ABSTRACT

The Federation Internationale de Football Association (FIFA) is a governing body of football (sometimes, especially in the USA, called soccer). FIFA is also a series of video games developed by EA Sports which faithfully reproduces the characteristics of real players. In this chapter, the authors use the data to build a predictive model for the evaluation of a player’s value. Subsequently, they use the model exploration and explanation methods to better understand the model’s performance, as well as which variables and how to influence a player’s value. The original dataset contains 89 variables that describe 16,924 players. The variables include information such as age, nationality, club, wage, etc. The authors take a closer look at four characteristics that will be considered as explanatory variables later in this chapter. These are: Age, Reactions (a movement skill), BallControl (a general skill), and Dribbling (a general skill).