ATP/WTA Tennis

Ashlyn Krueger vs Beatriz Haddad Maia Prediction

April 30, 2026

10,000 Monte Carlo simulations

Ashlyn Krueger vs Beatriz Haddad Maia prediction for April 30, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Beatriz Haddad Maia 0 - Ashlyn Krueger 0. Beatriz Haddad Maia is favored with a 62.2% win probability.

Beatriz Haddad Maia
1749
Hard Elo
VS Hard • WTA
Ashlyn Krueger
1590
Hard Elo
Match Win Probability
62.2%
37.8%
Beatriz Haddad MaiaAshlyn Krueger
Hard
Surface
WTA 125K La Bisbal D'Emporda - R16
Tournament
10,000
Simulations
FINALBeatriz Haddad Maia def Ashlyn Krueger (2–1)
Calibrated accuracy at this confidence: 59.4% (1,330 games)

Match Context

Tournament
WTA 125K La Bisbal D'Emporda - R16
Surface
Hard
Format
Best of 3 · WTA

Surface Elo Ratings (Hard)

Ashlyn Krueger
1590
Beatriz Haddad Maia
1749
Beatriz Haddad Maia leads by 159 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%

Ashlyn Krueger SPW
59.5%
Above tour avg
Beatriz Haddad Maia SPW
61.7%
Above tour avg
● Beatriz Haddad Maia has a slight serve edge (+2.2%)

Market Odds & Model Edge

Ashlyn Krueger ML
-183
Model: 38%
Edge: -26.8%
Beatriz Haddad Maia ML
+150
Model: 62%
Edge: +22.2%
Model Projection
Beatriz Haddad Maia ML +150 · +22.2% edge

Key Matchup Factors

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

Edge Analysis

Moneyline
Beatriz Haddad Maia 62.2%
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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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