Nuno Borges vs Miomir Kecmanovic: AI Prediction | Games, Spread, Aces & Double Faults
Nuno Borges
Miomir Kecmanovic
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Set it upRanking Trends
Nuno Borges
- Current #50 2026-05-18
- 3 mo ago #48 2026-02-23
- 6 mo ago #47 2025-11-24
- 9 mo ago #41 2025-08-25
- 12 mo ago #41 2025-05-26
Miomir Kecmanovic
- Current #47 2026-05-18
- 3 mo ago #84 2026-02-23
- 6 mo ago #52 2025-11-24
- 9 mo ago #42 2025-08-25
- 12 mo ago #46 2025-05-26
Player Metrics
Nuno Borges
Miomir Kecmanovic
Recent Matches
Nuno Borges
- Last Match: vs Tomas Martin Etcheverry (3-0) clay Roland Garros 174 min
- 2nd Last Match: vs Rafael Jodar (0-2) clay Rome 116 min
- 3rd Last Match: vs Jesper de Jong (2-0) clay Rome 61 min
- 4th Last Match: vs Mariano Navone (0-2) clay Madrid 86 min
- 5th Last Match: vs Hamad Medjedovic (0-2) clay Barcelona 94 min
Miomir Kecmanovic
- Last Match: vs Fabian Marozsan (3-0) clay Roland Garros 174 min
- 2nd Last Match: vs Andrey Rublev (0-2) clay Rome 74 min
- 3rd Last Match: vs Dalibor Svrcina (2-0) clay Rome 84 min
- 4th Last Match: vs Terence Atmane (0-2) clay Madrid 75 min
- 5th Last Match: vs Alexander Zverev (1-2) clay Munich 138 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
Double Faults Probability Distribution
Distribution
Probability of each double fault count outcome
Cumulative Probability (CDF)
Probability of double faults ≤ X
Match Format Predictions
Tiebreak Likelihood
Probability that any tiebreak is played in this match
Exact Score Distribution BO5
Probability of each set-by-set outcome (Nuno Borges's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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