Brandon Nakashima vs Nikoloz Basilashvili: AI Prediction | Games, Spread, Aces & Double Faults
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Set it upRanking Trends
Brandon Nakashima
- Current #32 2026-05-04
- 3 mo ago #32 2026-02-02
- 6 mo ago #33 2025-11-03
- 9 mo ago #31 2025-08-04
- 12 mo ago #29 2025-05-05
Nikoloz Basilashvili
- Current #117 2026-05-04
- 3 mo ago #137 2026-02-02
- 6 mo ago #108 2025-11-03
- 9 mo ago #112 2025-08-04
- 12 mo ago #157 2025-05-05
Player Metrics
Brandon Nakashima
Nikoloz Basilashvili
Recent Matches
Brandon Nakashima
- Last Match: vs Roberto Bautista Agut (2-0) clay Rome 82 min
- 2nd Last Match: vs Alexander Blockx (1-2) clay Madrid 111 min
- 3rd Last Match: vs Arthur Fils (0-2) clay Barcelona 73 min
- 4th Last Match: vs Juan Manuel Cerundolo (2-0) clay Barcelona 102 min
- 5th Last Match: vs Roman Andres Burruchaga (1-2) clay Houston 127 min
Nikoloz Basilashvili
- Last Match: vs Ben Shelton (2-1) clay Rome 137 min
- 2nd Last Match: vs Daniel Merida (2-1) clay Rome 122 min
- 3rd Last Match: vs Rinky Hijikata (2-0) clay Rome 74 min
- 4th Last Match: vs Elmer Moller (2-1) clay Rome 131 min
- 5th Last Match: vs Sebastian Ofner (0-2) clay Madrid 99 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
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