Taylor Fritz vs Lorenzo Sonego: AI Prediction | Games, Spread, Aces & Double Faults
Why the Model Favors Taylor Fritz
The factors that drove this prediction, measured in win-probability points.
Starting from an even matchup, these factors move the model to 79% for Taylor Fritz. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →
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Set it upRanking Trends
Taylor Fritz
- Current #8 2026-06-29
- 3 mo ago #8 2026-03-30
- 6 mo ago #6 2025-12-29
- 9 mo ago #4 2025-09-29
- 12 mo ago #5 2025-06-30
Lorenzo Sonego
- Current #71 2026-06-29
- 3 mo ago #63 2026-03-30
- 6 mo ago #40 2025-12-29
- 9 mo ago #46 2025-09-29
- 12 mo ago #47 2025-06-30
Player Metrics
Taylor Fritz
Lorenzo Sonego
Recent Matches
Taylor Fritz
- Last Match: vs Patrick Kypson (3-0) grass Wimbledon 174 min
- 2nd Last Match: vs Dusan Lajovic (3-0) grass Wimbledon 174 min
- 3rd Last Match: vs Frances Tiafoe (0-2) grass Halle 67 min
- 4th Last Match: vs Alexander Zverev (2-1) grass Halle 159 min
- 5th Last Match: vs Ben Shelton (2-1) grass Halle 165 min
Lorenzo Sonego
- Last Match: vs Gabriel Diallo (3-2) grass Wimbledon 174 min
- 2nd Last Match: vs Tomas Martin Etcheverry (3-1) grass Wimbledon 174 min
- 3rd Last Match: vs Miomir Kecmanovic (1-2) grass Mallorca 126 min
- 4th Last Match: vs Mariano Navone (2-1) grass Mallorca 173 min
- 5th Last Match: vs Ben Shelton (0-2) grass Halle 79 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 (Taylor Fritz's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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