Marin Cilic 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 83% 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
Marin Cilic
- Current #62 2026-06-29
- 3 mo ago #54 2026-03-30
- 6 mo ago #73 2025-12-29
- 9 mo ago #94 2025-09-29
- 12 mo ago #83 2025-06-30
Daniil Medvedev
- Current #9 2026-06-29
- 3 mo ago #10 2026-03-30
- 6 mo ago #13 2025-12-29
- 9 mo ago #18 2025-09-29
- 12 mo ago #9 2025-06-30
Player Metrics
Marin Cilic
Daniil Medvedev
Recent Matches
Marin Cilic
- Last Match: vs Ugo Humbert (0-2) grass London 81 min
- 2nd Last Match: vs Daniil Medvedev (1-2) grass S Hertogenbosch 110 min
- 3rd Last Match: vs Nuno Borges (2-1) grass S Hertogenbosch 138 min
- 4th Last Match: vs Denis Shapovalov (2-1) grass S Hertogenbosch 163 min
- 5th Last Match: vs Moise Kouame (0-3) clay Roland Garros 174 min
Daniil Medvedev
- Last Match: vs Daniel Altmaier (1-2) grass Halle 165 min
- 2nd Last Match: vs Terence Atmane (2-0) grass Halle 85 min
- 3rd Last Match: vs Tomas Martin Etcheverry (2-0) grass Halle 88 min
- 4th Last Match: vs Kamil Majchrzak (0-2) grass S Hertogenbosch 88 min
- 5th Last Match: vs Marin Cilic (2-1) grass S Hertogenbosch 110 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 BO5
Probability of each set-by-set outcome (Marin Cilic's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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