  In the light of the need to achieve a ranking which is understood by all
tennis supporters, the ATP ranking is exposed to constant complaints from
players and at the same time exposes new players to be benefited with a good
tournament to be able to start progressing in their careers. Moreover, the ATP
ranking is not powerful enough to predict with certainty who will be the winner
of a match if we are based solely on the positions. In order to combat these
problems, the idea of creating a new ranking that can indicate what are the
real chances of victory of a player before the start of a new tournament
arises. Based on the PageRank method, generated by Larry Page and Sergey Brin,
we created a new ranking that specifically uses the characteristics of the
tournament to generate data. Based on a history of 40,000 matches, we intend to
evaluate how the new method is performed as compared to other existing rankings
in order to analyze if we really achieved an improved and real reflection. Once
we have obtained the ranking, we intend to evaluate, taking a sample game, the
ranking of the players that dispute it and the characteristics of such game to
be able to indicate the precise probability for the player with better ranking
to win the game.
