Hamad Medjedovic vs Brandon Nakashima Prediction
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 73% 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
Hamad Medjedovic
- Current #76 2026-10-19
- 3 mo ago #72 2026-07-20
- 6 mo ago #68 2026-04-20
- 9 mo ago #90 2026-01-19
- 12 mo ago #67 2025-10-20
Brandon Nakashima
- Current #17 2026-10-19
- 3 mo ago #32 2026-07-20
- 6 mo ago #32 2026-04-20
- 9 mo ago #30 2026-01-19
- 12 mo ago #32 2025-10-20
Player Metrics
Hamad Medjedovic
Brandon Nakashima
Recent Matches
Hamad Medjedovic
- Last Match: vs Thiago Agustin Tirante (0-2) hard Shanghai 67 min
- 2nd Last Match: vs Kamil Majchrzak (0-3) hard Us Open 174 min
- 3rd Last Match: vs Marco Trungelliti (0-2) hard Cincinnati 124 min
- 4th Last Match: vs Juan Manuel Cerundolo (0-2) hard Toronto 76 min
- 5th Last Match: vs Sebastian Ofner (2-3) grass Wimbledon 174 min
Brandon Nakashima
- Last Match: vs Alexander Bublik (1-2) hard Shanghai 147 min
- 2nd Last Match: vs Matteo Berrettini (2-0) hard Shanghai 111 min
- 3rd Last Match: vs Ugo Humbert (0-2) hard Tokio 70 min
- 4th Last Match: vs Alex Michelsen (0-3) hard Us Open 174 min
- 5th Last Match: vs Sebastian Baez (3-0) hard Us Open 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
Aces by Player
Hamad Medjedovic
Expected 8.4 aces
Brandon Nakashima
Expected 9.8 aces
Double Faults Probability Distribution
Distribution
Probability of each double fault count outcome
Cumulative Probability (CDF)
Probability of double faults ≤ X
Double Faults by Player
Hamad Medjedovic
Expected 3.5 double faults
Brandon Nakashima
Expected 2.0 double faults
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 (Hamad Medjedovic's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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