The Expected Goals (xG) model is a statistical tool used to estimate the probability of a goal being scored from a given shot. This model takes into account various factors such as the location of the shot, the angle of the shot, and whether it was a header or not.
xG = Expected Goals
\(x_{dist}\) = Distance from goal
\(x_{angle}\) = Angle of shot
\(x_{header}\) = 1 if header, 0 otherwise
The coefficients \(\beta_0\), \(\beta_1\), \(\beta_2\), and \(\beta_3\) are determined through machine learning algorithms trained on historical football data. This model helps teams understand the quality of their shots and make strategic decisions.
Results are for informational purposes only and do not constitute professional advice.
