Martin Damm vs Alex de Minaur: AI Prediction | Games, Spread, Aces & Double Faults
Martin Damm
Alex de Minaur
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Set it upRanking Trends
Martin Damm
- Current #114 2026-06-08
- 3 mo ago #129 2026-03-02
- 6 mo ago #177 2025-12-08
- 9 mo ago #281 2025-09-08
- 12 mo ago #1000 None
Alex de Minaur
- Current #6 2026-06-08
- 3 mo ago #6 2026-03-02
- 6 mo ago #7 2025-12-08
- 9 mo ago #8 2025-09-08
- 12 mo ago #10 2025-06-09
Player Metrics
Martin Damm
Alex de Minaur
Recent Matches
Martin Damm
- Last Match: vs Juan Pablo Ficovich (2-0) grass S Hertogenbosch 59 min
- 2nd Last Match: vs Max Houkes (2-1) grass S Hertogenbosch 123 min
- 3rd Last Match: vs Pablo Carreno Busta (0-2) clay Rome 70 min
- 4th Last Match: vs Jakub Mensik (0-2) clay Madrid 66 min
- 5th Last Match: vs Alexei Popyrin (2-0) clay Madrid 107 min
Alex de Minaur
- Last Match: vs Jakub Mensik (1-2) clay Roland Garros 174 min
- 2nd Last Match: vs Toby Samuel (3-0) clay Roland Garros 174 min
- 3rd Last Match: vs Luciano Darderi (1-0) clay Hamburg 94 min
- 4th Last Match: vs Alejandro Davidovich Fokina (2-1) clay Hamburg 159 min
- 5th Last Match: vs Francisco Cerundolo (2-1) clay Hamburg 129 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 (Martin Damm's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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