# MLB Futures Bet Sizing with Quarter Kelly

**Use case:** 

Sizes MLB futures positions instead of just flagging them. Quarter-Kelly stakes on a 10,000 bankroll, capped at 3 percent per position and 9 percent across the whole book, so at most three bets fit. Swap in your own market prices and the output returns the stake, the uncapped Kelly fraction and a flag when the portfolio limit bites.

## Input

```json
{
  "iterations": 20000,
  "regressionGames": 70,
  "pythagoreanWeight": 0.6,
  "homeFieldAdvantage": 0.16,
  "strengthUncertainty": 0.1,
  "edgeThreshold": 0.03,
  "bankroll": 10000,
  "maxPerPositionPct": 0.03,
  "maxTotalExposurePct": 0.09,
  "marketProbabilities": [
    {
      "team": "New York Yankees",
      "market": "playoff",
      "impliedProbability": 0.92
    },
    {
      "team": "Houston Astros",
      "market": "division",
      "impliedProbability": 0.45
    }
  ]
}
```

## Output

```json
{
  "team": {
    "label": "Team",
    "format": "text"
  },
  "fairPlayoffProbability": {
    "label": "Model playoff %",
    "format": "number"
  },
  "marketPlayoffProbability": {
    "label": "Market playoff %",
    "format": "number"
  },
  "playoffEdge": {
    "label": "Playoff edge",
    "format": "number"
  },
  "estimatedFee": {
    "label": "Fee per contract",
    "format": "number"
  },
  "netEV": {
    "label": "Net EV",
    "format": "number"
  },
  "fairDivisionProbability": {
    "label": "Model division %",
    "format": "number"
  },
  "hasValue": {
    "label": "Value",
    "format": "boolean"
  },
  "recommendation": {
    "label": "Recommendation",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [MLB Playoff Odds API — Monte Carlo Simulator & Value Bets](https://apify.com/commodus67/mlb-playoff-odds-monte-carlo.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/commodus67/mlb-playoff-odds-monte-carlo.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

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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).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/commodus67/mlb-playoff-odds-monte-carlo.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).
