Wimbledon Great Britain Grass Grand Slam Round of 64

Karen Khachanov vs Yannick Hanfmann: AI Prediction | Games, Spread, Aces & Double Faults

Karen Khachanov

Rank: #22
57%
VS

Yannick Hanfmann

Rank: #56
43%
Expected Total Games: 37.5
Predicted Winner: Karen Khachanov

Why the Model Favors Karen Khachanov

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

Recent record by level +9.3 Karen Khachanov
Serve & return game +9.3 Yannick Hanfmann
Overall strength +7.7 Karen Khachanov
Recent form +3.7 Yannick Hanfmann
Age +2.9 Karen Khachanov

Starting from an even matchup, these factors move the model to 57% for Karen Khachanov. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Karen Khachanov

Form Index: 46.8
ELO Rating: 1694.1
Glicko2 Rating: 1688.4
Current Fatigue (minutes): 174.0
Surface Strength:
Hard: 24.3
Clay: 26.2
Grass: 32.2
Serve Rating: 97.2
Return Rating: 93.8

Yannick Hanfmann

Form Index: 46.1
ELO Rating: 1676.8
Glicko2 Rating: 1743.1
Current Fatigue (minutes): 174.0
Surface Strength:
Hard: 24.3
Clay: 21.5
Grass: 17.5
Serve Rating: 96.7
Return Rating: 86.8

Recent Matches

Karen Khachanov

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

Yannick Hanfmann

Head-to-Head (Last 2 Seasons)

0
Karen Khachanov
vs
0
Yannick Hanfmann
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At Wimbledon in Great Britain, Round of 64 on grass, Karen Khachanov is narrowly favored in this grand slam meeting. The model gives Khachanov a 56.86% chance to advance versus 43.14% for Yannick Hanfmann, with a predicted total of about 37.47 games.

Match Analysis

The model’s edge for Khachanov is driven primarily by his recent record by level (+9.3 percentage points) and overall strength (+7.7), while Hanfmann gains significant weight from the serve & return game (+9.3) and a small boost from recent form (+3.7). Age adds another +2.9 points toward Khachanov. Translating that into the numbers: Khachanov sits 22 in the rankings with an Elo of 1694.05 and a form index of 46.85; Hanfmann is 56 with an Elo of 1676.79 and a form index of 46.11. Fatigue is equal on paper (174 minutes for each), but Khachanov’s surface strength index on grass (32.23) is noticeably higher than Hanfmann’s (17.50), favoring Khachanov on this fast surface. Serve and return profiles matter here: mean serve indices are very close (Khachanov 97.16 vs Hanfmann 96.67), so neither enjoys a clear serving supremacy, but Khachanov’s mean return index (93.80) is materially higher than Hanfmann’s (86.84) — a gap greater than five points that the model flagged. Recent matches underline the split form lines: Khachanov won his Wimbledon opener against Billy Harris but lost earlier matches at Halle and Roland Garros; Hanfmann also won his Wimbledon opener (against Giovanni Mpetshi Perricard) and had mixed results on Mallorca.

Total Games Predictions

🎾
Expected Total Games in Match 37.5 Most likely outcome: 37 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Karen Khachanov - Yannick Hanfmann) +1.3 Most likely spread: +1 (Karen Khachanov 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 Yannick Hanfmann. Positive values indicate Karen Khachanov winning more games, negative values indicate Yannick Hanfmann winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction for this grass match is elevated: the model’s predicted aces total is 22.35. Expected double faults sit at 6.72. Grass typically produces higher ace counts because of the low, fast bounce; since neither player shows a vastly superior serve rating, the predicted aces are a product of surface pace more than a single dominant server. Khachanov’s stronger return, however, could temper Hanfmann’s service efficiency and influence the final ace tally.
🎯
Expected Total Aces 22.4 Most likely: 22 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 Karen Khachanov versus Yannick Hanfmann. 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 Yannick Hanfmann. 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 Yannick Hanfmann. 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 Yannick Hanfmann. 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

52.6% Predicted: Tiebreak likely

Exact Score Distribution BO5

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

3-0 Most likely set score (22.6%)
Probability distribution of the final set score from Karen Khachanov's perspective. Format: BO5.

Final Prediction

Khachanov’s advantage comes mainly from the model’s top driver, recent record by level, supported by a stronger overall profile and a superior return on grass. Watch the return-versus-serve matchup early: if Khachanov converts return opportunities, he should steer this close match in his favor.

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