ATP/WTA Tennis

Paul Jubb vs Mert Alkaya Prediction

April 30, 2026

10,000 Monte Carlo simulations

Paul Jubb vs Mert Alkaya prediction for April 30, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Mert Alkaya 0 - Paul Jubb 0. Paul Jubb is favored with a 68.2% win probability.

Mert Alkaya
1481
Hard Elo
VS Hard • ATP
Paul Jubb
1666
Hard Elo
Match Win Probability
31.8%
68.2%
Mert AlkayaPaul Jubb
Hard
Surface
ATP Challenger Abidjan - R16
Tournament
10,000
Simulations
Calibrated accuracy at this confidence: 58.4% (1,363 games)

Match Context

Tournament
ATP Challenger Abidjan - R16
Surface
Hard
Format
Best of 3 · ATP

Surface Elo Ratings (Hard)

Paul Jubb
1666
Mert Alkaya
1481
Paul Jubb leads by 185 Elo points on Hard

Serve & Return Analysis

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

Paul Jubb SPW
63.8%
Above tour avg
Mert Alkaya SPW
60.3%
Below tour avg
● Paul Jubb has a significant serve advantage (+3.5%)

Market Odds & Model Edge

Paul Jubb ML
-124
Model: 68%
Edge: +12.8%
Mert Alkaya ML
+109
Model: 32%
Edge: -16.0%
Model Projection
Paul Jubb ML -124 · +12.8% edge

Key Matchup Factors

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

Edge Analysis

Moneyline
Paul Jubb 68.2%
--
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 →

Want Premium Predictions?

Get full access to all picks, detailed game-by-game analysis, and Kelly-optimized unit sizing across 9 leagues.

Go Premium Free Picks