Paul Jubb vs Digvijay Pratap Singh prediction for April 29, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Digvijay Pratap Singh 0 - Paul Jubb 0. Paul Jubb is favored with a 91.8% win probability.
Digvijay Pratap Singh
1459
Hard Elo
VS
Hard • ATP
Paul Jubb
1666
Hard Elo
Match Win Probability
Digvijay Pratap SinghPaul Jubb
Hard
Surface
ATP Challenger Abidjan
Tournament
10,000
Simulations
Calibrated accuracy at this confidence: 64.1% (1,259 games)
Match Context
Tournament
ATP Challenger Abidjan
Surface
Hard
Format
Best of 3 · ATP
Surface Elo Ratings (Hard)
Paul Jubb
Digvijay Pratap Singh
Paul Jubb leads by 207 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
67.4%
Above tour avg
Digvijay Pratap Singh SPW
53.4%
Below tour avg
● Paul Jubb has a significant serve advantage (+14.0%)
Market Odds & Model Edge
Paul Jubb ML
-575
Model: 92%
Edge: +6.6%
Digvijay Pratap Singh ML
+452
Model: 8%
Edge: -9.9%
Model Projection
Paul Jubb ML -575 · +6.6% edge
Key Matchup Factors
- Paul Jubb holds a commanding 207-point Elo advantage on Hard
- Hard court provides a neutral surface — favors all-court players
- Paul Jubb has the stronger serve profile on this surface
- Heavy favorite (Paul Jubb at 92%) — ML value may be limited; consider live or set markets
Surface Elo v1.0 · Barnett-Clarke serve model · 10,000 simulations · ATP
Edge Analysis
Moneyline
Paul Jubb 91.8%
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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 →