A Deep Learning Approach to Predict Football Match Result

Predicting a match result is a very challenging task and has its own features. Automatic prediction of a football match result is extensively studied in last two decades and provided the probabilities of outcomes of a scheduled match. In this paper we proposed a deep neural network based model to automatically predict result of a football match. The model is trained on selective features and evaluated through experiment results. We compared our proposed approach with the performance of feature-based classical machine learning algorithms. We also reported the challenges and situations where proposed system could not predict the outcome of a match.