Taylor Fritz vs Rinky Hijikata Prediction
Why the Model Favors Taylor Fritz
The factors that drove this prediction, measured in win-probability points.
Starting from an even matchup, these factors move the model to 76% for Taylor Fritz. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →
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Set it upRanking Trends
Taylor Fritz
- Current #13 2026-10-26
- 3 mo ago #10 2026-07-27
- 6 mo ago #7 2026-04-20
- 9 mo ago #9 2026-01-19
- 12 mo ago #4 2025-10-27
Rinky Hijikata
- Current #85 2026-10-26
- 3 mo ago #93 2026-07-27
- 6 mo ago #101 2026-04-20
- 9 mo ago #114 2026-01-19
- 12 mo ago #119 2025-10-27
Player Metrics
Taylor Fritz
Rinky Hijikata
Recent Matches
Taylor Fritz
- Last Match: vs Lorenzo Musetti (0-2) hard Marseille 81 min
- 2nd Last Match: vs Tommy Paul (2-0) hard Marseille 101 min
- 3rd Last Match: vs Daniel Altmaier (2-0) hard Marseille 85 min
- 4th Last Match: vs Pierre-Hugues Herbert (2-0) hard Marseille 94 min
- 5th Last Match: vs Stefanos Tsitsipas (1-2) hard Shanghai 133 min
Rinky Hijikata
- Last Match: vs Yannick Hanfmann (1-2) hard Basel 113 min
- 2nd Last Match: vs Miomir Kecmanovic (2-0) hard Basel 95 min
- 3rd Last Match: vs Terence Atmane (0-2) hard Almaty 82 min
- 4th Last Match: vs Roman Safiullin (0-2) hard Shanghai 78 min
- 5th Last Match: vs Stefanos Tsitsipas (0-2) hard Tokio 66 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
Taylor Fritz
Expected 12.3 aces
Rinky Hijikata
Expected 6.3 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
Taylor Fritz
Expected 2.2 double faults
Rinky Hijikata
Expected 2.5 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 (Taylor Fritz's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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