Quentin Halys vs Alexander Zverev: AI Prediction | Games, Spread, Aces & Double Faults
Quentin Halys
Alexander Zverev
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Set it upRanking Trends
Quentin Halys
- Current #88 2026-05-18
- 3 mo ago #68 2026-02-23
- 6 mo ago #91 2025-11-24
- 9 mo ago #70 2025-08-25
- 12 mo ago #52 2025-05-26
Alexander Zverev
- Current #3 2026-05-18
- 3 mo ago #4 2026-02-23
- 6 mo ago #3 2025-11-24
- 9 mo ago #3 2025-08-25
- 12 mo ago #3 2025-05-26
Player Metrics
Quentin Halys
Alexander Zverev
Recent Matches
Quentin Halys
- Last Match: vs Ugo Humbert (3-0) clay Roland Garros 174 min
- 2nd Last Match: vs Mattia Bellucci (3-0) clay Roland Garros 174 min
- 3rd Last Match: vs Jaime Faria (1-2) clay Madrid 166 min
- 4th Last Match: vs Hamad Medjedovic (1-2) clay Barcelona 122 min
- 5th Last Match: vs Matteo Arnaldi (2-1) clay Barcelona 139 min
Alexander Zverev
- Last Match: vs Tomas Machac (3-0) clay Roland Garros 174 min
- 2nd Last Match: vs Benjamin Bonzi (3-0) clay Roland Garros 174 min
- 3rd Last Match: vs Luciano Darderi (1-2) clay Rome 144 min
- 4th Last Match: vs Alexander Blockx (2-0) clay Rome 73 min
- 5th Last Match: vs Daniel Altmaier (2-0) clay Rome 104 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 (Quentin Halys's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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