Rebecca Sramkova vs Caroline Werner prediction for May 1, 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
Caroline WernerRebecca Sramkova
Hard
Surface
La Bisbal d'Empordà
Tournament
10,000
Simulations
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
Caroline Werner
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
- Players are closely matched (0-point Elo gap)
- Hard court provides a neutral surface — favors all-court players
- Rebecca Sramkova has the stronger serve profile on this surface
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 →