Last updated: 3 October 2026
Reviewed by Jordan Morley, FA Level 2 Football Coach
Expected Goals (xG) assigns a probability (0-1) to each shot based on its characteristics. A penalty = 0.79 xG; a header from close range = ~0.68; a shot from 25 metres = ~0.03. Match totals reflect attack quality independent of finishing luck. Teams that consistently outperform their xG (score more than expected) typically regress over time. xG was popularised by analytics companies like StatsBomb and Opta and is now standard in professional scouting, broadcasting and football journalism.
- Probability of a shot being scored (0-1)
- Accounts for location, shot type, pressure
- Match xG reflects attack quality
- Over-/under-performance tends to regress
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xG has become central to modern football analysis because raw goal counts are heavily influenced by luck and finishing quality over a small sample — a team generating high-quality chances but finishing poorly will have a low goal tally but a high xG, and analysts use the gap between the two numbers to predict whether a team's results are likely to improve or regress.
FAQ
What factors go into calculating a shot's xG value?
Shot distance and angle, body part used, type of assist, defensive pressure and similar historical shot outcomes from a large dataset all feed into the probability model behind each shot's xG value.
Can a team have a low goal tally but a high xG?
Yes — this usually indicates the team is creating good chances but finishing poorly (or facing excellent goalkeeping), and analysts often expect their actual goal output to improve if the underlying chance creation continues.