Flavio Cobolli vs Zachary Svajda: AI Prediction | Games, Spread, Aces & Double Faults
Flavio Cobolli
Zachary Svajda
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Set it upRanking Trends
Flavio Cobolli
- Current #12 2026-05-18
- 3 mo ago #20 2026-02-23
- 6 mo ago #22 2025-11-24
- 9 mo ago #26 2025-08-25
- 12 mo ago #26 2025-05-26
Zachary Svajda
- Current #85 2026-05-18
- 3 mo ago #98 2026-02-23
- 6 mo ago #142 2025-11-24
- 9 mo ago #145 2025-08-25
- 12 mo ago #228 2025-05-26
Player Metrics
Flavio Cobolli
Zachary Svajda
Recent Matches
Flavio Cobolli
- Last Match: vs Learner Tien (3-0) clay Roland Garros 174 min
- 2nd Last Match: vs Yibing Wu (3-0) clay Roland Garros 174 min
- 3rd Last Match: vs Andrea Pellegrino (3-0) clay Roland Garros 174 min
- 4th Last Match: vs Ignacio Buse (0-2) clay Hamburg 91 min
- 5th Last Match: vs Thiago Agustin Tirante (0-2) clay Rome 78 min
Zachary Svajda
- Last Match: vs Francisco Cerundolo (3-2) clay Roland Garros 174 min
- 2nd Last Match: vs Adam Walton (3-1) clay Roland Garros 174 min
- 3rd Last Match: vs Alexei Popyrin (3-1) clay Roland Garros 174 min
- 4th Last Match: vs Max Hans Rehberg (0-2) clay Geneva 65 min
- 5th Last Match: vs Casper Ruud (0-2) clay Rome 64 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 (Flavio Cobolli's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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