Abstract

The following research paper is a literature review that I have pursued based on my interest in machine learning and the football. The paper explores the different types and variations of neural network systems used in the prediction of football matches and analyses the data available. Considering different factors such as input encoding, data types, training time and overall accuracy of the system, the paper tries to answer the question of ‘What neural network design factors influence the successful prediction of football match outcomes?’ The paper goes through and analyses specifically created data tables using a number of different papers in order to achieve this goal. The form of this paper is a literature review and provides an insight to what the future of predicting matches may be using machine learning and artificial neural networks.

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