Beatriz Haddad Maia vs Marina Bassols Ribera prediction for May 1, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Marina Bassols Ribera 0 - Beatriz Haddad Maia 0. Beatriz Haddad Maia is favored with a 90.7% win probability.
Marina Bassols Ribera
1395
Hard Elo
VS
Hard • WTA
Beatriz Haddad Maia
1749
Hard Elo
Match Win Probability
Marina Bassols RiberaBeatriz Haddad Maia
Hard
Surface
La Bisbal d'Empordà
Tournament
10,000
Simulations
Calibrated accuracy at this confidence: 58.8% (1,414 games)
Match Context
Tournament
La Bisbal d'Empordà
Surface
Hard
Format
Best of 3 · WTA
Surface Elo Ratings (Hard)
Beatriz Haddad Maia
Marina Bassols Ribera
Beatriz Haddad Maia leads by 355 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%
Beatriz Haddad Maia SPW
63.7%
Above tour avg
Marina Bassols Ribera SPW
51.4%
Below tour avg
● Beatriz Haddad Maia has a significant serve advantage (+12.3%)
Market Odds & Model Edge
Beatriz Haddad Maia ML
-185
Model: 91%
Edge: +25.8%
Marina Bassols Ribera ML
+140
Model: 9%
Edge: -32.4%
Model Projection
Beatriz Haddad Maia ML -185 · +25.8% edge
Key Matchup Factors
- Beatriz Haddad Maia holds a commanding 355-point Elo advantage on Hard
- Hard court provides a neutral surface — favors all-court players
- Beatriz Haddad Maia has the stronger serve profile on this surface
- Heavy favorite (Beatriz Haddad Maia at 91%) — ML value may be limited; consider live or set markets
Surface Elo v1.0 · Barnett-Clarke serve model · 10,000 simulations · WTA
Edge Analysis
Moneyline
Beatriz Haddad Maia 90.7%
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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 →