Fuzzy-Based Model for Predicting Football Match Results

Omomule T.G.¹ , Ibinuolapo A. J.² , Ajayi O.O.³

Section:Research Paper, Product Type: Journal-Paper
Vol.8 , Issue.1 , pp.70-80, Feb-2020

Online published on Feb 28, 2020

Copyright © Omomule T.G., Ibinuolapo A. J., Ajayi O.O. . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
Predicting the outcome of football matches has been an interesting challenge for which it is realistically impossible to successfully do so for several bettors and football fans across the world. Despite this, there are significant loss in financial resources expended on the correct prediction of football matches. This paper proposes a prediction model for football matches using Fuzzy Logic. In the proposed system, results of matches between two football teams are generated based on the providence of several parameters associated with every football team. Fuzzy Logic Gaussian Membership function (Gmf) technique is adopted for the computation of membership grade for each input parameter. Datasets were obtained from the twenty (20) football teams in the English Premier League, 2017/2018 Season and were used to test the system predictability. The proposed model was implemented using MATLAB version R2017. Evaluation results showed the practicability of the system to the prediction of football outcomes based on the consideration of many input parameters for higher prediction accuracy when compared to reported literatures.

Key-Words / Index Term :
Football, Betting, Prediction, Financial, Matches, Fuzzy Logic

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