Brandon Nakashima vs Jan-Lennard Struff: AI Prediction | Games, Spread, Aces & Double Faults
Why the Model Favors Brandon Nakashima
The factors that drove this prediction, measured in win-probability points.
Starting from an even matchup, these factors move the model to 85% for Brandon Nakashima. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →
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Set it upRanking Trends
Brandon Nakashima
- Current #31 2026-06-29
- 3 mo ago #33 2026-03-30
- 6 mo ago #35 2025-12-29
- 9 mo ago #32 2025-09-29
- 12 mo ago #34 2025-06-30
Jan-Lennard Struff
- Current #74 2026-06-29
- 3 mo ago #75 2026-03-30
- 6 mo ago #83 2025-12-29
- 9 mo ago #98 2025-09-29
- 12 mo ago #125 2025-06-30
Player Metrics
Brandon Nakashima
Jan-Lennard Struff
Recent Matches
Brandon Nakashima
- Last Match: vs Jack Pinnington Jones (3-0) grass Wimbledon 174 min
- 2nd Last Match: vs Francisco Cerundolo (1-2) grass London 161 min
- 3rd Last Match: vs Alex de Minaur (2-0) grass London 92 min
- 4th Last Match: vs Ignacio Buse (2-0) grass London 77 min
- 5th Last Match: vs Marton Fucsovics (2-0) grass London 71 min
Jan-Lennard Struff
- Last Match: vs Sebastian Baez (3-2) grass Wimbledon 174 min
- 2nd Last Match: vs Nuno Borges (0-2) grass Mallorca 81 min
- 3rd Last Match: vs Martin Landaluce (2-1) grass Mallorca 115 min
- 4th Last Match: vs Alexander Bublik (1-2) grass Stuttgart 103 min
- 5th Last Match: vs Alexis Galarneau (2-1) grass Stuttgart 126 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 (Brandon Nakashima's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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