Katherine Sebov vs Dalila Jakupovic prediction for May 4, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Dalila Jakupovic 0 - Katherine Sebov 0. Katherine Sebov is favored with a 55.4% win probability.
Dalila Jakupovic
1506
Hard Elo
VS
Hard • WTA
Katherine Sebov
1508
Hard Elo
Match Win Probability
Dalila JakupovicKatherine Sebov
Hard
Surface
Istanbul
Tournament
10,000
Simulations
Calibrated accuracy at this confidence: 58.3% (1,443 games)
Match Context
Tournament
Istanbul
Surface
Hard
Format
Best of 3 · WTA
Surface Elo Ratings (Hard)
Katherine Sebov
Dalila Jakupovic
Katherine Sebov leads by 3 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%
Katherine Sebov SPW
55.5%
Below tour avg
Dalila Jakupovic SPW
51.9%
Below tour avg
● Katherine Sebov has a significant serve advantage (+3.6%)
Market Odds & Model Edge
Katherine Sebov ML
-250
Model: 55%
Edge: -16.0%
Dalila Jakupovic ML
+185
Model: 45%
Edge: +9.5%
Model Projection
Dalila Jakupovic ML +185 · +9.5% edge
Key Matchup Factors
- Players are closely matched (3-point Elo gap)
- Hard court provides a neutral surface — favors all-court players
- Katherine Sebov has the stronger serve profile on this surface
Surface Elo v1.0 · Barnett-Clarke serve model · 10,000 simulations · WTA
Edge Analysis
Moneyline
Katherine Sebov 55.4%
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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 →