Zachary Svajda vs Mattia Bellucci: AI Prediction | Games, Spread, Aces & Double Faults
Why the Model Favors Mattia Bellucci
The factors that drove this prediction, measured in win-probability points.
Starting from an even matchup, these factors move the model to 54% for Mattia Bellucci. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →
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Set it upRanking Trends
Zachary Svajda
- Current #87 2026-08-03
- 3 mo ago #90 2026-05-04
- 6 mo ago #110 2026-02-09
- 9 mo ago #143 2025-11-10
- 12 mo ago #143 2025-08-18
Mattia Bellucci
- Current #80 2026-08-03
- 3 mo ago #80 2026-05-04
- 6 mo ago #107 2026-02-09
- 9 mo ago #73 2025-11-10
- 12 mo ago #63 2025-08-18
Player Metrics
Zachary Svajda
Mattia Bellucci
Recent Matches
Zachary Svajda
- Last Match: vs Arthur Fils (1-2) hard Toronto 98 min
- 2nd Last Match: vs Denis Shapovalov (1-1) hard Toronto 100 min
- 3rd Last Match: vs Aleksandar Vukic (0-2) hard Washington 50 min
- 4th Last Match: vs Cruz Hewitt (1-1) hard Washington 97 min
- 5th Last Match: vs Stefan Kozlov (2-0) hard Washington 103 min
Mattia Bellucci
- Last Match: vs Sebastian Baez (0-2) hard Toronto 80 min
- 2nd Last Match: vs Ugo Humbert (1-2) grass Eastbourne 161 min
- 3rd Last Match: vs Raphael Collignon (1-2) grass Halle 115 min
- 4th Last Match: vs Alexander Bublik (2-0) grass Halle 74 min
- 5th Last Match: vs Alex Bolt (2-1) grass Halle 168 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 BO3
Probability of each set-by-set outcome (Zachary Svajda's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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