Wimbledon Great Britain Grass Grand Slam Round of 128

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

Marin Cilic

Rank: #62
17%
VS

Daniil Medvedev

Rank: #9
83%
Expected Total Games: 38.1
Predicted Winner: Daniil Medvedev

Why the Model Favors Daniil Medvedev

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

Recent record by level +11.4 Daniil Medvedev
Overall strength +6.4 Daniil Medvedev
Surface fit +5.9 Daniil Medvedev
Serve & return game +5.2 Daniil Medvedev
Age +3.3 Daniil Medvedev

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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Player Metrics

Marin Cilic

Form Index: 32.5
ELO Rating: 1625.2
Glicko2 Rating: 1710.6
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 28.3
Clay: 11.4
Grass: 18.9
Serve Rating: 96.9
Return Rating: 91.2

Daniil Medvedev

Form Index: 38.9
ELO Rating: 1843.3
Glicko2 Rating: 1914.9
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 52.1
Clay: 28.8
Grass: 23.5
Serve Rating: 96.3
Return Rating: 89.1

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

Head-to-Head (Last 2 Seasons)

0
Marin Cilic
vs
1
Daniil Medvedev
Hard
0 - 0
Clay
0 - 0
Grass
0 - 1

Key Prediction Insights

At Wimbledon in London, Round of 128 on grass, Marin Cilic meets Daniil Medvedev in a first-round clash at a grand slam. The model favors Medvedev (83.27%) over Cilic (16.73%) and projects a relatively short match — about 38.13 total games.

Match Analysis

The model’s edge for Medvedev comes mainly from his superior recent record at higher-level events and overall strength: those two factors alone account for the largest shifts toward him. That aligns with the numbers — Medvedev carries a higher Elo (1843.34 vs 1625.23) and a better form index (38.90 vs 32.45). Surface fit and serve/return metrics also lean to Medvedev; his surface strength index is modestly higher (23.50 to Cilic’s 18.93), and the model gives surface fit and serve/return a combined boost toward him. Both players arrive technically fresh (fatigue 0.0). Serve profiles are very close — Marin’s mean serve index 96.90 versus Daniil’s 96.32 — so neither enjoys a clear serving advantage on paper, and return indices are similarly near (91.24 vs 89.08). Rank difference is notable: Medvedev is ranked 9th while Cilic is 62nd, which reinforces the gap implied by Elo. Recent form: Cilic has one win and two losses in his last three, including a straight-sets loss to Ugo Humbert and a 1–2 loss to Medvedev in s-Hertogenbosch; Medvedev is 2–1 in his last three on grass, dropping a three-setter in Halle but recording two straight-set wins prior.

Total Games Predictions

🎾
Expected Total Games in Match 38.1 Most likely outcome: 38 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Marin Cilic - Daniil Medvedev) -4.6 Most likely spread: -5 (Daniil Medvedev wins 5 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction sits at 21.67 for the match and the expected double faults figure is 9.62. On fast grass, predicted aces tend to be higher because serves skid and spend less time in court; that helps explain the elevated aces prediction here. Neither player has a significantly higher serve rating, so the ace count should reflect two powerful servers rather than dominance by one. This is the expected double faults and aces profile given their serve numbers and the surface.
🎯
Expected Total Aces 21.7 Most likely: 21 aces
Expected Total Double Faults 9.6 Most likely: 9 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Marin Cilic versus Daniil Medvedev. 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 Marin Cilic versus Daniil Medvedev. 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 Marin Cilic versus Daniil Medvedev. 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 Marin Cilic versus Daniil Medvedev. 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

49.4% Predicted: No tiebreak

Exact Score Distribution BO5

Probability of each set-by-set outcome (Marin Cilic's perspective)

0-3 Most likely set score (39.4%)
Probability distribution of the final set score from Marin Cilic's perspective. Format: BO5.

Final Prediction

Medvedev’s edge is driven first and foremost by recent results at higher levels and his overall strength metrics. Watch the early service holds and return returns — on grass, a successful return break early in a set will likely be the decisive swing factor.

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