# Export a La Liga xG and Expected Points Table

**Use case:** 

Export a clean La Liga team table with results, points, xG, xGA, non-penalty metrics, expected points, PPDA, and deep completions from Understat.

## Input

```json
{
  "mode": "league",
  "league": "La_liga",
  "season": 2024,
  "target": "",
  "maxItems": 50,
  "includePlayers": false,
  "includeMatches": false,
  "includeShots": true,
  "includeBreakdowns": true,
  "includeRosters": true
}
```

## Output

```json
{
  "league": {
    "label": "League",
    "format": "string"
  },
  "season": {
    "label": "Season",
    "format": "integer"
  },
  "teamId": {
    "label": "Team ID",
    "format": "string"
  },
  "teamName": {
    "label": "Team",
    "format": "string"
  },
  "matches": {
    "label": "Matches",
    "format": "integer"
  },
  "wins": {
    "label": "Wins",
    "format": "integer"
  },
  "draws": {
    "label": "Draws",
    "format": "integer"
  },
  "losses": {
    "label": "Losses",
    "format": "integer"
  },
  "points": {
    "label": "Points",
    "format": "integer"
  },
  "goalsFor": {
    "label": "Goals for",
    "format": "integer"
  },
  "goalsAgainst": {
    "label": "Goals against",
    "format": "integer"
  },
  "xG": {
    "label": "Expected goals",
    "format": "number"
  },
  "xGA": {
    "label": "Expected goals against",
    "format": "number"
  },
  "nonPenaltyXG": {
    "label": "Non-penalty xG",
    "format": "number"
  },
  "nonPenaltyXGA": {
    "label": "Non-penalty xG against",
    "format": "number"
  },
  "xPoints": {
    "label": "Expected points",
    "format": "number"
  },
  "ppda": {
    "label": "PPDA",
    "format": "number"
  },
  "ppdaAllowed": {
    "label": "PPDA allowed",
    "format": "number"
  },
  "deepCompletions": {
    "label": "Deep completions",
    "format": "integer"
  },
  "deepAllowed": {
    "label": "Deep completions allowed",
    "format": "integer"
  },
  "sourceUrl": {
    "label": "Source URL",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Understat xG Scraper – Football Data & Analytics](https://apify.com/datascraperes/understat-football-data.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/datascraperes/understat-football-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/datascraperes/understat-football-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).
