ATP/WTA Tennis

Rebecca Sramkova vs Caroline Werner Prediction

April 29, 2026

10,000 Monte Carlo simulations

Rebecca Sramkova vs Caroline Werner prediction for April 29, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Caroline Werner 0 - Rebecca Sramkova 0. Caroline Werner is favored with a 52.0% win probability.

Caroline Werner
1500
Hard Elo
VS Hard • WTA
Rebecca Sramkova
1500
Hard Elo
Match Win Probability
52.0%
48.0%
Caroline WernerRebecca Sramkova
Hard
Surface
La Bisbal d'Empordà
Tournament
10,000
Simulations
FINALCaroline Werner def Rebecca Sramkova (2–1)
Calibrated accuracy at this confidence: 58.4% (1,363 games)

Match Context

Tournament
La Bisbal d'Empordà
Surface
Hard
Format
Best of 3 · WTA

Surface Elo Ratings (Hard)

Rebecca Sramkova
1500
Caroline Werner
1500
Rebecca Sramkova leads by 0 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%

Rebecca Sramkova SPW
57.8%
Above tour avg
Caroline Werner SPW
57.7%
Above tour avg
● Serve statistics are nearly identical — expect a close match

Market Odds & Model Edge

Rebecca Sramkova ML
-550
Model: 48%
Edge: -36.6%
Caroline Werner ML
+350
Model: 52%
Edge: +29.8%
Model Projection
Caroline Werner ML +350 · +29.8% edge

Key Matchup Factors

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

Edge Analysis

Moneyline
Caroline Werner 52.0%
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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. Full methodology →

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