ATP/WTA Tennis

Sadio Doumbia / Fabien Reboul vs Luke Johnson / Jan Zielinski Prediction

April 30, 2026

10,000 Monte Carlo simulations

Sadio Doumbia / Fabien Reboul vs Luke Johnson / Jan Zielinski prediction for April 30, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Luke Johnson / Jan Zielinski 0 - Sadio Doumbia / Fabien Reboul 0. Luke Johnson / Jan Zielinski is favored with a 53.2% win probability.

Luke Johnson / Jan Zielinski
1500
Clay Elo
VS Clay • ATP
Sadio Doumbia / Fabien Reboul
1500
Clay Elo
Match Win Probability
53.2%
46.8%
Luke Johnson / Jan ZielinskiSadio Doumbia / Fabien Reboul
Clay
Surface
ATP Madrid - Doubles
Tournament
10,000
Simulations
Calibrated accuracy at this confidence: 58.6% (1,386 games)

Match Context

Tournament
ATP Madrid - Doubles
Surface
Clay
Format
Best of 3 · ATP

Surface Elo Ratings (Clay)

Sadio Doumbia / Fabien Reboul
1500
Luke Johnson / Jan Zielinski
1500
Sadio Doumbia / Fabien Reboul leads by 0 Elo points on Clay

Serve & Return Analysis

Serve Points Won % (SPW) is the single most predictive metric in tennis. ATP average on Clay: 63.5%

Sadio Doumbia / Fabien Reboul SPW
60.3%
Below tour avg
Luke Johnson / Jan Zielinski SPW
60.3%
Below tour avg
● Serve statistics are nearly identical — expect a close match

Market Odds & Model Edge

Sadio Doumbia / Fabien Reboul ML
-165
Model: 47%
Edge: -15.4%
Luke Johnson / Jan Zielinski ML
+135
Model: 53%
Edge: +10.6%
Model Projection
Luke Johnson / Jan Zielinski ML +135 · +10.6% edge

Key Matchup Factors

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

Edge Analysis

Moneyline
Luke Johnson / Jan Zielinski 53.2%
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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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