# Premier League Title Odds

**Use case:** 

The Premier League table ordered by the probability of winning the title instead of by points, with every club's chance of the top four, European qualification and relegation alongside it. A Monte Carlo simulation replays every remaining fixture on the real calendar tens of thousands of times. Change the league field to run the same model on LaLiga, Serie A, the Bundesliga, Ligue 1 or any other su

## Input

```json
{
  "sport": "soccer",
  "league": "Premier League",
  "metric": "title",
  "limit": 20,
  "holdSeconds": 0
}
```

## Output

```json
{
  "rank": {
    "label": "Rank",
    "format": "integer"
  },
  "team": {
    "label": "Team",
    "format": "string"
  },
  "abbreviation": {
    "label": "Abbreviation",
    "format": "string"
  },
  "probabilities.playoff": {
    "label": "Playoffs",
    "format": "number"
  },
  "probabilities.division": {
    "label": "Division",
    "format": "number"
  },
  "probabilities.wildCard": {
    "label": "Wild card",
    "format": "number"
  },
  "probabilities.topSeed": {
    "label": "Top seed",
    "format": "number"
  },
  "probabilities.title": {
    "label": "Title",
    "format": "number"
  },
  "probabilities.top4": {
    "label": "Top four",
    "format": "number"
  },
  "probabilities.qualify": {
    "label": "Continental qualification",
    "format": "number"
  },
  "probabilities.relegation": {
    "label": "Relegation",
    "format": "number"
  }
}
```

## About this Actor

This example demonstrates how to use [Sports Probabilities MCP - NFL, MLB & Soccer Odds for AI Agents](https://apify.com/commodus67/sports-probabilities-mcp.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/commodus67/sports-probabilities-mcp.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/commodus67/sports-probabilities-mcp.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).