Kamil Majchrzak vs Camilo Ugo Carabelli: AI Prediction | Games, Spread, Aces & Double Faults
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Set it upRanking Trends
Kamil Majchrzak
- Current #76 2026-05-04
- 3 mo ago #56 2026-02-16
- 6 mo ago #64 2025-11-17
- 9 mo ago #78 2025-08-18
- 12 mo ago #88 2025-05-19
Camilo Ugo Carabelli
- Current #61 2026-05-04
- 3 mo ago #46 2026-02-16
- 6 mo ago #49 2025-11-17
- 9 mo ago #43 2025-08-18
- 12 mo ago #52 2025-05-19
Player Metrics
Kamil Majchrzak
Camilo Ugo Carabelli
Recent Matches
Kamil Majchrzak
- Last Match: vs Marco Trungelliti (0-2) clay Marrakech 107 min
- 2nd Last Match: vs Juan Manuel Cerundolo (2-1) clay Marrakech 154 min
- 3rd Last Match: vs Quentin Halys (0-2) hard Miami 78 min
- 4th Last Match: vs Learner Tien (2-1) hard Miami 101 min
- 5th Last Match: vs Miomir Kecmanovic (2-1) hard Miami 118 min
Camilo Ugo Carabelli
- Last Match: vs Aleksandr Shevchenko (1-2) clay Rome 168 min
- 2nd Last Match: vs Flavio Cobolli (1-2) clay Madrid 147 min
- 3rd Last Match: vs Gael Monfils (2-0) clay Madrid 78 min
- 4th Last Match: vs Rafael Jodar (0-2) clay Barcelona 89 min
- 5th Last Match: vs Karen Khachanov (2-0) clay Barcelona 73 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 BO3
Probability of each set-by-set outcome (Kamil Majchrzak's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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