ATP/WTA Tennis

Jan Choinski vs Jesper de Jong Prediction

July 21, 2026

10,000 Monte Carlo simulations

Jan Choinski vs Jesper de Jong prediction for July 21, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Jesper de Jong 0 - Jan Choinski 0. Jesper de Jong is favored with a 52.4% win probability.

Jesper de Jong
1543
Hard Elo
VS Hard • ATP
Jan Choinski
1444
Hard Elo
Match Win Probability
52.4%
47.5%
Jesper de JongJan Choinski
Hard
Surface
Estoril
Tournament
10,000
Simulations
Calibrated accuracy at this confidence: 50.2% (13,220 games)

Match Context

Tournament
Estoril
Surface
Hard
Format
Best of 3 · ATP

Surface Elo Ratings (Hard)

Jan Choinski
1444
Jesper de Jong
1543
Jesper de Jong leads by 99 Elo points on Hard

Serve & Return Analysis

Serve Points Won % (SPW) is the single most predictive metric in tennis. ATP average on Hard: 63.5%

Jan Choinski SPW
64.2%
Above tour avg
Jesper de Jong SPW
64.2%
Above tour avg
● Serve statistics are nearly identical — expect a close match

Odds & Edge

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Edge Analysis
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Key Matchup Factors

Surface Elo v1.0 · Barnett-Clarke serve model · 10,000 simulations · ATP

Model Edge & Sizing

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Edge Analysis

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Edge Analysis
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How this prediction was generated: This page shows output from the Olympus Bets ATP/WTA Tennis Monte Carlo engine. Each game is simulated 10,000 times using real-time team data, injury reports, and current odds. Probabilities are calibrated using Bayesian methods and sized via the Kelly Criterion. Probabilities are calibrated using Bayesian methods and sized via the Kelly Criterion. Full methodology →
Permanent record: this game page is retired 90 days after the event. The full graded Tennis 2026 record — every pick, win rate, units and ROI — lives on the Tennis 2026 season report card.

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