Data-driven understanding on soccer team tactics and ranking trends: Elo rating-based trends on European soccer leagues.

ABSTRACT: In modern soccer, strategy and tactics significantly impact team success. In this study, the application of these methodologies within the domain of association soccer is examined, with a particular focus on predicting team strategies via team trend analysis. Using a dataset comprising matches from the top five European soccer leagues, we analyzed team performance trends over time using the Elo rating system and rolling regression. Predicting strategies from soccer match datasets is a challenging. In our study, we propose methods based on count and rank to address these challenges. For the count-based method, the number of forwards, midfielders, and defenders is used to calculate respective defense and attack scores. For the rank-based method, teams are classified into various levels based

SUBMITTER: Jung DH 

PROVIDER: S-EPMC11798493 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature