Marin Cilic vs Nikoloz Basilashvili Prediction
Why the Model Favors Nikoloz Basilashvili
The factors that drove this prediction, measured in win-probability points.
Starting from an even matchup, these factors move the model to 63% for Nikoloz Basilashvili. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →
Also available in Claude and Perplexity. Query these predictions in plain language: our native connector lets your AI assistant call our models on demand, no code.
Set it upRanking Trends
Marin Cilic
- Current #80 2026-10-05
- 3 mo ago #86 2026-07-20
- 6 mo ago #51 2026-04-20
- 9 mo ago #70 2026-01-19
- 12 mo ago #89 2025-10-20
Nikoloz Basilashvili
- Current #124 2026-10-05
- 3 mo ago #130 2026-07-20
- 6 mo ago #120 2026-04-20
- 9 mo ago #105 2026-01-19
- 12 mo ago #96 2025-10-20
Player Metrics
Marin Cilic
Nikoloz Basilashvili
Recent Matches
Marin Cilic
- Last Match: vs Arthur Fery (0-2) hard Shanghai 92 min
- 2nd Last Match: vs Daniel Merida (1-2) hard Cincinnati 99 min
- 3rd Last Match: vs Frances Tiafoe (1-2) hard Toronto 136 min
- 4th Last Match: vs Sho Shimabukuro (2-0) hard Toronto 92 min
- 5th Last Match: vs Daniil Medvedev (0-3) grass Wimbledon 174 min
Nikoloz Basilashvili
- Last Match: vs Adam Walton (2-0) hard Almaty 93 min
- 2nd Last Match: vs Taro Daniel (2-0) hard Almaty 78 min
- 3rd Last Match: vs Adrian Mannarino (0-1) hard Shanghai 47 min
- 4th Last Match: vs Liam Draxl (2-1) hard Shanghai 163 min
- 5th Last Match: vs Andre Ilagan (2-1) hard Shanghai 141 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
Marin Cilic
Expected 8.4 aces
Nikoloz Basilashvili
Expected 8.9 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
Marin Cilic
Expected 3.0 double faults
Nikoloz Basilashvili
Expected 3.6 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 (Marin Cilic'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