ATP/WTA Tennis

L. Sun/S. Zhang vs E. Hozumi/F-H. Wu Prediction

May 1, 2026

10,000 Monte Carlo simulations

L. Sun/S. Zhang vs E. Hozumi/F-H. Wu prediction for May 1, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects E. Hozumi/F-H. Wu 0 - L. Sun/S. Zhang 0. E. Hozumi/F-H. Wu is favored with a 52.3% win probability.

E. Hozumi/F-H. Wu
1500
Hard Elo
VS Hard • WTA
L. Sun/S. Zhang
1500
Hard Elo
Match Win Probability
52.3%
47.7%
E. Hozumi/F-H. WuL. Sun/S. Zhang
Hard
Surface
Saint-Malo, Doubles
Tournament
10,000
Simulations
Calibrated accuracy at this confidence: 58.6% (1,386 games)

Match Context

Tournament
Saint-Malo, Doubles
Surface
Hard
Format
Best of 3 · WTA

Surface Elo Ratings (Hard)

L. Sun/S. Zhang
1500
E. Hozumi/F-H. Wu
1500
L. Sun/S. Zhang 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%

L. Sun/S. Zhang SPW
57.7%
Above tour avg
E. Hozumi/F-H. Wu SPW
57.7%
Above tour avg
● Serve statistics are nearly identical — expect a close match

Market Odds & Model Edge

L. Sun/S. Zhang ML
-125
Model: 48%
Edge: -7.8%
E. Hozumi/F-H. Wu ML
-105
Model: 52%
Edge: +1.1%

Key Matchup Factors

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

Edge Analysis

Moneyline
E. Hozumi/F-H. Wu 52.3%
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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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