Miomir Kecmanovic vs Holger Rune Prediction
Why the Model Favors Holger Rune
The factors that drove this prediction, measured in win-probability points.
Starting from an even matchup, these factors move the model to 65% for Holger Rune. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →
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Set it upRanking Trends
Miomir Kecmanovic
- Current #60 2026-11-02
- 3 mo ago #66 2026-08-10
- 6 mo ago #70 2026-05-04
- 9 mo ago #66 2026-02-09
- 12 mo ago #52 2025-11-10
Holger Rune
- Current #433 2026-11-02
- 3 mo ago #102 2026-08-10
- 6 mo ago #40 2026-05-04
- 9 mo ago #17 2026-02-09
- 12 mo ago #15 2025-11-10
Player Metrics
Miomir Kecmanovic
Holger Rune
Recent Matches
Miomir Kecmanovic
- Last Match: vs Arthur Rinderknech (2-1) hard Stockholm 143 min
- 2nd Last Match: vs Juan Manuel Cerundolo (1-2) hard Paris 153 min
- 3rd Last Match: vs James Duckworth (2-1) hard Paris 118 min
- 4th Last Match: vs Rinky Hijikata (0-2) hard Basel 95 min
- 5th Last Match: vs James Duckworth (0-2) hard Almaty 69 min
Holger Rune
- Last Match: vs Zizou Bergs (2-0) hard Stockholm 86 min
- 2nd Last Match: vs Tommy Paul (0-2) hard Paris 80 min
- 3rd Last Match: vs Valentin Vacherot (1-2) hard Basel 122 min
- 4th Last Match: vs Hubert Hurkacz (2-1) hard Basel 118 min
- 5th Last Match: vs Quentin Halys (2-1) hard Basel 160 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
Miomir Kecmanovic
Expected 5.3 aces
Holger Rune
Expected 7.8 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
Miomir Kecmanovic
Expected 1.7 double faults
Holger Rune
Expected 2.4 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 (Miomir Kecmanovic's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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