Our predictions are powered by an advanced machine learning model developed by the Scouting Stats AI team. The model processes multiple performance factors:
Performance Context
Analyzes both historical performance and recent form, considering home/away dynamics
Expected Goals (xG)
Uses opponent-adjusted xG metrics to evaluate attacking and defensive strength
Strength Ratings
Calculates team ratings based on performance against varying opponent qualities
The model adjusts performances based on opposition strength - for example, generating 1 xG away against a strong defensive team carries more weight than the same xG against weaker opposition.