Taylor Fritz vs Daniel Merida: AI Prediction | Games, Spread, Aces & Double Faults
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 63% 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 #9 2026-08-10
- 3 mo ago #7 2026-05-04
- 6 mo ago #7 2026-02-09
- 9 mo ago #6 2025-11-10
- 12 mo ago #4 2025-08-18
Daniel Merida
- Current #40 2026-08-10
- 3 mo ago #86 2026-05-04
- 6 mo ago #152 2026-02-09
- 9 mo ago #172 2025-11-10
- 12 mo ago #171 2025-08-18
Player Metrics
Taylor Fritz
Daniel Merida
Recent Matches
Taylor Fritz
- Last Match: vs Alex Michelsen (2-0) hard Cincinnati 85 min
- 2nd Last Match: vs Thiago Agustin Tirante (0-2) hard Toronto 88 min
- 3rd Last Match: vs Brandon Nakashima (2-1) hard Washington 106 min
- 4th Last Match: vs Alex Michelsen (2-1) hard Washington 138 min
- 5th Last Match: vs Kamil Majchrzak (2-0) hard Washington 75 min
Daniel Merida
- Last Match: vs Zizou Bergs (2-0) hard Cincinnati 79 min
- 2nd Last Match: vs Marin Cilic (2-1) hard Cincinnati 99 min
- 3rd Last Match: vs Learner Tien (0-2) hard Toronto 72 min
- 4th Last Match: vs Tallon Griekspoor (2-0) hard Toronto 69 min
- 5th Last Match: vs Alex Michelsen (2-1) hard Toronto 133 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 (Taylor Fritz's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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