Abstract
In this work, we draw attention to prediction of football (soccer) match winner. We propose the deep multilayer neural network based on elastic net regularization that predicts the winner of the English Premier League football matches. Our main interest is to predict the match result (win, loss or draw). In our experimental study, we prove that using open access limited data such as team shots, shots on target, yellow and red cards, etc. the system has a good prediction accuracy and profitability. The proposed approach should be considered as a basis of Oracle engine for predicting the match outcomes.
Highlights
The appearance and development of modern intelligent technologies promoted many branches of human activity to reach a qualitatively new level as well as achieve previously unthinkable results
We present the research outcomes in developing the oracle for forecasting the results of football matches
The approach to predict the results of sports competitions, which is based on a Deep Multilayer Neural Network with elastic net regularization and a possibility to be trained on a limited open access dataset, is proposed
Summary
The appearance and development of modern intelligent technologies promoted many branches of human activity to reach a qualitatively new level as well as achieve previously unthinkable results. A vivid example of the active evolution and integration of up-to-date technologies is modern sport. Sport involves more and more people, increases financial, material and intelligent flows and resources. All this enabled the sport to become an important political and economic component of the modern world. It is no secret that one of the most popular kind of sport – football (soccer), is a multi-billion international market with a very extensive infrastructure. The “Paris Saint-Germaine” football club bought a player Neymar from “Barcelona” for $260.9 million. According to Forbes rating, the total cost of the ten most expensive football clubs in 2017 is $23.29 billion
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