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ATP/WTA match-winner projections (all matches)

Runs the Monte Carlo model across both tours (ATP + WTA) and returns one row per player per match with the model's win probability, without the Kalshi market comparison. Good starting point to see raw model output.

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Tennis Match Winner Monte Carlo
Tennis Match Winner Monte Carlocommodus67/tennis-match-winner-monte-carlo
Tour
Tournament
Round
State
+8 fields
Text
Number
Boolean
List
Object

Input

Tour:both
Compare against Kalshi:false

Output fields

Tour
Tournament
Round
State
Player
Rank
Sets
Opponent
Opp. rank
Opp. sets
Win probability
Method

How it works

Sign up on Apify or log in

The Tennis Match Winner Monte Carlo Actor is ready to run with the inputs already set for "ATP/WTA match-winner projections (all matches)". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "ATP/WTA match-winner projections (all matches)" task

The Tennis Match Winner Monte Carlo Actor will start running based on the input automatically. You can also change all the input fields, like tour and compare against kalshi, to match your specific use case.

Receive the "ATP/WTA match-winner projections (all matches)" 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 tour, tournament, round, 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 "ATP/WTA match-winner projections (all matches)" task via API.

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