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NHL Division Winner Odds vs Kalshi

Prices the four NHL division winner races - Atlantic, Metropolitan, Central and Pacific - against Kalshi's live contracts. Each division is a mutually exclusive market, so the overround is stripped out before the model probability is compared to it. These markets are usually thin, so the task reports a probability and an edge and never sizes a position on them.

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NHL Playoff Odds API — Monte Carlo Simulator & Value Bets
NHL Playoff Odds API — Monte Carlo Simulator & Value Betscommodus67/nhl-playoff-odds-monte-carlo
Division
Team
Model division %
Market division %
+3 fields
Text
Number
Boolean
List
Object

Input

Also price the four division winner markets:true
Minimum edge to flag value:0.05
Monte Carlo iterations:20000

Output fields

Division
Team
Model division %
Market division %
Edge
Verdict
Contract

How it works

Sign up on Apify or log in

The NHL Playoff Odds API — Monte Carlo Simulator & Value Bets Actor is ready to run with the inputs already set for "NHL Division Winner Odds vs Kalshi". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "NHL Division Winner Odds vs Kalshi" task

The NHL Playoff Odds API — Monte Carlo Simulator & Value Bets Actor will start running based on the input automatically. You can also change all the input fields, like also price the four division winner markets, minimum edge to flag value, and more, to match your specific use case.

Receive the "NHL Division Winner Odds vs Kalshi" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as division, team, model division %, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "NHL Division Winner Odds vs Kalshi" task via API.

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