Prediction of the FIFA World Cup 2018 – A random forest approach with an emphasis on estimated team ability parameters

In this work, we compare three different modeling approaches for the scores of soccer matches with regard to their predictive performances based on all matches from the four previous FIFA World Cups 2002 – 2014: Poisson regression models, random forests and ranking methods.