Match outcomes prediction of six top English Premier League clubs via machine learning technique

The English Premier League (EPL) is one of the most widely covered league in the world. The prediction of football matches, particularly EPL has received due attention over the past two decades by means of both conventional statistical and machine learning approaches. More often than not, the predic...

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Main Authors:	Rabiu Muazu, Musa, Anwar, P. P. Abdul Majeed, Mohd Azraai, M. Razman, Mohd Ali Hanafiah, Shaharudin
Format:	Conference or Workshop Item
Language:	English English
Published:	Universiti Malaysia Pahang 2018
Subjects:	TJ Mechanical engineering and machinery TS Manufactures
Online Access:	http://umpir.ump.edu.my/id/eprint/24586/ http://umpir.ump.edu.my/id/eprint/24586/1/32.%20Match%20outcomes%20prediction%20of%20six%20top%20English.pdf http://umpir.ump.edu.my/id/eprint/24586/2/32.1%20Match%20outcomes%20prediction%20of%20six%20top%20English.pdf

id	ump-24586
recordtype	eprints
spelling	ump-245862019-03-27T07:09:01Z http://umpir.ump.edu.my/id/eprint/24586/ Match outcomes prediction of six top English Premier League clubs via machine learning technique Rabiu Muazu, Musa Anwar, P. P. Abdul Majeed Mohd Azraai, M. Razman Mohd Ali Hanafiah, Shaharudin TJ Mechanical engineering and machinery TS Manufactures The English Premier League (EPL) is one of the most widely covered league in the world. The prediction of football matches, particularly EPL has received due attention over the past two decades by means of both conventional statistical and machine learning approaches. More often than not, the predictions reported in the literature have rather been dissatisfactory in forecasting the outcome of the matches. This work offers a unique approach in predicting EPL match outcomes, i.e., win, lose or draw by considering top six teams in the league namely Manchester United, Manchester City, Liverpool, Arsenal, Chelsea and Tottenham Hotspur over the span of four consecutive seasons from 2013 to 2016. Fifteen features were selected based on their relevance to the game. Six different Support Vector Machine (SVM) model variations viz. linear, quadratic, cubic, fine radial basis function (RBF), medium RBF, as well as course RBF were developed to predict the match outcomes. A five-fold cross-validation technique was employed whilst, a separate fresh data was supplied to the best model developed in evaluating the predictive efficacy of the model. It was demonstrated from the study that the linear SVM model provided an excellent prediction accuracy of 100 % on both the trained as well as untrained data. Therefore, it could be concluded that the selection of the relevant features, as well as the methodology employed, could yield a reliable prediction of top six EPL clubs match outcomes. Universiti Malaysia Pahang 2018-12 Conference or Workshop Item NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24586/1/32.%20Match%20outcomes%20prediction%20of%20six%20top%20English.pdf pdf en http://umpir.ump.edu.my/id/eprint/24586/2/32.1%20Match%20outcomes%20prediction%20of%20six%20top%20English.pdf Rabiu Muazu, Musa and Anwar, P. P. Abdul Majeed and Mohd Azraai, M. Razman and Mohd Ali Hanafiah, Shaharudin (2018) Match outcomes prediction of six top English Premier League clubs via machine learning technique. In: The 6th International Conference On Robotics Intelligence And Applications 2018, 15-19 Disember 2018 , Putrajaya, Malaysia. pp. 1-10.. (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	TJ Mechanical engineering and machinery TS Manufactures
spellingShingle	TJ Mechanical engineering and machinery TS Manufactures Rabiu Muazu, Musa Anwar, P. P. Abdul Majeed Mohd Azraai, M. Razman Mohd Ali Hanafiah, Shaharudin Match outcomes prediction of six top English Premier League clubs via machine learning technique
description	The English Premier League (EPL) is one of the most widely covered league in the world. The prediction of football matches, particularly EPL has received due attention over the past two decades by means of both conventional statistical and machine learning approaches. More often than not, the predictions reported in the literature have rather been dissatisfactory in forecasting the outcome of the matches. This work offers a unique approach in predicting EPL match outcomes, i.e., win, lose or draw by considering top six teams in the league namely Manchester United, Manchester City, Liverpool, Arsenal, Chelsea and Tottenham Hotspur over the span of four consecutive seasons from 2013 to 2016. Fifteen features were selected based on their relevance to the game. Six different Support Vector Machine (SVM) model variations viz. linear, quadratic, cubic, fine radial basis function (RBF), medium RBF, as well as course RBF were developed to predict the match outcomes. A five-fold cross-validation technique was employed whilst, a separate fresh data was supplied to the best model developed in evaluating the predictive efficacy of the model. It was demonstrated from the study that the linear SVM model provided an excellent prediction accuracy of 100 % on both the trained as well as untrained data. Therefore, it could be concluded that the selection of the relevant features, as well as the methodology employed, could yield a reliable prediction of top six EPL clubs match outcomes.
format	Conference or Workshop Item
author	Rabiu Muazu, Musa Anwar, P. P. Abdul Majeed Mohd Azraai, M. Razman Mohd Ali Hanafiah, Shaharudin
author_facet	Rabiu Muazu, Musa Anwar, P. P. Abdul Majeed Mohd Azraai, M. Razman Mohd Ali Hanafiah, Shaharudin
author_sort	Rabiu Muazu, Musa
title	Match outcomes prediction of six top English Premier League clubs via machine learning technique
title_short	Match outcomes prediction of six top English Premier League clubs via machine learning technique
title_full	Match outcomes prediction of six top English Premier League clubs via machine learning technique
title_fullStr	Match outcomes prediction of six top English Premier League clubs via machine learning technique
title_full_unstemmed	Match outcomes prediction of six top English Premier League clubs via machine learning technique
title_sort	match outcomes prediction of six top english premier league clubs via machine learning technique
publisher	Universiti Malaysia Pahang
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/24586/ http://umpir.ump.edu.my/id/eprint/24586/1/32.%20Match%20outcomes%20prediction%20of%20six%20top%20English.pdf http://umpir.ump.edu.my/id/eprint/24586/2/32.1%20Match%20outcomes%20prediction%20of%20six%20top%20English.pdf
first_indexed	2023-09-18T22:37:18Z
last_indexed	2023-09-18T22:37:18Z
_version_	1777416680838791168

Match outcomes prediction of six top English Premier League clubs via machine learning technique

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