Sexton & Kathleen A. Lock, 2007. "Player Salaries, Organizational Efficiency, and Competitiveness in Major League Baseball," Journal of Sports Economics, , vol. 8(3), pages 266-294, June.
    12. Halkos, George & Tzeremes, Nickolaos, 2012. "Evaluating professional tennis players’ career performance: A Data Envelopment Analysis approach," MPRA Paper 41516, University Library of Munich, Germany.
    13. Robert Killins, 2017. "The impact of payroll allocation has on winning in major league baseball," Applied Economics Letters, Taylor & Francis Journals, vol. 24(16), pages 1189-1193, September.
    14. Thomas H. Bruggink, 1993. "National Pastime to Dismal Science: Using Baseball to Illustrate Economic Principles," Eastern Economic Journal, Eastern Economic Association, vol. 19(3), pages 275-294, Summer.
    15. G. Oliver Wagner V, 1987. "College and Professional Football Scores: A Multiple Regression Analysis," The American Economist, Sage Publications, vol. 31(1), pages 33-37, March.
    16. Hofler, Richard A. & Payne, James E., 1997. "Measuring efficiency in the National Basketball Association1," Economics Letters, Elsevier, vol. 55(2), pages 293-299, August.
    17. Jin Lee & Young Hoon Lee, 2021. "Development of a Win Production Function and Evaluation of Cross-Sectional Dependence," Journal of Sports Economics, , vol. 22(4), pages 412-431, May.
    18. Halkos, George & Tzeremes, Nickolaos, 2011. "A non-parametric analysis of the efficiency of the top European football clubs," MPRA Paper 31173, University Library of Munich, Germany.
    19. Srinivas K. Reddy & Antonie Stam & Per J. Agrell, 2015. "Brand Equity, Efficiency and Valuation of Professional Sports Franchises: The Case of Major League Baseball," International Journal of Business and Social Research, LAR Center Press, vol. 5(1), pages 63-89, January.
    20. John Charles Bradbury, 2013. "What Is Right With Scully Estimates of a Player’s Marginal Revenue Product," Journal of Sports Economics, , vol. 14(1), pages 87-96, February.

    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:7:y:2011:i:4:n:13. 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.