ATP/WTA Tennis

Elina Svitolina vs Liudmila Samsonova Prediction

June 23, 2026

10,000 Monte Carlo simulations

Elina Svitolina vs Liudmila Samsonova prediction for June 23, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Liudmila Samsonova 0 - Elina Svitolina 0. Elina Svitolina is favored with a 57.8% win probability.

Liudmila Samsonova
1610
Hard Elo
VS Hard • WTA
Elina Svitolina
1871
Hard Elo
Match Win Probability
42.2%
57.8%
Liudmila SamsonovaElina Svitolina
Hard
Surface
WTA Bad Homburg Open
Tournament
10,000
Simulations
FINALElina Svitolina def Liudmila Samsonova (2–1)
Calibrated accuracy at this confidence: 53.4% (6,309 games)

Match Context

Tournament
WTA Bad Homburg Open
Surface
Hard
Format
Best of 3 · WTA

Surface Elo Ratings (Hard)

Elina Svitolina
1871
Liudmila Samsonova
1610
Elina Svitolina leads by 261 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%

Elina Svitolina SPW
60.6%
Above tour avg
Liudmila Samsonova SPW
58.6%
Above tour avg
● Elina Svitolina has a slight serve edge (+1.9%)

Market Odds & Model Edge

Elina Svitolina ML
-245
Model: 58%
Edge: -13.2%
Liudmila Samsonova ML
+218
Model: 42%
Edge: +10.7%
Model Projection
Liudmila Samsonova ML +218 · +10.7% edge

Key Matchup Factors

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

Edge Analysis

Moneyline
Elina Svitolina 57.8%
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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. Probabilities are calibrated using Bayesian methods and sized via the Kelly Criterion. Full methodology →

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