Analytics
xG (Expected Goals)
A Ballity concept guide — learn what it is, then spot it live.
What Is It?
In Simple Terms
Why Top Teams Use It
Two Ways to See It
Data Lens
From a data perspective, xG assigns a probability score (0-1) to each shot using machine learning models trained on extensive historical data, considering factors like shot location, body part used, assist type, and defensive pressure. Analysts track cumulative xG to assess a team's underlying chance creation and concession efficiency over time, regardless of whether those chances were converted.
Scout Lens
A scout instinctively evaluates shot quality by observing player positioning, defensive pressure, and the clarity of the shooting lane, recognizing which situations represent a genuine threat. They focus on how frequently a player or team generates opportunities in dangerous areas, such as cutbacks to the penalty spot or one-on-one situations, which align with high xG chances.
Example Teams / Players
Spot It During a Match