The aim of the thesis is to improve an already existing application used to forecast the best formation that a player (fantasy manager) can line up in the game of the fantasy football. The work has been done in collaboration with the startup Teamies. Teamies already had a fully working platform but the process on how they use to collect and manage the data was not so efficient and performing. So they wanted to create the same system but in a more reliable way. Moreover they also wanted to increase the precision of their forecasts finding the best parameters to use in their algorithm in order to better combine and weight players and teams statistics used to generate these forecasts.