 This study evaluated the effectiveness and characteristics of three ranking methods when ranking European football teams. The methods included the Thurston method with ties, the analytic hierarchy process AHP with logarithmic least squares, and RankNet, a neural network-based approach. The rankings were compared with official national rankings, as well as the UEFA Club coefficient rankings. Additionally, the correlation between the aggregated rankings and the transfer marked financial ranking was assessed. The results showed that the AHP with logarithmic least squares method outperformed the other two methods in terms of accuracy and consistency. Furthermore, the RankNet method outperformed the official national rankings and the UEFA Club coefficient rankings. Finally, the correlation between the aggregated rankings and the transfer marked financial ranking was found to be strong. This article was authored by Laszlo Jayarmati, Eva Orban Mihailiko, Chaba Mihailiko, and others. We are article.tv, links in the description below.