  One of the key problems in the field of soccer analytics is predicting how a
player performance changes when transitioning from one league to another. One
potential solution to address this issue lies in the evaluation of the
respective league strength.
  This article endeavors to compute club ratings of the first and second
European and South American leagues. In order to calculate these ratings, the
authors have designed the Glicko-2 rating system-based approach, which
overcomes some Glicko-2 limitations. Particularly, the authors took into
consideration the probability of the draw, the home-field advantage, and the
property of teams to become stronger or weaker following their league
transitions. Furthermore, authors have constructed a predictive model for
forecasting match results based on the number of goals scored in previous
matches. The metrics utilized in the analysis reveal that the Glicko-2 based
approach exhibits a marginally superior level of accuracy when compared to the
commonly used Poisson regression-based approach. In addition, Glicko-2 based
ratings offer greater interpretability and can find application in various
analytics tasks, such as predicting soccer player metrics for forthcoming
seasons or the detailed analysis of a player performance in preceding matches.
  The implementation of the approach is available on
github.com/andreyshelopugin/GlickoSoccer.
