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Track NBA Playoff Odds All Season in a Named Dataset

Runs the NBA playoff odds simulation, compares it with the live Kalshi playoff market, and appends every row to a named dataset in your account, which Apify keeps indefinitely instead of expiring it with the run. Put the task on a daily schedule and you build a season-long history of how each team's playoff, play-in and seed probabilities moved, which cannot be rebuilt afterwards.

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NBA Playoff Odds API — Monte Carlo Simulator & Value Bets
NBA Playoff Odds API — Monte Carlo Simulator & Value Betscommodus67/nba-playoff-odds-monte-carlo
Conference
Team
Projected wins
Playoff %
+3 fields
Text
Number
Boolean
List
Object

Input

Also archive to a named dataset:nba-playoff-odds-history
Compare against Kalshi:true
Monte Carlo iterations:20000

Output fields

Conference
Team
Projected wins
Playoff %
Top 6 %
Play-in %
Avg seed

How it works

Sign up on Apify or log in

The NBA Playoff Odds API — Monte Carlo Simulator & Value Bets Actor is ready to run with the inputs already set for "Track NBA Playoff Odds All Season in a Named Dataset". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Track NBA Playoff Odds All Season in a Named Dataset" task

The NBA 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 archive to a named dataset, compare against kalshi, and more, to match your specific use case.

Receive the "Track NBA Playoff Odds All Season in a Named Dataset" 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 conference, team, projected wins, 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 "Track NBA Playoff Odds All Season in a Named Dataset" task via API.

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