xG (expected goals) is a statistic that rates the quality of every shot on goal and estimates how many goals a team should have scored given the chances it created.
If a match finishes 1-0 but the stats show xG 0.4 against 2.1, it means the winning side barely created any danger, while the losing side dominated the quality of chances without converting them. xG separates the scoreline from how deserved it was, which is exactly why it has become a standard metric in modern football analysis.
How xG is calculated
Every shot on goal is assigned a number between 0 and 1 — the probability that a goal is scored from that specific situation. The model is trained on tens of thousands of comparable shots from past matches and factors in:
- distance to goal and the angle available to the shooter;
- whether the shot is taken with the foot or the head;
- the type of pass that created the chance (cross, cutback, through ball, one-on-one);
- the position of defenders and the goalkeeper at the moment of the shot;
- whether the shot is a penalty — penalties get a fixed xG equal to the average conversion rate.
A team's match xG is simply the sum of the xG of every shot it took. A team that manages five shots from good positions inside the box can post a higher xG than an opponent who fires fifteen shots from distance under no pressure.
xG vs. shot count
Shot count says nothing about shot quality: a 25-metre effort under pressure and a tap-in from a cutback both count as one "shot" in the basic stats, but they look completely different in xG. That's why a team that shoots a lot from range often loses the xG battle to a team that shoots less often but from better positions. For more on reading shots, shots on target and corners together, see "How to Read Shots on Target and Corner Stats".
Why xG and the final score diverge
Football is a low-scoring sport, so randomness — a striker's finishing on the day, a goalkeeper's reflexes, a deflection — affects the scoreline more than in high-scoring sports like basketball. Over a single match, a team with lower xG can absolutely win through finishing or luck. Over a longer run — 10, 20, 30 matches — results tend to converge toward xG: teams that consistently create better chances win more often over time.
Where to find xG on xG.Football
Every finished match page has a "Match statistics" section showing "Expected goals (xG)" for both teams, broken down by full match and by half. To compare xG across a whole league season, open the competition tables and season statistics.
Using xG in football predictions
xG is one of the signals that lets you judge a team's underlying quality independently of the current league table. A team on a poor run of results but with a consistently high xG often turns its form around soon after — and vice versa. The xG.Football prediction model follows similar logic, combining points and goals with team form across several splits. See exactly how that works in "How the xG.Football Prediction Model Works", and check the model's real track record on the prediction statistics page.
Quick recap
| Question | Answer |
|---|---|
| What is xG | A quality score for a chance: the probability of scoring from a specific shot |
| What counts as a good xG | Above 1.5–2.0 per match usually means a team created plenty of good chances |
| Should you predict on xG alone | No — xG is one signal; it's most useful read alongside shots on target, form and head-to-head record |
| Where to find match xG | In the "Match statistics" section on every match page on xG.Football |
Ready-made outcome probabilities for upcoming games, with xG as one of their inputs, are collected in the football predictions section.