ATP/WTA Tennis

Jessica Pegula vs Coco Gauff Prediction

August 23, 2026

10,000 Monte Carlo simulations

Jessica Pegula vs Coco Gauff prediction for August 23, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Coco Gauff 0 - Jessica Pegula 0. Jessica Pegula is favored with a 56.4% win probability.

Coco Gauff
1982
Hard Elo
VS Hard • WTA
Jessica Pegula
1985
Hard Elo
Match Win Probability
43.6%
56.4%
Coco GauffJessica Pegula
Hard
Surface
WTA Cincinnati Open
Tournament
10,000
Simulations
Calibrated accuracy at this confidence: 53.0% (16,571 games)

Match Context

Tournament
WTA Cincinnati Open
Surface
Hard
Format
Best of 3 · WTA

Surface Elo Ratings (Hard)

Jessica Pegula
1985
Coco Gauff
1982
Jessica Pegula leads by 3 Elo points on Hard

Serve & Return Analysis

Serve Points Won % (SPW) is the single most predictive metric in tennis. WTA average on Hard: 56.5%

Jessica Pegula SPW
59.5%
Above tour avg
Coco Gauff SPW
57.7%
Above tour avg
● Jessica Pegula has a slight serve edge (+1.7%)

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 · WTA

Model Edge & Sizing

🔒The model's edge against the market, and the stake it sizes for this matchup, are premium.Unlock

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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