Learner Tien vs Zachary Svajda Prediction
Why the Model Favors Learner Tien
The factors that drove this prediction, measured in win-probability points.
Starting from an even matchup, these factors move the model to 55% for Learner Tien. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →
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Set it upRanking Trends
Learner Tien
- Current #16 2026-10-05
- 3 mo ago #17 2026-06-29
- 6 mo ago #22 2026-04-06
- 9 mo ago #26 2026-01-05
- 12 mo ago #36 2025-09-29
Zachary Svajda
- Current #82 2026-10-05
- 3 mo ago #66 2026-06-29
- 6 mo ago #84 2026-04-06
- 9 mo ago #142 2026-01-05
- 12 mo ago #132 2025-09-29
Player Metrics
Learner Tien
Zachary Svajda
Recent Matches
Learner Tien
- Last Match: vs Hubert Hurkacz (1-2) hard Beijing 117 min
- 2nd Last Match: vs Karen Khachanov (2-3) hard Us Open 174 min
- 3rd Last Match: vs Jakub Mensik (3-2) hard Us Open 174 min
- 4th Last Match: vs Gael Monfils (3-0) hard Us Open 174 min
- 5th Last Match: vs Nuno Borges (3-0) hard Us Open 174 min
Zachary Svajda
- Last Match: vs Fabian Marozsan (2-0) hard Shanghai 79 min
- 2nd Last Match: vs Aleksandar Kovacevic (1-2) hard Tokio 132 min
- 3rd Last Match: vs Arthur Gea (1-3) hard Us Open 174 min
- 4th Last Match: vs Daniel Altmaier (3-1) hard Us Open 174 min
- 5th Last Match: vs Mattia Bellucci (0-2) hard Cincinnati 124 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
Aces by Player
Learner Tien
Expected 5.7 aces
Zachary Svajda
Expected 6.5 aces
Double Faults Probability Distribution
Distribution
Probability of each double fault count outcome
Cumulative Probability (CDF)
Probability of double faults ≤ X
Double Faults by Player
Learner Tien
Expected 3.6 double faults
Zachary Svajda
Expected 2.6 double faults
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 (Learner Tien's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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