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Game Theory, Machine Learning, and Production in Sports:The Fair-Credit Baseball Statistics

Author

Listed:
  • Michael McBride

    (University of California, Irvine, USA)

Abstract

In this groundbreaking book, economist and game theorist Michael McBride presents an innovative answer to this question for the sport of baseball: "How is individual performance fairly measured when success depends on teamwork?" The answer is — the Fair-Credit Baseball statistics.

Suggested Citation

  • Michael McBride, 2026. "Game Theory, Machine Learning, and Production in Sports:The Fair-Credit Baseball Statistics," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 14544.
    • Handle: RePEc:wsi:wsbook:14544
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    File URL: https://www.worldscientific.com/worldscibooks/10.1142/14544
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    JEL classification:

    • C71 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Cooperative Games
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • Z20 - Other Special Topics - - Sports Economics - - - General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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