NHL Playoff Odds API — Monte Carlo Simulator & Value Bets
Pricing
from $2.10 / 1,000 team projections
Replays every remaining NHL game thousands of times for playoff, division, wild card and Presidents' Trophy probabilities for all 32 teams, then prices them against live Kalshi contracts with fee-adjusted EV and Kelly sizing.
You can access the NHL Playoff Odds API — Monte Carlo Simulator & Value Bets programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "iterations": 20000,10 "regressionGames": 25,11 "pythagoreanWeight": 0.6,12 "homeIceAdvantage": 0.12,13 "strengthUncertainty": 0.1,14 "overtimeProbability": 0.23,15 "overtimeDamping": 0.5,16 "priorCarryover": 0.6,17 "minGamesPlayedForValue": 10,18 "edgeThreshold": 0.05,19 "bankroll": 1000,20 "maxPerPositionPct": 0.02,21 "maxTotalExposurePct": 0.06,22 "marketProbabilities": [],23}24
25# Run the Actor and wait for it to finish26run = client.actor("commodus67/nhl-playoff-odds-monte-carlo").call(run_input=run_input)27
28# Fetch and print Actor results from the run's dataset (if there are any)29print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")30for item in client.dataset(run.default_dataset_id).iterate_items():31 print(item)32
33# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use NHL Playoff Odds API — Monte Carlo Simulator & Value Bets API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: