Nicolas Mejia vs Michael Zheng: AI Prediction | Games, Spread, Aces & Double Faults
Why the Model Favors Michael Zheng
The factors that drove this prediction, measured in win-probability points.
Starting from an even matchup, these factors move the model to 69% for Michael Zheng. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →
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Set it upRanking Trends
Nicolas Mejia
- Current #165 2026-06-29
- 3 mo ago #171 2026-03-30
- 6 mo ago #170 2025-12-29
- 9 mo ago #198 2025-09-29
- 12 mo ago #243 2025-06-30
Michael Zheng
- Current #144 2026-06-29
- 3 mo ago #150 2026-03-30
- 6 mo ago #188 2025-12-29
- 9 mo ago #228 2025-09-29
- 12 mo ago #498 2025-06-30
Player Metrics
Nicolas Mejia
Michael Zheng
Recent Matches
Nicolas Mejia
- Last Match: vs Adolfo Daniel Vallejo (3-1) grass Wimbledon 174 min
- 2nd Last Match: vs Tristan Schoolkate (3-0) grass Wimbledon 174 min
- 3rd Last Match: vs Gustavo Heide (2-0) grass Wimbledon 174 min
- 4th Last Match: vs Henrique Rocha (2-1) grass Wimbledon 174 min
- 5th Last Match: vs Christopher O'Connell (0-2) hard Miami 114 min
Michael Zheng
- Last Match: vs Cameron Norrie (3-2) grass Wimbledon 174 min
- 2nd Last Match: vs Colton Smith (3-1) grass Wimbledon 174 min
- 3rd Last Match: vs Laslo Djere (2-0) grass Wimbledon 174 min
- 4th Last Match: vs Henri Squire (2-0) grass Wimbledon 174 min
- 5th Last Match: vs Dino Prizmic (0-3) clay Roland Garros 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
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 BO5
Probability of each set-by-set outcome (Nicolas Mejia's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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