Sho Shimabukuro vs Jaime Faria: AI Prediction | Games, Spread, Aces & Double Faults
Why the Model Favors Sho Shimabukuro
The factors that drove this prediction, measured in win-probability points.
Starting from an even matchup, these factors move the model to 52% for Sho Shimabukuro. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →
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Set it upRanking Trends
Sho Shimabukuro
- Current #89 2026-06-29
- 3 mo ago #111 2026-03-30
- 6 mo ago #147 2025-12-29
- 9 mo ago #197 2025-09-29
- 12 mo ago #186 2025-06-30
Jaime Faria
- Current #98 2026-06-29
- 3 mo ago #143 2026-03-30
- 6 mo ago #151 2025-12-29
- 9 mo ago #118 2025-09-29
- 12 mo ago #116 2025-06-30
Player Metrics
Sho Shimabukuro
Jaime Faria
Recent Matches
Sho Shimabukuro
- Last Match: vs Frances Tiafoe (0-2) grass Halle 88 min
- 2nd Last Match: vs Tallon Griekspoor (2-1) grass Halle 128 min
- 3rd Last Match: vs Ben Shelton (1-2) grass Stuttgart 103 min
- 4th Last Match: vs Nick Kyrgios (2-1) grass Stuttgart 112 min
- 5th Last Match: vs Quentin Halys (2-0) grass Stuttgart 56 min
Jaime Faria
- Last Match: vs Rei Sakamoto (3-1) grass Wimbledon 174 min
- 2nd Last Match: vs Luka Pavlovic (2-0) grass Wimbledon 174 min
- 3rd Last Match: vs Hugo Grenier (2-0) grass Wimbledon 174 min
- 4th Last Match: vs Frances Tiafoe (2-3) clay Roland Garros 174 min
- 5th Last Match: vs Jan-Lennard Struff (3-0) clay Roland Garros 174 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 (Sho Shimabukuro's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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