Ingrid Gamarra Martins / Ekaterina Ovcharenko vs Hao Ching Chan / Ivana Corley prediction for May 2, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Hao Ching Chan / Ivana Corley 0 - Ingrid Gamarra Martins / Ekaterina Ovcharenko 0. Hao Ching Chan / Ivana Corley is favored with a 52.1% win probability.
Hao Ching Chan / Ivana Corley
1500
Hard Elo
VS
Hard • WTA
Ingrid Gamarra Martins / Ekaterina Ovcharenko
1500
Hard Elo
Match Win Probability
Hao Ching Chan / Ivana CorleyIngrid Gamarra Martins / Ekaterina Ovcharenko
Hard
Surface
WTA 125k Saint Malo - Doubles
Tournament
10,000
Simulations
Calibrated accuracy at this confidence: 58.6% (1,386 games)
Match Context
Tournament
WTA 125k Saint Malo - Doubles
Surface
Hard
Format
Best of 3 · WTA
Surface Elo Ratings (Hard)
Ingrid Gamarra Martins / Ekaterina Ovcharenko
Hao Ching Chan / Ivana Corley
Ingrid Gamarra Martins / Ekaterina Ovcharenko 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%
Ingrid Gamarra Martins / Ekaterina Ovcharenko SPW
57.7%
Above tour avg
Hao Ching Chan / Ivana Corley SPW
57.7%
Above tour avg
● Serve statistics are nearly identical — expect a close match
Market Odds & Model Edge
Ingrid Gamarra Martins / Ekaterina Ovcharenko ML
+159
Model: 48%
Edge: +9.3%
Hao Ching Chan / Ivana Corley ML
-216
Model: 52%
Edge: -16.2%
Model Projection
Ingrid Gamarra Martins / Ekaterina Ovcharenko ML +159 · +9.3% edge
Key Matchup Factors
- Players are closely matched (0-point Elo gap)
- Hard court provides a neutral surface — favors all-court players
- Hao Ching Chan / Ivana Corley has the stronger serve profile on this surface
Surface Elo v1.0 · Barnett-Clarke serve model · 10,000 simulations · WTA
Edge Analysis
Moneyline
Hao Ching Chan / Ivana Corley 52.1%
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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 →