Pierre-Hugues Herbert vs Sebastian Baez Prediction
Why the Model Favors Sebastian Baez
The factors that drove this prediction, measured in win-probability points.
Starting from an even matchup, these factors move the model to 62% for Sebastian Baez. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →
Also available in Claude and Perplexity. Query these predictions in plain language: our native connector lets your AI assistant call our models on demand, no code.
Set it upRanking Trends
Pierre-Hugues Herbert
- Current #290 2026-10-19
- 3 mo ago #243 2026-07-20
- 6 mo ago #225 2026-04-20
- 9 mo ago #157 2026-01-19
- 12 mo ago #142 2025-10-20
Sebastian Baez
- Current #49 2026-10-19
- 3 mo ago #56 2026-07-20
- 6 mo ago #64 2026-04-20
- 9 mo ago #36 2026-01-19
- 12 mo ago #43 2025-10-20
Player Metrics
Pierre-Hugues Herbert
Sebastian Baez
Recent Matches
Pierre-Hugues Herbert
- Last Match: vs Maxim Mrva (2-1) hard Marseille 110 min
- 2nd Last Match: vs Jurij Rodionov (2-1) hard Marseille 134 min
- 3rd Last Match: vs Lorenzo Sonego (1-2) hard Winston Salem 159 min
- 4th Last Match: vs Quinn Vandecasteele (1-2) hard Winston Salem 150 min
- 5th Last Match: vs Kenta Miyoshi (2-1) hard Winston Salem 128 min
Sebastian Baez
- Last Match: vs Valentin Vacherot (0-2) hard Shanghai 86 min
- 2nd Last Match: vs Marcos Giron (2-1) hard Shanghai 116 min
- 3rd Last Match: vs Juncheng Shang (1-2) hard Beijing 160 min
- 4th Last Match: vs Jenson Brooksby (0-2) hard Chengdu 102 min
- 5th Last Match: vs Brandon Nakashima (0-3) hard Us Open 174 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
Pierre-Hugues Herbert
Expected 6.6 aces
Sebastian Baez
Expected 3.5 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
Pierre-Hugues Herbert
Expected 5.0 double faults
Sebastian Baez
Expected 2.7 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 (Pierre-Hugues Herbert's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
Get Daily Tennis Predictions
Enjoyed this analysis? Subscribe to our Telegram channel and receive daily AI-driven tennis predictions directly on your phone.
Join Our Telegram Channel