Francisco Cerundolo vs Roman Safiullin Prediction
Why the Model Favors Francisco Cerundolo
The factors that drove this prediction, measured in win-probability points.
Starting from an even matchup, these factors move the model to 54% for Francisco Cerundolo. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →
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Set it upRanking Trends
Francisco Cerundolo
- Current #20 2026-10-05
- 3 mo ago #21 2026-06-29
- 6 mo ago #19 2026-04-06
- 9 mo ago #21 2026-01-05
- 12 mo ago #21 2025-09-29
Roman Safiullin
- Current #79 2026-10-05
- 3 mo ago #132 2026-06-29
- 6 mo ago #229 2026-04-06
- 9 mo ago #170 2026-01-05
- 12 mo ago #106 2025-09-29
Player Metrics
Francisco Cerundolo
Roman Safiullin
Recent Matches
Francisco Cerundolo
- Last Match: vs Daniil Medvedev (0-2) hard Beijing 100 min
- 2nd Last Match: vs Jakub Mensik (2-0) hard Beijing 76 min
- 3rd Last Match: vs Botic van de Zandschulp (2-1) hard Beijing 167 min
- 4th Last Match: vs Alexander Blockx (1-3) hard Us Open 174 min
- 5th Last Match: vs Taylor Fritz (3-2) hard Us Open 174 min
Roman Safiullin
- Last Match: vs Rinky Hijikata (2-0) hard Shanghai 78 min
- 2nd Last Match: vs Shintaro Mochizuki (2-0) hard Shanghai 76 min
- 3rd Last Match: vs Alexis Galarneau (2-0) hard Shanghai 66 min
- 4th Last Match: vs Andrey Rublev (1-2) hard Beijing 120 min
- 5th Last Match: vs Flavio Cobolli (2-0) hard Beijing 84 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
Francisco Cerundolo
Expected 4.9 aces
Roman Safiullin
Expected 7.2 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
Francisco Cerundolo
Expected 3.1 double faults
Roman Safiullin
Expected 3.0 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 (Francisco Cerundolo's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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