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Ligue – result prediction using machine learning
R. Saw, A. Dhanuka, S.S. Das, ,
Published in Institute of Advanced Scientific Research, Inc.
Volume: 12
Issue: 5 Special Issue
Pages: 788 - 794
In current world, craze for sports among the people is increasing exponentially. According to recent survey, FIFA world cup 2018 reached a total viewership of around 3.572 billion [1] that accounts to nearly half the world population. Forecasting of football match results is of extraordinary enthusiasm to fans and sports press particularly to cover audience. Over the most recent years, it has been the focal point of a few investigations. In this paper, an intelligent prediction methodology is proposed to anticipate the conclusive outcome of football matches using Multi-layer perceptron, Support vector machine and Adaboost algorithms. Past results, Home and Away team, Average Position, Odds of team winning, average quality of each side are used as major features for predicting the results. The procedure was validated using the results of 2018-2019 Ligue 1 matches and is lively tested for 2019-2020 Ligue 1 matches. The outcomes acquired utilizing this model had a genuinely decent precision. © 2020, Institute of Advanced Scientific Research, Inc. All rights reserved.
About the journal
JournalJournal of Advanced Research in Dynamical and Control Systems
PublisherInstitute of Advanced Scientific Research, Inc.