Brandon Nakashima vs Tomas Martin Etcheverry: 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 65% for Brandon Nakashima. 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
Brandon Nakashima
- Current #33 2026-07-27
- 3 mo ago #32 2026-04-20
- 6 mo ago #30 2026-01-19
- 9 mo ago #33 2025-10-27
- 12 mo ago #32 2025-07-28
Tomas Martin Etcheverry
- Current #31 2026-07-27
- 3 mo ago #29 2026-04-20
- 6 mo ago #62 2026-01-19
- 9 mo ago #58 2025-10-27
- 12 mo ago #60 2025-07-28
Player Metrics
Brandon Nakashima
Tomas Martin Etcheverry
Recent Matches
Brandon Nakashima
- Last Match: vs Jan-Lennard Struff (2-3) grass Wimbledon 174 min
- 2nd Last Match: vs Jack Pinnington Jones (3-0) grass Wimbledon 174 min
- 3rd Last Match: vs Francisco Cerundolo (1-2) grass London 161 min
- 4th Last Match: vs Alex de Minaur (2-0) grass London 92 min
- 5th Last Match: vs Ignacio Buse (2-0) grass London 77 min
Tomas Martin Etcheverry
- Last Match: vs Alexander Bublik (0-2) clay Kitzbuhel 84 min
- 2nd Last Match: vs Ignacio Buse (2-0) clay Kitzbuhel 103 min
- 3rd Last Match: vs Jurij Rodionov (2-0) clay Kitzbuhel 109 min
- 4th Last Match: vs Daniel Merida (0-2) clay Umag 95 min
- 5th Last Match: vs Lorenzo Sonego (1-3) grass Wimbledon 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 BO3
Probability of each set-by-set outcome (Brandon Nakashima'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