ATP/WTA Tennis

Marina Bassols Ribera vs Beatriz Haddad Maia Prediction

May 2, 2026

10,000 Monte Carlo simulations

Marina Bassols Ribera vs Beatriz Haddad Maia prediction for May 2, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Beatriz Haddad Maia 0 - Marina Bassols Ribera 0. Beatriz Haddad Maia is favored with a 91.4% win probability.

Beatriz Haddad Maia
1749
Hard Elo
VS Hard • WTA
Marina Bassols Ribera
1395
Hard Elo
Match Win Probability
91.4%
8.6%
Beatriz Haddad MaiaMarina Bassols Ribera
Hard
Surface
WTA 125K La Bisbal D'Emporda - QF
Tournament
10,000
Simulations
FINALMarina Bassols Ribera def Beatriz Haddad Maia (2–0)
Calibrated accuracy at this confidence: 63.3% (1,386 games)

Match Context

Tournament
WTA 125K La Bisbal D'Emporda - QF
Surface
Hard
Format
Best of 3 · WTA

Surface Elo Ratings (Hard)

Marina Bassols Ribera
1395
Beatriz Haddad Maia
1749
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%

Marina Bassols Ribera SPW
51.4%
Below tour avg
Beatriz Haddad Maia SPW
63.7%
Above tour avg
● Beatriz Haddad Maia has a significant serve advantage (+12.3%)

Market Odds & Model Edge

Marina Bassols Ribera ML
+128
Model: 9%
Edge: -35.2%
Beatriz Haddad Maia ML
-155
Model: 91%
Edge: +30.6%
Model Projection
Beatriz Haddad Maia ML -155 · +30.6% edge

Key Matchup Factors

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

Edge Analysis

Moneyline
Beatriz Haddad Maia 91.4%
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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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