The calendar of the football season of the Russian Premier League, as well as other leading European championships, is designed in such a way that several matches can take place in one period of time. This situation has become more common after the pause associated with the COVID-19 pandemic, due to the match schedule densification. The broadcaster needs to determine which match will be live shown on the main channel. Also, he can provide access to all broadcasts of the championship round for paid channels and recommend the most spectacular matches for viewers to watch. The start time of the matches in the modern world is chosen by agreement of the League and television, so it would be really convenient to put potentially the most spectacular matches on prime time. This paper introduces the concept of the entertainment index, which takes into account goals and other important events of the match. The value of the entertainment index for upcoming matches is predicted using a machine learning model based on historical data. As the result, we have a model that can predict the entertainment of a match and help you to choose the most interesting game from the viewer's side. © 2021 Copyright for this paper by its authors.