Uso de técnicas de aprendizado de máquina no auxílio em previsão de resultados de partidas de futebol.

Abstract

Football is one of the most popular sports in the world, the betting market in this sport is a multibillionaire industry and helping the prediction of a football match is not something easy, because there are many factors that influence it. For all these reasons, the prediction of football matches is an important research problem and the machine learning techniques usage is indicated. According to (MITCHELL, 1997), machine learning aghoritms are specially useful when there is a big database and hidden regularities can be found. In this context, this work goal is to develop a system that can help predicting the result of a football match, having as an output the match result with greater chances to occur. The methodoly defined to this work involved a bibliographic research to found related works, the analysis of these works to define the techniques, the attributes and the system validation, that was made comparing the real results with the predicted ones. To develop this system, statistical data from matches in the Premier League and hability data from players in the computer game Fifa were used. The techniques Random Forest, Support Vector Machine and Artificial Neural Networks were developed and the best result was 58.77% of accuracy in the match predictions.