This work arises from a thesis proposal launched by the company Deltatre, whose objective is to extract through a Markov chain model key performance indicators of a team or a player from the data collection carried out on a football competition. Each match is modeled as a Markov chain with suitable states and transitions. The Markov chain theory is used to create the model, while other mathematical tools as chi-square distribution and confidence intervals are used to check the goodness of results. The creation of statistics is inspired by the expected threat theory introduced by Karun Singh. The data preprocessing begins with understanding the data available and those useful for analysis: the most important are the ball position and the player and the team in ball possession, but also other information is used, as the type of event and the phase of the match.