S Hertogenbosch Netherlands Grass Atp 250 Quarterfinals

Daniil Medvedev vs Marin Cilic: AI Prediction | Games, Spread, Aces & Double Faults

Daniil Medvedev

Rank: #8
74%
VS

Marin Cilic

Rank: #47
26%
Expected Total Games: 26.4
Predicted Winner: Daniil Medvedev

Why the Model Favors Daniil Medvedev

The factors that drove this prediction, measured in win-probability points.

Surface fit +5.4 Daniil Medvedev
Overall strength +5.2 Daniil Medvedev
Recent record by level +4.5 Daniil Medvedev
Recent form +4.4 Daniil Medvedev
Age +3.2 Daniil Medvedev

Starting from an even matchup, these factors move the model to 74% for Daniil Medvedev. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Daniil Medvedev

Form Index: 42.3
ELO Rating: 1895.8
Glicko2 Rating: 1939.8
Current Fatigue (minutes): 153.0
Surface Strength:
Hard: 52.1
Clay: 28.8
Grass: 24.8
Serve Rating: 96.0
Return Rating: 92.2

Marin Cilic

Form Index: 38.7
ELO Rating: 1652.3
Glicko2 Rating: 1737.2
Current Fatigue (minutes): 301.0
Surface Strength:
Hard: 28.3
Clay: 11.4
Grass: 22.5
Serve Rating: 95.1
Return Rating: 85.2

Recent Matches

Daniil Medvedev

  • Last Match: vs Thijs Boogaard (2-1) grass S Hertogenbosch 153 min
  • 2nd Last Match: vs Adam Walton (2-3) clay Roland Garros 174 min
  • 3rd Last Match: vs Jannik Sinner (1-2) clay Rome 157 min
  • 4th Last Match: vs Martin Landaluce (2-1) clay Rome 143 min
  • 5th Last Match: vs Thiago Agustin Tirante (2-0) clay Rome 82 min

Marin Cilic

  • Last Match: vs Nuno Borges (2-1) grass S Hertogenbosch 138 min
  • 2nd Last Match: vs Denis Shapovalov (2-1) grass S Hertogenbosch 163 min
  • 3rd Last Match: vs Moise Kouame (0-3) clay Roland Garros 174 min
  • 4th Last Match: vs Martin Landaluce (0-2) clay Rome 127 min
  • 5th Last Match: vs Marcos Giron (2-0) clay Rome 106 min

Head-to-Head (Last 2 Seasons)

0
Daniil Medvedev
vs
0
Marin Cilic
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

s‑Hertogenbosch quarterfinal on grass in the Netherlands sets up a high‑stakes clash between Daniil Medvedev and Marin Cilic. The model favors Medvedev to win (73.58% vs 26.42%) with an expected total of about 26.43 games in the match.

Match Analysis

The model’s edge for Medvedev comes mainly from surface fit (+5.4 percentage points), overall strength (+5.2 pp), recent record by level (+4.5 pp), recent form (+4.4 pp) and age (+3.2 pp). Those drivers map onto Medvedev’s higher Elo (1895.8 vs Cilic’s 1652.3), superior form index (42.28 vs 38.68) and a lower cumulative fatigue load here (153 minutes versus Cilic’s 301 minutes), all of which favor fresher legs and sharper baseline play on quick grass. Surface strength indices are comparable (Medvedev 24.80, Cilic 22.48), so the advantage is not about grass pedigree alone but how Medvedev’s overall game translates to the fast court. Serve and return profiles matter on grass: both players post very high mean serve indices (Medvedev 95.98, Cilic 95.09) so neither enjoys a clear serving superiority, but Medvedev holds a meaningful edge on returns — his mean return index is ~92.15 compared to Cilic’s ~85.22, a gap greater than five points that strengthens Medvedev’s break chances. Over the last three matches Medvedev has one win here and two earlier losses at big events, showing mixed results but solid recent form on grass; Cilic arrives with two straight wins in s‑Hertogenbosch after an earlier clay loss, suggesting confidence but heavier minutes in the event.

Total Games Predictions

🎾
Expected Total Games in Match 26.4 Most likely outcome: 26 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Daniil Medvedev versus Marin Cilic. The X-axis shows possible total games values and the Y-axis shows the predicted probability percentage for each outcome.
Cumulative Probability (CDF)

Probability of total games ≤ X

Cumulative distribution function chart for total games in Daniil Medvedev versus Marin Cilic. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Daniil Medvedev - Marin Cilic) +2.4 Most likely spread: +2 (Daniil Medvedev wins 2 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Daniil Medvedev versus Marin Cilic. Positive values indicate Daniil Medvedev winning more games, negative values indicate Marin Cilic winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Daniil Medvedev versus Marin Cilic. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction favors a busy serving day: the match has a predicted aces total of 16.87 and an expected double faults count of 6.67. On fast grass, higher predicted aces are consistent with the surface’s reward for flat, powerful serving; neither player’s serve index is significantly higher, so predicted aces split should come from quick points rather than one dominant server. For double faults prediction, fatigue on Cilic’s side could push that number upward later in matches.
🎯
Expected Total Aces 16.9 Most likely: 16 aces
Expected Total Double Faults 6.7 Most likely: 6 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Daniil Medvedev versus Marin Cilic. Higher ace counts are more likely on faster surfaces like grass.
Cumulative Probability (CDF)

Probability of aces ≤ X

Cumulative distribution function chart for total aces in Daniil Medvedev versus Marin Cilic. The curve shows the cumulative probability for each aces threshold.

Double Faults Probability Distribution

Distribution

Probability of each double fault count outcome

Probability distribution chart for double faults in Daniil Medvedev versus Marin Cilic. Clay surface matches tend to produce more double faults due to fatigue in longer rallies.
Cumulative Probability (CDF)

Probability of double faults ≤ X

Cumulative distribution function chart for double faults in Daniil Medvedev versus Marin Cilic. The curve shows the cumulative probability for each double faults threshold.

🎯 Match Format Predictions

Tiebreak Likelihood

Probability that any tiebreak is played in this match

38.5% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Daniil Medvedev's perspective)

2-0 Most likely set score (47.2%)
Probability distribution of the final set score from Daniil Medvedev's perspective. Format: BO3.

Final Prediction

Medvedev’s projected edge is driven first and foremost by surface fit and overall strength — the top model factor is surface fit (+5.4 pp) reinforced by a superior Elo and fresher legs. Watch Medvedev’s return efficiency early; it’s the single matchup element most likely to decide breaks and swing the quarterfinal.

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