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Fuzzy Study on the Winning Rate of Football Game Betting

Title
Fuzzy Study on the Winning Rate of Football Game Betting
Author
이우주
Keywords
winning rate prediction; ELO rating; fuzzy number; fuzzy partition; egression model
Issue Date
2021-05
Publisher
Taiwan Association of Engineering and Technology Innovation
Citation
Advances in Technology Innovation, v. 6, NO 3, Page. 169-178
Abstract
This study aims to find variables that affect the winning rate of the football team before a match. Qualitative variables such as venue, match importance, performance, and atmosphere of both teams are suggested to predict the outcome. Regression analysis is used to select proper variables. In this study, the performance of the football team is based on the opinions of experts, and the team atmosphere can be calculated with the results of the previous five games. ELO rating represents the state of the opponent. Also, the selected qualitative variables are expressed in fuzzy numbers using fuzzy partitions. A fuzzy regression model for the winning rate of the football team can be estimated by using the least squares method and the least absolute method. It is concluded that the stadium environment, ELO rating, team performance, and importance of the match have effects on the winning rate of Korean National Football (KNF) team from the data on 118 matches.
URI
https://ojs.imeti.org/index.php/AITI/article/view/6517https://repository.hanyang.ac.kr/handle/20.500.11754/172284
ISSN
2518-2994; 2415-0436
Appears in Collections:
COLLEGE OF SCIENCE AND CONVERGENCE TECHNOLOGY[E](과학기술융합대학) > APPLIED MATHEMATICS(응용수학과) > Articles
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