Brandon Nakashima vs Daniil Medvedev: AI Prediction | Games, Spread, Aces & Double Faults
Why the Model Favors Daniil Medvedev
The factors that drove this prediction, measured in win-probability points.
Starting from an even matchup, these factors move the model to 55% for Daniil Medvedev. 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 #22 2026-08-10
- 3 mo ago #32 2026-05-04
- 6 mo ago #29 2026-02-09
- 9 mo ago #33 2025-11-10
- 12 mo ago #32 2025-08-18
Daniil Medvedev
- Current #7 2026-08-10
- 3 mo ago #9 2026-05-04
- 6 mo ago #11 2026-02-09
- 9 mo ago #13 2025-11-10
- 12 mo ago #13 2025-08-18
Player Metrics
Brandon Nakashima
Daniil Medvedev
Recent Matches
Brandon Nakashima
- Last Match: vs Aleksandar Kovacevic (2-0) hard Cincinnati 81 min
- 2nd Last Match: vs Ben Shelton (0-2) hard Toronto 87 min
- 3rd Last Match: vs Rafael Jodar (2-0) hard Toronto 122 min
- 4th Last Match: vs Luciano Darderi (2-0) hard Toronto 77 min
- 5th Last Match: vs Arthur Rinderknech (2-1) hard Toronto 171 min
Daniil Medvedev
- Last Match: vs Marco Trungelliti (2-0) hard Cincinnati 106 min
- 2nd Last Match: vs Botic van de Zandschulp (0-2) hard Toronto 99 min
- 3rd Last Match: vs Jan-Lennard Struff (0-3) grass Wimbledon 174 min
- 4th Last Match: vs Daniel Merida (3-1) grass Wimbledon 174 min
- 5th Last Match: vs Marin Cilic (3-0) 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
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