Leo Messi, in a party of this season with the Barça

A GLOBAL STATISTICS

Leo Messi is the best forward of the world, according to CIES

Published:21/05/2016 - 11:31h

Updated:21/05/2016 - 11:31h

The Observatory of Football CIES has published a statistical study of this season where the players of the FC Barcelona Leo Messi, Neymar Júnior and Luis Suárez surpass, with grow, to the forward of the Real Madrid Cristiano Ronaldo

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The University of Neuchatel, Switzerland, has published during the last hours a study of his Observatory of the Football with statistical data of this season 2015-2016, that is about to to conclude to level of clubs. An investigation that bases in six statistical keys -tactical discipline, recovery, distribution of the balloon, entrances, creativity and finish- and that plants to Leo Messi like better forward of the planet.

And it is that the best player of the world has the best numbers of all, as it was to expect. The rosarino leads a list where his némesis Christian Ronaldo appears in the sixth position. Ibrahimovic, Neymar Júnior, Luis Suárez and Paulo Dybala, in this order, surpass to an attacker of the Real Madrid that this season has not finish of rallar to his level expected, in spite of the goals annotated.

It goes back to remain clear why Leo Messi is the current Balloon of Gold 2015, and that his game has been of great importance for the FC Barcelona of face to achieve the League BBVA 2015-2016 and arrive to the final of the Glass of Rey, where will confront to the Seville FC next Sunday 22 May to the 21.30 hours.

But in addition to the position of attacker, the study also analyses the ones of goalkeeper, central defence, lateral, pivote, midfield player and mediapunta. In this last appears the only Spanish David Silva like the best in this demarcation. By behind his are Mesut Özil and Koke Resurrection, of the Athletic of Madrid. Sergio Busquets and Andrés Iniesta appear very delayed in the ránking, mainly because it does not treat of footballers that agglutinate along the campaign too many statistical data related with goals and assistances.

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