# MLB Playoff Odds Backtest 2025 Season

**Use case:** 

Replay the finished 2025 Major League Baseball season 20,000 times and see what the model gave every team: division, wild card, playoff and top-seed probabilities plus projected win totals. Score the model against what actually happened before you trust it on the current season.

## Input

```json
{
  "iterations": 20000,
  "season": 2025,
  "regressionGames": 70,
  "pythagoreanWeight": 0.6,
  "homeFieldAdvantage": 0.16,
  "strengthUncertainty": 0.1,
  "edgeThreshold": 0.05,
  "bankroll": 1000,
  "maxPerPositionPct": 0.02,
  "maxTotalExposurePct": 0.06,
  "marketProbabilities": []
}
```

## Output

```json
{
  "division": {
    "label": "Division",
    "format": "text"
  },
  "team": {
    "label": "Team",
    "format": "text"
  },
  "projectedWins": {
    "label": "Projected wins",
    "format": "number"
  },
  "fairDivisionProbability": {
    "label": "Division %",
    "format": "number"
  },
  "fairWildCardProbability": {
    "label": "Wild card %",
    "format": "number"
  },
  "fairPlayoffProbability": {
    "label": "Playoff %",
    "format": "number"
  }
}
```

## 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.


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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).
