Mika Brunold vs Borna Gojo prediction for November 7, 2026: Our Monte Carlo simulation projects Borna Gojo 0 - Mika Brunold 0. Borna Gojo is favored with a 60.9% win probability.
Borna Gojo
1747
Hard Elo
VS
Hard • ATP
Mika Brunold
1760
Hard Elo
Match Win Probability
Borna GojoMika Brunold
Hard
Surface
Stockholm
Tournament
Calibrated accuracy at this confidence: 68.7% (9,799 games)
Match Context
Tournament
Stockholm
Surface
Hard
Format
Best of 3 · ATP
Surface Elo Ratings (Hard)
Mika Brunold
Borna Gojo
Mika Brunold leads by 13 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%
Mika Brunold SPW
60.7%
Below tour avg
Borna Gojo SPW
63.6%
Above tour avg
● Borna Gojo has a slight serve edge (+2.9%)
Odds & Edge
Key Matchup Factors
- Players are closely matched (13-point Elo gap)
- Hard court provides a neutral surface — favors all-court players
- Borna Gojo has the stronger serve profile on this surface
Surface Elo v1.0 · Barnett-Clarke serve model · ATP
Model Edge & Sizing
Edge Analysis
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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 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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Permanent record: this game page is retired 90 days after the event. The full graded TENNIS 2026 record — every pick, win rate, units and ROI — lives on the TENNIS 2026 season report card.