Katherine Sebov vs Allura Zamarripa prediction for June 14, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Allura Zamarripa 0 - Katherine Sebov 0. Katherine Sebov is favored with a 54.1% win probability.
Allura Zamarripa
1500
Hard Elo
VS
Hard • WTA
Katherine Sebov
1500
Hard Elo
Match Win Probability
Allura ZamarripaKatherine Sebov
Hard
Surface
Figueira Da Foz
Tournament
10,000
Simulations
Calibrated accuracy at this confidence: 54.6% (5,244 games)
Match Context
Tournament
Figueira Da Foz
Surface
Hard
Format
Best of 3 · WTA
Surface Elo Ratings (Hard)
Katherine Sebov
Allura Zamarripa
Katherine Sebov 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%
Katherine Sebov SPW
57.5%
Above tour avg
Allura Zamarripa SPW
57.0%
Above tour avg
● Serve statistics are nearly identical — expect a close match
Market Odds & Model Edge
Katherine Sebov ML
-380
Model: 54%
Edge: -25.1%
Allura Zamarripa ML
+297
Model: 46%
Edge: +20.7%
Model Projection
Allura Zamarripa ML +297 · +20.7% edge
Key Matchup Factors
- Players are closely matched (0-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 54.1%
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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. Probabilities are calibrated using Bayesian methods and sized via the Kelly Criterion. Full methodology →