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Compare Football League xG Trends Over Time

Export monthly home and away goals and expected-goals averages across Understat leagues and years for longitudinal football trend analysis.

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Understat xG Scraper – Football Data & Analytics
Understat xG Scraper – Football Data & Analyticsdatascraperes/understat-football-data
League
League ID
Year
Month
+6 fields
Text
Number
Boolean
List
Object

Input

1. What report do you want?:global_trends
5. Maximum rows to save and charge:1000

Output fields

League
League ID
Year
Month
Matches
Home goals per match
Away goals per match
Home xG per match
Away xG per match
Source URL

How it works

Sign up on Apify or log in

The Understat xG Scraper – Football Data & Analytics Actor is ready to run with the inputs already set for "Compare Football League xG Trends Over Time". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Compare Football League xG Trends Over Time" task

The Understat xG Scraper – Football Data & Analytics Actor will start running based on the input automatically. You can also change all the input fields, like 1. what report do you want? and 5. maximum rows to save and charge, to match your specific use case.

Receive the "Compare Football League xG Trends Over Time" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as league, league id, year, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Compare Football League xG Trends Over Time" task via API.

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