Hamad Medjedovic vs Yannick Hanfmann: AI Prediction | Games, Spread, Aces & Double Faults
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Set it upRanking Trends
Hamad Medjedovic
- Current #56 2026-05-18
- 3 mo ago #102 2026-02-23
- 6 mo ago #83 2025-11-24
- 9 mo ago #57 2025-08-25
- 12 mo ago #74 2025-05-26
Yannick Hanfmann
- Current #55 2026-05-18
- 3 mo ago #81 2026-02-23
- 6 mo ago #103 2025-11-24
- 9 mo ago #132 2025-08-25
- 12 mo ago #142 2025-05-26
Player Metrics
Hamad Medjedovic
Yannick Hanfmann
Recent Matches
Hamad Medjedovic
- Last Match: vs Martin Landaluce (0-2) clay Rome 107 min
- 2nd Last Match: vs Mariano Navone (2-1) clay Rome 182 min
- 3rd Last Match: vs Joao Fonseca (2-1) clay Rome 144 min
- 4th Last Match: vs Valentin Royer (2-0) clay Rome 102 min
- 5th Last Match: vs Andrey Rublev (1-2) clay Barcelona 118 min
Yannick Hanfmann
- Last Match: vs Luciano Darderi (0-2) clay Hamburg 113 min
- 2nd Last Match: vs Max Schoenhaus (2-1) clay Hamburg 135 min
- 3rd Last Match: vs Luciano Darderi (0-2) clay Rome 90 min
- 4th Last Match: vs Hubert Hurkacz (2-1) clay Rome 139 min
- 5th Last Match: vs Francisco Cerundolo (0-2) clay Madrid 100 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 (Hamad Medjedovic's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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