Predicting the Outcome of a Tennis Tournament: Based on Both Data and Judgments

  • Wei Gu
  • Thomas L. SaatyEmail author


This paper is about predicting the outcome of tennis matches of the Association of Tennis Professionals (ATP) and the Women’s Tennis Association (WTA) using both data and judgments. There are many factors that influence that outcome. An important question is which factors have significant influence on the outcome. We have identified numerous factors and systematically prioritized them subjectively and objectively, so as to improve the accuracy of the prediction. We then used them to predict the win-lose outcome of the 2015 US OPEN tennis matches (63 men and 31 women’s games) before they took place. The tennis match prediction in sports literature thus far reported an accuracy rate of 70%.The accuracy of our proposed model which combines data and judgment reaches 85.1%


Prediction tennis data analysis judgment 


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Thiswork is supported by theNationalNatural Science Foundation of China (Grant Number 71702009, 71531013, 71729001) and Fundamental Research Funds for the Central Universities (FRF-BR-16-005A). Also, the authors sincerely thank the referees for their much practical help to improve the quality of this paper.


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Copyright information

© Systems Engineering Society of China and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Donlinks School of Economics and ManagementUniversity of Science and Technology BeijingBeijingChina
  2. 2.Distinguished University ProfessorUniversity of PittsburghPittsburghUnited States

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