Dayana Yastremska vs Tatjana Maria prediction for June 17, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Tatjana Maria 0 - Dayana Yastremska 0. Dayana Yastremska is favored with a 65.9% win probability.
Tatjana Maria
1452
Hard Elo
VS
Hard • WTA
Dayana Yastremska
1591
Hard Elo
Match Win Probability
Tatjana MariaDayana Yastremska
Hard
Surface
Nottingham
Tournament
10,000
Simulations
Calibrated accuracy at this confidence: 59.1% (5,703 games)
Match Context
Tournament
Nottingham
Surface
Hard
Format
Best of 3 · WTA
Surface Elo Ratings (Hard)
Dayana Yastremska
Tatjana Maria
Dayana Yastremska leads by 139 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%
Dayana Yastremska SPW
60.4%
Above tour avg
Tatjana Maria SPW
53.7%
Below tour avg
● Dayana Yastremska has a significant serve advantage (+6.7%)
Market Odds & Model Edge
Dayana Yastremska ML
-100
Model: 66%
Edge: +15.9%
Tatjana Maria ML
-112
Model: 34%
Edge: -18.7%
Model Projection
Dayana Yastremska ML -100 · +15.9% edge
Key Matchup Factors
- Dayana Yastremska holds a commanding 139-point Elo advantage on Hard
- Hard court provides a neutral surface — favors all-court players
- Dayana Yastremska has the stronger serve profile on this surface
- Heavy favorite (Dayana Yastremska at 66%) — ML value may be limited; consider live or set markets
Surface Elo v1.0 · Barnett-Clarke serve model · 10,000 simulations · WTA
Edge Analysis
Moneyline
Dayana Yastremska 65.9%
--
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 →