Mika Brunold vs Nuno Borges Prediction
Why the Model Favors Nuno Borges
The factors that drove this prediction, measured in win-probability points.
Starting from an even matchup, these factors move the model to 85% for Nuno Borges. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →
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Set it upRanking Trends
Mika Brunold
- Current #191 2026-10-26
- 3 mo ago #420 2026-07-27
- 6 mo ago #383 2026-04-20
- 9 mo ago #391 2026-01-19
- 12 mo ago #308 2025-10-27
Nuno Borges
- Current #53 2026-10-26
- 3 mo ago #49 2026-07-27
- 6 mo ago #49 2026-04-20
- 9 mo ago #46 2026-01-19
- 12 mo ago #46 2025-10-27
Player Metrics
Mika Brunold
Nuno Borges
Recent Matches
Mika Brunold
- Last Match: vs Remy Bertola (0-2) hard Basel 123 min
- 2nd Last Match: vs Jaime Faria (2-0) hard Basel 135 min
- 3rd Last Match: vs Reilly Opelka (1-2) hard Basel 179 min
- 4th Last Match: vs Francesco Passaro (0-2) clay Gstaad 80 min
- 5th Last Match: vs None (0-0) None None 0 min
Nuno Borges
- Last Match: vs Jiri Lehecka (1-2) hard Shanghai 118 min
- 2nd Last Match: vs Facundo Diaz Acosta (2-0) hard Shanghai 102 min
- 3rd Last Match: vs Novak Djokovic (0-2) hard Beijing 110 min
- 4th Last Match: vs Learner Tien (0-3) hard Us Open 174 min
- 5th Last Match: vs Brandon Nakashima (1-2) hard Cincinnati 140 min
Head-to-Head (Last 2 Seasons)
Key Prediction Insights
Match Analysis
Total Games Predictions
Total Games Probability Distribution
Distribution
Probability of each total games outcome
Cumulative Probability (CDF)
Probability of total games ≤ X
Games Spread Predictions
Games Spread Probability Distribution
Distribution
Probability of each games spread outcome
Cumulative Probability (CDF)
Probability of spread ≤ X
Aces and Double Faults Predictions
Aces Probability Distribution
Distribution
Probability of each ace count outcome
Cumulative Probability (CDF)
Probability of aces ≤ X
Aces by Player
Mika Brunold
Expected 4.2 aces
Nuno Borges
Expected 5.4 aces
Double Faults Probability Distribution
Distribution
Probability of each double fault count outcome
Cumulative Probability (CDF)
Probability of double faults ≤ X
Double Faults by Player
Mika Brunold
Expected 2.1 double faults
Nuno Borges
Expected 1.9 double faults
Match Format Predictions
Tiebreak Likelihood
Probability that any tiebreak is played in this match
Exact Score Distribution BO3
Probability of each set-by-set outcome (Mika Brunold's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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