What expected goals (xG) are and what they are used for
August 22, 2026 · 6 min
You hear commentators and analysts talk about xG, or expected goals, more and more. It sounds like a complicated statistic, but the idea behind it is very intuitive. Here at Golazo Scores we explain it without formulas, so the next time you see that figure you will know exactly what it is telling you.
The basic idea of xG
xG (short for 'expected goals') measures the quality of a scoring chance. Instead of simply counting whether a shot ended up as a goal or not, it tries to answer a different question: how likely was that shot to go in?
Every attempt is given a value between 0 and 1. A value of 0.1 means a chance like that is converted once in every ten attempts; a 0.9 means it almost always ends up in the net. If you add up the xG of all a team's shots in a match, you get how many goals it 'should' have scored based on the quality of its chances.
How it is calculated
The value of each chance is calculated by comparing it with thousands of previous shots taken in similar situations. Factors such as the distance from goal, the angle of the shot, whether it was struck with the foot or headed, and how the ball reached the shooter are all taken into account.
It is not an opinion: it is a statistical model fed by a huge amount of historical data. That is why a one-on-one with the goalkeeper has a high xG, while a long-range effort from a tight angle barely adds a few tenths.
What it is used for
xG helps you read a match beyond the scoreline. A team can lose 1-0 yet have generated a much higher xG than their opponents: that suggests they deserved more and that, over time, if they keep creating chances at that level, the goals will come.
It is also useful for assessing players. A striker who scores well above what their xG suggests is being very clinical or very lucky; if they score far below it, they may be missing clear-cut chances. It is one more tool for understanding real performance.
Its limits
xG is neither a crystal ball nor an absolute truth. It measures the quality of chances, but not the brilliance of an impossible finish, the pressure of the moment or the specific quality of the player taking the shot. A stunning strike from 30 metres will always have a very low xG, even if it was a work of art.
It is best used as one more data point, not as the only snapshot of the match. Combined with what you see on the pitch, xG enriches the analysis; used on its own, it can lead to simplistic conclusions.
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