xG stands for “Expected Goals.” It is a metric representing the probability of a shot resulting in a goal, measured on a scale from 0 to 1.
xG allows for an analysis that goes beyond mere match scores or total shot counts, enabling an assessment of the quality of the scoring chances created by teams. This provides a more accurate evaluation of whether a team’s attack was truly effective, whether a player is generating high-quality scoring opportunities, and the extent to which the match result reflects the actual gameplay.
What is xG in Football?
The xG model calculates the probability of a scoring chance resulting in a goal by analyzing a vast number of similar shots from the past. Each shot is assigned a value between 0 and 1.
For instance, an xG value of 0.20 implies that, under similar conditions, approximately 20 out of 100 such shots would result in a goal. This value does not guarantee whether the specific shot will actually score; it simply indicates the statistical likelihood of the chance resulting in a goal.
Some basic examples can be interpreted as follows:
* 0.05 xG: A chance with a low probability of resulting in a goal
* 0.20 xG: A moderate-quality scoring opportunity
* 0.50 xG: A very clear scoring opportunity
* 0.76–0.79 xG: The approximate value of a penalty kick (which can vary depending on the data provider)
Summing the xG values of all shots taken by a team during a match yields the team’s total expected goals figure.
