ATP/WTA Tennis

Katie Swan vs Taylah Preston Prediction

June 4, 2026

10,000 Monte Carlo simulations

Katie Swan vs Taylah Preston prediction for June 4, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Taylah Preston 0 - Katie Swan 0. Katie Swan is favored with a 55.8% win probability.

Taylah Preston
1437
Hard Elo
VS Hard • WTA
Katie Swan
1511
Hard Elo
Match Win Probability
44.2%
55.8%
Taylah PrestonKatie Swan
Hard
Surface
Lexus Birmingham Open
Tournament
10,000
Simulations
FINALTaylah Preston def Katie Swan (2–0)
Calibrated accuracy at this confidence: 56.1% (4,286 games)

Match Context

Tournament
Lexus Birmingham Open
Surface
Hard
Format
Best of 3 · WTA

Surface Elo Ratings (Hard)

Katie Swan
1511
Taylah Preston
1437
Katie Swan leads by 75 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%

Katie Swan SPW
57.0%
Above tour avg
Taylah Preston SPW
56.2%
Below tour avg
● Serve statistics are nearly identical — expect a close match

Key Matchup Factors

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

Edge Analysis

Moneyline
Katie Swan 55.8%
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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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