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TACTICS GLOSSARY

Expected goals (xG)

Data & metrics

Understand expected goals (xg) in football: how to recognize it, read the diagram, avoid common mistakes, and test the idea.

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This content is awaiting editorial review. Diagrams and exercises are original and AI-assisted. Any real-world data is accompanied by sources and methods in the article.
In this hypothetical example, shots worth 0.10, 0.20, and 0.30 xG total 0.60 xG. That is a sum of expected values, not a 60% probability of scoring at least once.
Original FootballCap diagram · See the explanation below for the symbols.

Expected goals (xG) is a model’s estimate of the probability that a shot becomes a goal, based on features of the chance. It describes chance quality; it does not determine the outcome of an individual shot.

Reading the diagram

In this hypothetical example, shots worth 0.10, 0.20, and 0.30 xG total 0.60 xG. That is a sum of expected values, not a 60% probability of scoring at least once.

This original FootballCap illustration explains a calculation. The values are hypothetical and do not come from a match or player.

Common misconceptions

Providers may use different features and datasets. Do not treat values from different models as the same scale, or infer finishing skill from one game in which a team outperforms its xG.

Try it yourself

When reading an xG table, note the provider, time period, shot types, and whether penalties are included. Do not assign precise xG values from tactics-board positions.

Keep observations separate from explanations. Test tactical ideas on the tactics board. For metrics, establish the definition and data source before calculating.

References

Links for further reading; source images, videos, and data are not reproduced.

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