Tomas Machac vs Karen Khachanov Prediction
Why the Model Favors Karen Khachanov
The factors that drove this prediction, measured in win-probability points.
Starting from an even matchup, these factors move the model to 75% for Karen Khachanov. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →
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Set it upRanking Trends
Tomas Machac
- Current #72 2026-10-19
- 3 mo ago #53 2026-07-20
- 6 mo ago #41 2026-04-20
- 9 mo ago #24 2026-01-19
- 12 mo ago #31 2025-10-20
Karen Khachanov
- Current #25 2026-10-19
- 3 mo ago #26 2026-07-20
- 6 mo ago #16 2026-04-20
- 9 mo ago #18 2026-01-19
- 12 mo ago #13 2025-10-20
Player Metrics
Tomas Machac
Karen Khachanov
Recent Matches
Tomas Machac
- Last Match: vs Zangar Nurlanuly (2-0) hard Almaty 62 min
- 2nd Last Match: vs Alexander Bublik (0-2) hard Shanghai 83 min
- 3rd Last Match: vs Zhizhen Zhang (2-1) hard Shanghai 130 min
- 4th Last Match: vs Alex Molcan (0-2) hard Beijing 63 min
- 5th Last Match: vs Arthur Gea (0-2) hard Beijing 77 min
Karen Khachanov
- Last Match: vs Rei Sakamoto (2-0) hard Almaty 75 min
- 2nd Last Match: vs Alex de Minaur (0-2) hard Shanghai 85 min
- 3rd Last Match: vs Adrian Mannarino (2-0) hard Shanghai 77 min
- 4th Last Match: vs Arthur Fery (2-1) hard Shanghai 209 min
- 5th Last Match: vs Hubert Hurkacz (0-2) hard Beijing 92 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
Tomas Machac
Expected 6.4 aces
Karen Khachanov
Expected 8.3 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
Tomas Machac
Expected 2.7 double faults
Karen Khachanov
Expected 2.2 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 (Tomas Machac's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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