Football Match Result Prediction Using Neural Networks and Deep Learning

In the present world, the prediction of the results of football matches is being done by both football experts and machines. Football as a game produces a huge amount of statistical data about the players of the team, the matches played between the teams, the environment in which the match is being played. This statistical data can be exploited using various machine learning techniques to predict various information related to a particular football match namely the result of a particular game, injury of a player, performance of a player in a particular match, spotting new talents in the game etc. We in this project will attempt to design a prediction system powered by machine Recurrent Neural Networks and LSTMs.