WORLD CUP 2014 - AN ANALYSIS OF THE PERFORMANCE OF PLAYERS

Since 1930, when the first football world championship was lunched it has increasingly attracted the audience and the teams from different countries made this event a great success of public in additional an important bussiness. Each four years one of the biggest expectations is the choice of selecting the best players of the competition, which it takes into account a set of subjective information, originating from the observation of the games thus such choices become subject to disputes as to the actual performance and contribution of each player to the team's success during the competition. One of the main difficulties to meet these challenges is the ability to consider statistical data of the players in each game, such as right and wrong passes, assists that generated submissions, tackles, crosses and more. In this work, seeking to fill that gap, multivariate statistical analyzes are presented: Cluster Analysis, Faces of Chernoff, K-means, multidimensional scaling, based on data collection matches of the FIFA 2014 World Cup held in Brazil. The results can be useful for analyzing the choices of the best athletes in a competition, identifying players clusters with similar characteristics game, discovery of patterns of play to assist in the decision-making process by the football coach.