ATP/WTA Tennis

Linda Noskova vs Jessica Pegula Prediction

June 21, 2026

10,000 Monte Carlo simulations

Linda Noskova vs Jessica Pegula prediction for June 21, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Jessica Pegula 0 - Linda Noskova 0. Jessica Pegula is favored with a 53.8% win probability.

Jessica Pegula
1947
Hard Elo
VS Hard • WTA
Linda Noskova
1811
Hard Elo
Match Win Probability
53.8%
46.2%
Jessica PegulaLinda Noskova
Hard
Surface
WTA German Open
Tournament
10,000
Simulations
FINALLinda Noskova def Jessica Pegula (2–1)
Calibrated accuracy at this confidence: 51.1% (5,978 games)

Match Context

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

Surface Elo Ratings (Hard)

Linda Noskova
1811
Jessica Pegula
1947
Jessica Pegula leads by 136 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%

Linda Noskova SPW
58.8%
Above tour avg
Jessica Pegula SPW
58.6%
Above tour avg
● Serve statistics are nearly identical — expect a close match

Market Odds & Model Edge

Linda Noskova ML
+158
Model: 46%
Edge: +7.5%
Jessica Pegula ML
-175
Model: 54%
Edge: -9.9%
Model Projection
Linda Noskova ML +158 · +7.5% edge

Key Matchup Factors

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

Edge Analysis

Moneyline
Jessica Pegula 53.8%
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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 →

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