Analysis and Parameterization of Sports Performance: A Case Study of Soccer

The importance of Big Data and the analysis of this data in recent years is indisputable, and this boom has spread to all areas of life, including professional sports and, within this, soccer. The significant amounts of money involved in this sport have led to the need for the top clubs to employ these techniques to gain a competitive advantage over their competitors. Despite this, there is very little information on how these tools are used or what parameters they consider. Similarly, there are a multitude of amateur analyses that offer very few conclusions. They simply focus on collecting and presenting the data in the form of a comparison without any analysis or pre-processing. This work describes the implementation of an expert system based on fuzzy logic used to evaluate the talent of a soccer player at all levels, his/her aptitude and attitude, to face his/her individual and collective professional development. For this purpose, the above aspects will be evaluated specifically in the different aspects of the game, which will allow us to evaluate the performance of a soccer team and thus determine the probability of victory, draw, and defeat in a confrontation.

Automated summary

The importance of big data and its analysis in the field of soccer is undeniable, as professional clubs seek to gain a competitive advantage by employing these techniques. However, there is limited information on the specific use of these tools and the parameters considered. In addition, amateur analyses often lack conclusive findings, focusing mainly on data collection and presentation without deeper analysis or preprocessing. This study presents the implementation of an expert system based on fuzzy logic to assess a soccer player's talent, aptitude, and attitude, aiding their individual and collective professional development.