# NBA Play-In Tournament Odds by Conference

**Use case:** 

Estimates the probability that each NBA team finishes seventh through tenth in its conference and enters the play-in tournament, which is a different question from making the playoffs: a top seed and a lottery team are both unlikely to be there. The result is priced against the two per-conference Kalshi play-in markets, which settle on exactly that band.

## Input

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

## Output

```json
{
  "conference": {
    "label": "Conference"
  },
  "team": {
    "label": "Team"
  },
  "projectedWins": {
    "label": "Projected wins"
  },
  "averageSeed": {
    "label": "Avg seed"
  },
  "fairTopSixProbability": {
    "label": "Top 6 %"
  },
  "fairPlayInProbability": {
    "label": "Play-in %"
  },
  "fairPlayoffProbability": {
    "label": "Playoff %"
  }
}
```

## 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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