Jason Jung vs Giles Hussey prediction for April 30, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Giles Hussey 0 - Jason Jung 0. Giles Hussey is favored with a 51.5% win probability.
Giles Hussey
1496
Hard Elo
VS
Hard • ATP
Jason Jung
1634
Hard Elo
Match Win Probability
Giles HusseyJason Jung
Hard
Surface
ATP Challenger Jiujiang
Tournament
10,000
Simulations
Calibrated accuracy at this confidence: 59.4% (1,330 games)
Match Context
Tournament
ATP Challenger Jiujiang
Surface
Hard
Format
Best of 3 · ATP
Surface Elo Ratings (Hard)
Jason Jung
Giles Hussey
Jason Jung leads by 138 Elo points on Hard
Serve & Return Analysis
Serve Points Won % (SPW) is the single most predictive metric in tennis. ATP average on Hard: 63.5%
Jason Jung SPW
58.7%
Below tour avg
Giles Hussey SPW
58.5%
Below tour avg
● Serve statistics are nearly identical — expect a close match
Market Odds & Model Edge
Jason Jung ML
+215
Model: 48%
Edge: +16.8%
Giles Hussey ML
-264
Model: 52%
Edge: -21.0%
Model Projection
Jason Jung ML +215 · +16.8% edge
Key Matchup Factors
- Jason Jung holds a commanding 138-point Elo advantage on Hard
- Hard court provides a neutral surface — favors all-court players
- Jason Jung has the stronger serve profile on this surface
Surface Elo v1.0 · Barnett-Clarke serve model · 10,000 simulations · ATP
Edge Analysis
Moneyline
Giles Hussey 51.5%
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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. Full methodology →