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<p>Motivated by a recent FIFPRO (the International Federation of Professional Footballers’ Associations) report on the adverse effects of international travel load and time-zone crossings on player performance and physical well-being, this paper develops an optimization framework to reduce the total distance traveled by national teams in the FIFA World Cup 2026. We propose a mixed integer programming model that minimizes the total internal distance traveled by the 48 teams in the group stage, subject to the structural constraints implied by FIFA’s official schedule. Computational results yield a feasible schedule that reduces total internal travel distance by 50% and decreases the total number of time-zone crossings by 83%. To encourage the use of operations research tools and techniques in scheduling sports events and to promote transparency, our code and results are publicly available on GitHub. An interactive interface is also provided for soccer fans to explore and compare travel distances and time-zone crossings across teams at <a href="https://igorlucindo.github.io/fifa-world-cup-2026-scheduler-APP/">https://igorlucindo.github.io/fifa-world-cup-2026-scheduler-APP/</a>.</p>

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Sport scheduling to minimize travels at the FIFA World Cup 2026

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年6月14日

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  • Rogelio Gutierrez,
  • Igor Cardoso,
  • Hamidreza Validi

摘要

Motivated by a recent FIFPRO (the International Federation of Professional Footballers’ Associations) report on the adverse effects of international travel load and time-zone crossings on player performance and physical well-being, this paper develops an optimization framework to reduce the total distance traveled by national teams in the FIFA World Cup 2026. We propose a mixed integer programming model that minimizes the total internal distance traveled by the 48 teams in the group stage, subject to the structural constraints implied by FIFA’s official schedule. Computational results yield a feasible schedule that reduces total internal travel distance by 50% and decreases the total number of time-zone crossings by 83%. To encourage the use of operations research tools and techniques in scheduling sports events and to promote transparency, our code and results are publicly available on GitHub. An interactive interface is also provided for soccer fans to explore and compare travel distances and time-zone crossings across teams at https://igorlucindo.github.io/fifa-world-cup-2026-scheduler-APP/.