The methodology first focused on analytics using Python to analyze data and present results in plots. Then, supervised machine learning methods were applied, with five practical models selected for classification. The results were satisfactory for most teams and players. A detailed analysis of shots by Messi and Suarez examined shot locations and conditions, also considering the tactics of their teams, Barcelona and Real Madrid. Only shots from Messi and Suarez were presented in the results.
Machine learning models initially showed limited effectiveness, but performance improved by adjusting model weights. Shots were classified as successful (Goal) or unsuccessful (No Goal) to identify patterns predicting goal likelihood based on shot velocity, angle, and goalkeeper distance
