xG Explained: How Expected Goals Models Predict Football Outcomes
Expected Goals (xG) is the most important football stat of the decade. Here is how the model works, where it fails, and how to use xG to find soft bookmaker lines.
What is Expected Goals (xG)?
xG assigns each shot a probability of becoming a goal based on shot location, angle, body part, assist type, and defensive pressure. Sum every shot in a match → expected goals for each side.
Why xG beats raw shots
A 30-yard hopeful effort and a 4-yard tap-in both count as one shot — but their xG values differ by 10×. xG is the closest public stat to true team strength.
Using xG to find bets
- Fade overperformers — teams scoring well above xG regress.
- Back underperformers — wasteful finishers eventually convert.
- Compare rolling xG diff to the next opponent's defensive xG conceded.
xG limitations
It ignores game state, doesn't model goalkeepers, and underweights set-piece specialists. Combine with form, lineups, and motivation.
Verdict
xG is the single best free signal in football betting. Pair it with MoBet's leaderboard CLV for an institutional-grade edge.
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