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What does it take to win or lose a soccer game? A machine learning approach to understand the impact of game and team statistics

  • Published:2022-08-18 Issue: Volume: Page:1-22
  • ISSN:0160-5682
  • Container-title:Journal of the Operational Research Society
  • language:en
  • Short-container-title:Journal of the Operational Research Society

Author:

Bai Lu1,Gedik Ridvan2,Egilmez Gokhan3

Affiliation:

1. Department of Mechanical and Industrial Engineering, University of New Haven, West Haven, CT, USA

2. Amazon Inc, Seattle, WA, USA

3. Department of Management, Plaster College of Business and Entrepreneurship, Lindenwood University, St. Charles, MO, USA

Publisher

Informa UK Limited

Subject

Marketing,Management Science and Operations Research,Strategy and Management,Management Information Systems

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A unified machine learning framework for basketball team roster construction: NBA and WNBA;Applied Soft Computing;2024-03

2. A new xG model for football analytics;Journal of the Operational Research Society;2024-02-28

3. Are EFI data valuable? Evidence from the 2022 FIFA World Cup group stage;Biology of Sport;2024

4. CAMP: A context-aware cricket players performance metric;Journal of the Operational Research Society;2023-07-25
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