Garrett Johns vs Jan Jermar prediction for April 29, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Jan Jermar 0 - Garrett Johns 0. Garrett Johns is favored with a 52.6% win probability.
Jan Jermar
1480
Hard Elo
VS
Hard • ATP
Garrett Johns
1541
Hard Elo
Match Win Probability
Jan JermarGarrett Johns
Hard
Surface
ATP Challenger Ostrava
Tournament
10,000
Simulations
Calibrated accuracy at this confidence: 58.6% (1,259 games)
Match Context
Tournament
ATP Challenger Ostrava
Surface
Hard
Format
Best of 3 · ATP
Surface Elo Ratings (Hard)
Garrett Johns
Jan Jermar
Garrett Johns leads by 61 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%
Garrett Johns SPW
61.9%
Below tour avg
Jan Jermar SPW
60.8%
Below tour avg
● Garrett Johns has a slight serve edge (+1.1%)
Market Odds & Model Edge
Garrett Johns ML
-1331
Model: 53%
Edge: -40.4%
Jan Jermar ML
+876
Model: 47%
Edge: +37.1%
Model Projection
Jan Jermar ML +876 · +37.1% edge
Key Matchup Factors
- Garrett Johns has a moderate 61-point Elo edge on Hard
- Hard court provides a neutral surface — favors all-court players
- Garrett Johns has the stronger serve profile on this surface
Surface Elo v1.0 · Barnett-Clarke serve model · 10,000 simulations · ATP
Edge Analysis
Moneyline
Garrett Johns 52.6%
--
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 →