Using the Random Forest Algorithm to Predict the 2022 FIFA World Cup

Abstract

The FIFA 2022 World Cup was home to exciting upsets, devastating losses and unexpected results. FIFA rankings and past performance statistics were insufficient predictors for results, advancements and performances in the World Cup. In this project, machine learning algorithms and predictors beyond rankings and past performances will be used to predict the results of the Qatar 2022 World Cup. The FIFA ranking prediction method will serve as a baseline for accuracy. The two machine learning algorithms that will be considered for this project are Decision Trees and Random Forests, the latter of which can determine the validity of various parameters. It is the goal of this project to accurately predict the results of the 2022 Qatar World Cup and develop a sophisticated model that can be applied to future World Cups.