# NBA Championship Odds from a Simulated Playoff Bracket

**Use case:** 

Simulates the NBA season 20,000 times, including the play-in tournament and all four best-of-seven playoff rounds, and returns each of the 30 teams' probability of reaching the conference finals, winning its conference and winning the NBA title. Ratings blend last season's point differential with the current record, so the odds move as games are played.

## Input

```json
{
  "iterations": 20000,
  "archiveToNamedDataset": "",
  "regressionGames": 20,
  "pythagoreanWeight": 0.65,
  "homeAdvantage": 0.32,
  "strengthUncertainty": 0.22,
  "priorCarryover": 0.6,
  "seasonLength": 82,
  "minGamesPlayedForValue": 10,
  "includeMarketComparison": false,
  "includePlayInMarkets": false,
  "includeChampionshipMarket": false,
  "edgeThreshold": 0.05,
  "feeRate": 0.07,
  "bankroll": 0,
  "maxPerPositionPct": 5,
  "maxTotalExposurePct": 25
}
```

## Output

```json
{
  "team": {
    "label": "Team"
  },
  "conference": {
    "label": "Conference"
  },
  "fairDivisionProbability": {
    "label": "Division %"
  },
  "fairBestRecordProbability": {
    "label": "Best record %"
  },
  "fairConferenceFinalsProbability": {
    "label": "Conf. finals %"
  },
  "fairConferenceProbability": {
    "label": "Conf. title %"
  },
  "fairChampionshipProbability": {
    "label": "Championship %"
  }
}
```

## About this Actor

This example demonstrates how to use [NBA Playoff Odds API — Monte Carlo Simulator & Value Bets](https://apify.com/commodus67/nba-playoff-odds-monte-carlo.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/commodus67/nba-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/nba-playoff-odds-monte-carlo.md

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