Wimbledon Great Britain Grass Grand Slam Round of 32

Karen Khachanov vs Flavio Cobolli: AI Prediction | Games, Spread, Aces & Double Faults

Karen Khachanov

Rank: #22
54%
VS

Flavio Cobolli

Rank: #10
46%
Expected Total Games: 36.8
Predicted Winner: Karen Khachanov

Why the Model Favors Karen Khachanov

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

Serve & return game +9.3 Karen Khachanov
Recent record by level +6.3 Karen Khachanov
Overall record & opposition quality +3.5 Flavio Cobolli
Age +2.6 Flavio Cobolli
Overall strength +2.2 Flavio Cobolli

Starting from an even matchup, these factors move the model to 54% for Karen Khachanov. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

Also available in Claude. Query these predictions in plain language — our native connector lets Claude call our models on demand, no code.

Set it up

Player Metrics

Karen Khachanov

Form Index: 54.9
ELO Rating: 1732.0
Glicko2 Rating: 1705.8
Current Fatigue (minutes): 348.0
Surface Strength:
Hard: 24.3
Clay: 26.2
Grass: 34.0
Serve Rating: 97.1
Return Rating: 93.8

Flavio Cobolli

Form Index: 68.6
ELO Rating: 1914.8
Glicko2 Rating: 1855.5
Current Fatigue (minutes): 348.0
Surface Strength:
Hard: 24.5
Clay: 39.9
Grass: 30.7
Serve Rating: 94.9
Return Rating: 86.5

Recent Matches

Karen Khachanov

  • Last Match: vs Yannick Hanfmann (3-0) grass Wimbledon 174 min
  • 2nd Last Match: vs Billy Harris (3-1) grass Wimbledon 174 min
  • 3rd Last Match: vs Ethan Quinn (1-2) grass Halle 120 min
  • 4th Last Match: vs Jesper de Jong (2-3) clay Roland Garros 174 min
  • 5th Last Match: vs Marco Trungelliti (3-1) clay Roland Garros 174 min

Flavio Cobolli

  • Last Match: vs James Duckworth (3-1) grass Wimbledon 174 min
  • 2nd Last Match: vs Mariano Navone (3-1) grass Wimbledon 174 min
  • 3rd Last Match: vs Frances Tiafoe (0-2) grass Halle 84 min
  • 4th Last Match: vs Alexander Zverev (2-3) clay Roland Garros 174 min
  • 5th Last Match: vs Felix Auger-Aliassime (3-1) clay Roland Garros 174 min

Head-to-Head (Last 2 Seasons)

0
Karen Khachanov
vs
0
Flavio Cobolli
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At Wimbledon in Great Britain, Round of 32 on grass, Karen Khachanov is narrowly favoured to beat Flavio Cobolli in this Grand Slam match. The model projects Khachanov to win with a 54.14% probability versus 45.86% for Cobolli, and forecasts about 36.8 total games in the contest.

Match Analysis

The model’s edge for Khachanov comes mainly from his serve & return game (+9.3 percentage points) and his recent results at this level (+6.3 pp). Khachanov’s mean serve index (97.15) and especially his mean return index (93.77) underpin that advantage on grass, where quick points and effective returning can be decisive. Cobolli’s higher overall ranking (10 vs 22) and superior Elo (1914.8 vs 1732.0) push the prediction slightly toward him in other respects: overall record & opposition quality contributes +3.5 pp for Cobolli, and age and overall strength add another small edge (+2.6 pp and +2.2 pp respectively). Looking at form and workload, Cobolli carries a stronger form index (68.59) than Khachanov (54.91), while both have identical reported fatigue in this event (348 minutes). Surface strength indices are low for both players—Khachanov 33.98, Cobolli 30.73—so neither is a grass specialist, but Khachanov’s slight edge there and markedly better return index (difference >5 points) matter on a fast surface. Over the last three matches each, both progressed through Wimbledon with two wins apiece: Khachanov beat Hanfmann (3-0) and Harris (3-1) after a loss at Halle; Cobolli beat Duckworth (3-1) and Navone (3-1) after losing at Halle to Tiafoe.

Total Games Predictions

🎾
Expected Total Games in Match 36.8 Most likely outcome: 36 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Karen Khachanov versus Flavio Cobolli. 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 Karen Khachanov versus Flavio Cobolli. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Karen Khachanov - Flavio Cobolli) -0.6 Most likely spread: -1 (Flavio Cobolli wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Karen Khachanov versus Flavio Cobolli. Positive values indicate Karen Khachanov winning more games, negative values indicate Flavio Cobolli winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Karen Khachanov versus Flavio Cobolli. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction leans toward a relatively high-ace match for grass, with predicted aces around 20.09. Expected double faults are modest at 6.6, reflecting both players’ strong serving profiles. Given grass’s favoring of big, flat serving, the predicted aces and expected double faults align with surface tendencies; Khachanov’s slightly higher serve and return indices could push the ace count up on crucial service games.
🎯
Expected Total Aces 20.1 Most likely: 20 aces
Expected Total Double Faults 6.6 Most likely: 6 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Karen Khachanov versus Flavio Cobolli. 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 Karen Khachanov versus Flavio Cobolli. 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 Karen Khachanov versus Flavio Cobolli. 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 Karen Khachanov versus Flavio Cobolli. 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

49.7% Predicted: No tiebreak

Exact Score Distribution BO5

Probability of each set-by-set outcome (Karen Khachanov's perspective)

3-1 Most likely set score (19.1%)
Probability distribution of the final set score from Karen Khachanov's perspective. Format: BO5.

Final Prediction

Khachanov’s narrow edge is driven chiefly by the serve & return game advantage highlighted by the model. Watch return effectiveness and early break points — they’re likely to decide a close match.

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