# Export xG and shot data for one Understat match

**Use case:** 

Export match metadata and every public shot with xG, player, result, situation, body part, and pitch coordinates.

## Input

```json
{
  "startUrls": [
    {
      "url": "https://understat.com/match/27828"
    }
  ],
  "leagues": [
    "EPL"
  ],
  "seasons": [
    "2025"
  ],
  "recordTypes": [
    "match",
    "shot"
  ],
  "maxItems": 30
}
```

## Output

```json
{
  "recordType": {
    "label": "Record type",
    "format": "string"
  },
  "league": {
    "label": "League",
    "format": "string"
  },
  "season": {
    "label": "Season start year",
    "format": "integer"
  },
  "team": {
    "label": "Team",
    "format": "string"
  },
  "player": {
    "label": "Player",
    "format": "string"
  },
  "matchId": {
    "label": "Match ID",
    "format": "string"
  },
  "date": {
    "label": "Date or minute",
    "format": "string"
  },
  "goals": {
    "label": "Goals",
    "format": "number"
  },
  "xG": {
    "label": "Expected goals (xG)",
    "format": "number"
  },
  "xGA": {
    "label": "Expected goals against (xGA)",
    "format": "number"
  },
  "xA": {
    "label": "Expected assists (xA)",
    "format": "number"
  },
  "shots": {
    "label": "Shots",
    "format": "number"
  },
  "result": {
    "label": "Shot result",
    "format": "string"
  },
  "sourceUrl": {
    "label": "Source URL",
    "format": "string"
  },
  "scrapedAt": {
    "label": "Scraped at",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Understat Football xG & Shot Data Scraper](https://apify.com/automation-lab/understat-football-xg-shot-data.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/automation-lab/understat-football-xg-shot-data.md) to learn more, explore other use cases, and run it yourself.


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This Task's input is already configured above — use it as-is rather than inventing a new one.

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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/automation-lab/understat-football-xg-shot-data.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
