Football Match Prediction Using Players Attributes

Analysis of results of sport matches has always been a hot topic for both data analysts and general public. Modern methods for processing data, in combination with strong computational power of computers, allow us to predict the results of the next matches by applying machine learning algorithms on collected data. This paper suggests innovative approach of processing input data to predict results from input features based on players of the match with limited information about match history itself. Such a model could be used to find optimal players based on their attributes for the specific match or team.