Cartola FC Data Analysis: A simulation, analysis, and visualization tool based on Cartola FC Fantasy Game

Abstract

The search for computational models based on the prediction of scenarios has attracted the attention of many researchers over the years. Within this context, Fantasy Games work as social media environments that mix real information on a virtual world, offering a challenging scenario. This work aims to explore this scenario by introducing a simulation, analysis, and visualization tool, based on the Fantasy Game -- Cartola FC. This tool automatically generates teams by using two distinct strategies based on statistical models for each tournament round, simulating an entire championship. From these theoretic models, we create a visualization tool to support user analysis. Lastly, we perform the planning of experiments to determine the influence of certain aspects of team's composition.