Kamil Majchrzak vs Tommy Paul: AI Prediction | Games, Spread, Aces & Double Faults
Why the Model Favors Tommy Paul
The factors that drove this prediction, measured in win-probability points.
Starting from an even matchup, these factors move the model to 81% for Tommy Paul. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →
Also available in Claude. Query these predictions in plain language — our native connector lets Claude call our models on demand, no code.
Set it upRanking Trends
Kamil Majchrzak
- Current #72 2026-07-27
- 3 mo ago #74 2026-04-20
- 6 mo ago #59 2026-01-19
- 9 mo ago #70 2025-10-27
- 12 mo ago #81 2025-07-28
Tommy Paul
- Current #21 2026-07-27
- 3 mo ago #18 2026-04-20
- 6 mo ago #20 2026-01-19
- 9 mo ago #20 2025-10-27
- 12 mo ago #15 2025-07-28
Player Metrics
Kamil Majchrzak
Tommy Paul
Recent Matches
Kamil Majchrzak
- Last Match: vs Zachary Svajda (2-3) grass Wimbledon 174 min
- 2nd Last Match: vs Alejandro Tabilo (3-0) grass Wimbledon 174 min
- 3rd Last Match: vs Jiri Lehecka (0-2) grass London 112 min
- 4th Last Match: vs Alex De Minaur (2-1) grass S Hertogenbosch 145 min
- 5th Last Match: vs Daniil Medvedev (2-0) grass S Hertogenbosch 88 min
Tommy Paul
- Last Match: vs Hubert Hurkacz (1-3) grass Wimbledon 174 min
- 2nd Last Match: vs Soonwoo Kwon (3-0) grass Wimbledon 174 min
- 3rd Last Match: vs Alexandre Muller (3-0) grass Wimbledon 174 min
- 4th Last Match: vs Francisco Cerundolo (1-2) grass London 182 min
- 5th Last Match: vs Ugo Humbert (2-0) grass London 77 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
Double Faults Probability Distribution
Distribution
Probability of each double fault count outcome
Cumulative Probability (CDF)
Probability of double faults ≤ X
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 (Kamil Majchrzak'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