Jaime Faria vs Denis Shapovalov: AI Prediction | Games, Spread, Aces & Double Faults
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Set it upRanking Trends
Jaime Faria
- Current #117 2026-05-18
- 3 mo ago #145 2026-02-23
- 6 mo ago #152 2025-11-24
- 9 mo ago #117 2025-08-25
- 12 mo ago #115 2025-05-26
Denis Shapovalov
- Current #37 2026-05-18
- 3 mo ago #36 2026-02-23
- 6 mo ago #23 2025-11-24
- 9 mo ago #29 2025-08-25
- 12 mo ago #31 2025-05-26
Player Metrics
Jaime Faria
Denis Shapovalov
Recent Matches
Jaime Faria
- Last Match: vs Lukas Neumayer (2-0) clay Roland Garros 174 min
- 2nd Last Match: vs Colton Smith (2-1) clay Roland Garros 174 min
- 3rd Last Match: vs Grigor Dimitrov (2-1) clay Roland Garros 174 min
- 4th Last Match: vs Pablo Llamas Ruiz (1-2) clay Rome 115 min
- 5th Last Match: vs Adolfo Daniel Vallejo (2-1) clay Rome 119 min
Denis Shapovalov
- Last Match: vs Mariano Navone (0-2) clay Rome 103 min
- 2nd Last Match: vs Nicolai Budkov Kjaer (0-2) clay Madrid 52 min
- 3rd Last Match: vs Alex Molcan (0-2) clay Munich 78 min
- 4th Last Match: vs Fabian Marozsan (2-0) clay Munich 85 min
- 5th Last Match: vs Tallon Griekspoor (2-1) clay Munich 122 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 (Jaime Faria's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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