Expected

In this tutorial we're going to cover our Expected values. You can find all the types we cover on this page:

Expected

🎯 What is Expected Goals (xG)?

Expected Goals (xG) is an advanced metric that quantifies the quality of a scoring chance by evaluating multiple factors including shot location, angle, type of assist, and defensive pressure.

How xG relates to our data:

• Based on historical match statistics and shot outcomes

• Correlates with team and player performance metrics

• Powers prediction models and analysis

💡 Use case: Identify teams/players that are underperforming or overperforming relative to the quality of chances they create.

These are the topics we will cover:

EndpointsIncludesCoverage

Please note that the availability of xG values varies depending on the package you choose.

• The Basic package offers access straight after the match has finished to all xG statistics.

• The Advanced package offers real-time availability to all xG statistics.

You can find more information on our dedicated pricing page.

See also

Understanding xG data

• Statistics Tutorial - The data that informs xG calculations

• Fixture Statistics - Match-level performance data

• Player Statistics - Individual player xG metrics

Prerequisites

• Fixtures Tutorial - How to access fixture data

• Includes Tutorial - Using xGFixture and lineups.xGLineup includes

• Lineups Tutorial - Player lineups for xG by player

Related advanced metrics

• Trends Tutorial - xG trends over time

• Predictions - xG informs match predictions

• Standings - xPTS (Expected Points) tables

Building with xG

• Filter and Select - Filter by specific xG types

• Types Reference - All xG type IDs

API reference

• Expected Endpoints - API documentation