ATP/WTA Tennis

Sofia Costoulas vs Sapfo Sakellaridi Prediction

June 1, 2026

10,000 Monte Carlo simulations

Sofia Costoulas vs Sapfo Sakellaridi prediction for June 1, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Sapfo Sakellaridi 0 - Sofia Costoulas 0. Sofia Costoulas is favored with a 55.2% win probability.

Sapfo Sakellaridi
1500
Hard Elo
VS Hard • WTA
Sofia Costoulas
1500
Hard Elo
Match Win Probability
44.8%
55.2%
Sapfo SakellaridiSofia Costoulas
Hard
Surface
WTA 125k Foggia
Tournament
10,000
Simulations
FINALSofia Costoulas def Sapfo Sakellaridi (2–1)
Calibrated accuracy at this confidence: 54.6% (4,219 games)

Match Context

Tournament
WTA 125k Foggia
Surface
Hard
Format
Best of 3 · WTA

Surface Elo Ratings (Hard)

Sofia Costoulas
1500
Sapfo Sakellaridi
1500
Sofia Costoulas 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%

Sofia Costoulas SPW
56.8%
Above tour avg
Sapfo Sakellaridi SPW
56.7%
Above tour avg
● Serve statistics are nearly identical — expect a close match

Market Odds & Model Edge

Sofia Costoulas ML
-823
Model: 55%
Edge: -33.9%
Sapfo Sakellaridi ML
+515
Model: 45%
Edge: +28.5%
Model Projection
Sapfo Sakellaridi ML +515 · +28.5% edge

Key Matchup Factors

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

Edge Analysis

Moneyline
Sofia Costoulas 55.2%
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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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