Rebeka Masarova vs Elena Pridankina prediction for May 2, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Elena Pridankina 0 - Rebeka Masarova 0. Elena Pridankina is favored with a 58.6% win probability.
Elena Pridankina
1460
Hard Elo
VS
Hard • WTA
Rebeka Masarova
1528
Hard Elo
Match Win Probability
Elena PridankinaRebeka Masarova
Hard
Surface
La Bisbal d'Empordà
Tournament
10,000
Simulations
Calibrated accuracy at this confidence: 58.6% (1,386 games)
Match Context
Tournament
La Bisbal d'Empordà
Surface
Hard
Format
Best of 3 · WTA
Surface Elo Ratings (Hard)
Rebeka Masarova
Elena Pridankina
Rebeka Masarova leads by 67 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%
Rebeka Masarova SPW
57.5%
Above tour avg
Elena Pridankina SPW
58.8%
Above tour avg
● Elena Pridankina has a slight serve edge (+1.4%)
Market Odds & Model Edge
Rebeka Masarova ML
-250
Model: 41%
Edge: -30.0%
Elena Pridankina ML
+185
Model: 59%
Edge: +23.5%
Model Projection
Elena Pridankina ML +185 · +23.5% edge
Key Matchup Factors
- Rebeka Masarova has a moderate 67-point Elo edge on Hard
- Hard court provides a neutral surface — favors all-court players
- Elena Pridankina has the stronger serve profile on this surface
Surface Elo v1.0 · Barnett-Clarke serve model · 10,000 simulations · WTA
Edge Analysis
Moneyline
Elena Pridankina 58.6%
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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 →