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Build an Arsenal season performance dataset

Export Arsenal matches, player aggregates, and tactical situation breakdowns for a repeatable season analysis workflow.

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Understat Football xG & Shot Data Scraper
Understat Football xG & Shot Data Scraperautomation-lab/understat-football-xg-shot-data
Record type
League
Season start year
Team
+11 fields
Text
Number
Boolean
List
Object

Input

Understat URLs
url:https://understat.com/team/Arsenal/2025
Record types:match+2
Maximum records:100

Output fields

Record type
League
Season start year
Team
Player
Match ID
Date or minute
Goals
Expected goals (xG)
Expected goals against (xGA)
Expected assists (xA)
Shots
Shot result
Source URL
Scraped at

How it works

Sign up on Apify or log in

The Understat Football xG & Shot Data Scraper Actor is ready to run with the inputs already set for "Build an Arsenal season performance dataset". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build an Arsenal season performance dataset" task

The Understat Football xG & Shot Data Scraper Actor will start running based on the input automatically. You can also change all the input fields, like understat urls, record types, and more, to match your specific use case.

Receive the "Build an Arsenal season performance dataset" 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 record type, league, season start 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 "Build an Arsenal season performance dataset" task via API.

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