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A roster construction decision tool for MLS expansion teams

Author

Listed:
  • Smith Zachary J.

    (Department of Operations Research and Industrial Engineering, The University of Texas at Austin, Austin, TX, USA)

  • Bickel J. Eric

    (Department of Operations Research and Industrial Engineering, The University of Texas at Austin, Austin, TX, USA)

Abstract

We present a mathematical modeling framework for roster construction of a Major League Soccer (MLS) expansion team. The model seeks to construct the best squad feasible under league salary rules, while balancing present value, potential value, and future cap flexibility. Player acquisition decisions, as well as allocation of salary, targeted allocation money (TAM), general allocation money (GAM), and designated player slots, are determined simultaneously by a mixed-integer programming model. We demonstrate the model’s functionality in constructing a hypothetical expansion roster and propose a number of extensions.

Suggested Citation

  • Smith Zachary J. & Bickel J. Eric, 2023. "A roster construction decision tool for MLS expansion teams," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 19(1), pages 1-14, March.
    • Handle: RePEc:bpj:jqsprt:v:19:y:2023:i:1:p:1-14:n:2
    DOI: 10.1515/jqas-2021-0041
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    References listed on IDEAS

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    5. Van Bulck, David & Goossens, Dries & Schönberger, Jörn & Guajardo, Mario, 2020. "RobinX: A three-field classification and unified data format for round-robin sports timetabling," European Journal of Operational Research, Elsevier, vol. 280(2), pages 568-580.
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