Naomi Osaka vs Jasmine Paolini Prediction
Why the Model Favors Naomi Osaka
The factors that drove this prediction, measured in win-probability points.
Starting from an even matchup, these factors move the model to 68% for Naomi Osaka. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →
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Set it upRanking Trends
Naomi Osaka
- Current #18 2026-10-26
- 3 mo ago #13 2026-07-27
- 6 mo ago #15 2026-04-27
- 9 mo ago #17 2026-01-26
- 12 mo ago #16 2025-10-27
Jasmine Paolini
- Current #35 2026-10-26
- 3 mo ago #15 2026-07-27
- 6 mo ago #9 2026-04-27
- 9 mo ago #8 2026-01-26
- 12 mo ago #8 2025-10-27
Player Metrics
Naomi Osaka
Jasmine Paolini
Recent Matches
Naomi Osaka
- Last Match: vs Karolina Muchova (1-2) hard Beijing 172 min
- 2nd Last Match: vs Sara Bejlek (2-0) hard Beijing 121 min
- 3rd Last Match: vs Maria Timofeeva (2-1) hard Beijing 124 min
- 4th Last Match: vs Elena Rybakina (0-2) hard Us Open 120 min
- 5th Last Match: vs Elise Mertens (2-1) hard Us Open 120 min
Jasmine Paolini
- Last Match: vs Iva Jovic (0-2) hard Ningbo 82 min
- 2nd Last Match: vs Anhelina Kalinina (2-0) hard Ningbo 100 min
- 3rd Last Match: vs Sonay Kartal (0-2) hard Wuhan 63 min
- 4th Last Match: vs Nikola Bartunkova (2-0) hard Wuhan 113 min
- 5th Last Match: vs Sara Bejlek (2-0) hard Wuhan 101 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
Naomi Osaka
Expected 4.9 aces
Jasmine Paolini
Expected 1.4 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
Naomi Osaka
Expected 2.6 double faults
Jasmine Paolini
Expected 2.9 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 (Naomi Osaka's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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