Monte Carlo Monaco Clay Masters 1000 Round of 64

Arthur Rinderknech vs Karen Khachanov: AI Prediction | Games, Spread, Aces & Double Faults

Arthur Rinderknech

Rank: #27
37%
VS

Karen Khachanov

Rank: #15
63%
Expected Total Games: 24.2
Predicted Winner: Karen Khachanov

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Player Metrics

Arthur Rinderknech

Form Index: 29.3
ELO Rating: 1602.3
Glicko2 Rating: 1618.6
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 57.2
Clay: 39.9
Grass: 44.8
Serve Rating: 86.4
Return Rating: 60.2

Karen Khachanov

Form Index: 36.7
ELO Rating: 1662.2
Glicko2 Rating: 1684.8
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 55.0
Clay: 44.2
Grass: 47.6
Serve Rating: 97.6
Return Rating: 89.7

Recent Matches

Arthur Rinderknech

  • Last Match: vs Terence Atmane (0-2) hard Miami 91 min
  • 2nd Last Match: vs Carlos Alcaraz (1-2) hard Indian Wells 138 min
  • 3rd Last Match: vs Andrey Rublev (0-2) hard Dubai 75 min
  • 4th Last Match: vs Jack Draper (2-1) hard Dubai 146 min
  • 5th Last Match: vs Fabian Marozsan (2-1) hard Dubai 113 min

Karen Khachanov

  • Last Match: vs Martin Landaluce (0-2) hard Miami 93 min
  • 2nd Last Match: vs Roberto Bautista Agut (2-0) hard Miami 73 min
  • 3rd Last Match: vs Joao Fonseca (1-2) hard Indian Wells 135 min
  • 4th Last Match: vs Jenson Brooksby (0-2) hard Dubai 103 min
  • 5th Last Match: vs Alexander Shevchenko (2-1) hard Dubai 132 min

Head-to-Head (Last 2 Seasons)

0
Arthur Rinderknech
vs
0
Karen Khachanov
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Monte Carlo, clay, Round of 64 in a Masters 1000 setting provides a slower, higher-bounce canvas for this clash between Arthur Rinderknech and Karen Khachanov. The model favours Khachanov (63.25%) over Rinderknech (36.75%), with a predicted total of about 24.16 games in the match.

Match Analysis

Khachanov arrives as the higher-ranked player (No. 15 vs No. 27). His form index (36.70) and Elo (1662.19) sit above Rinderknech’s form (29.29) and Elo (1602.29), suggesting a modest edge in recent quality and overall headroom. Both players report zero tournament fatigue, so freshness won’t be a deciding factor on the first day. Their clay surface strength indices are fairly close (Khachanov 44.19, Rinderknech 39.95), implying neither has a pronounced clay-court advantage coming into Monaco. Serve and return profiles tilt clearly towards Khachanov. His mean serve index (97.58) outstrips Rinderknech’s (86.41) by more than 5 points, and his mean return index (89.66) is substantially higher than Rinderknech’s (60.23). That combination gives Khachanov the dual threat of a bigger serve and a stronger ability to pressure his opponent’s service games. Recent form shows Rinderknech on a rough streak—three straight losses (to Atmane, Alcaraz, Rublev)—while Khachanov’s last three matches are mixed: a solid win over Roberto Bautista Agut sandwiched between losses to Martin Landaluce and Joao Fonseca.

Total Games Predictions

🎾
Expected Total Games in Match 24.2 Most likely outcome: 24 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Arthur Rinderknech - Karen Khachanov) +2.6 Most likely spread: +2 (Arthur Rinderknech wins 2 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction sits at roughly 16.54 total for the match, with an expected double faults tally near 4.9. On clay, predicted aces tend to be lower and expected double faults can climb due to longer rallies and the slower bounce; that pattern holds here. Khachanov’s significantly higher serve rating should lift the predicted aces count relative to Rinderknech, while both players could contribute to the expected double faults figure.
🎯
Expected Total Aces 16.5 Most likely: 16 aces
Expected Total Double Faults 4.9 Most likely: 4 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Arthur Rinderknech versus Karen Khachanov. 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 Arthur Rinderknech versus Karen Khachanov. 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 Arthur Rinderknech versus Karen Khachanov. 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 Arthur Rinderknech versus Karen Khachanov. The curve shows the cumulative probability for each double faults threshold.

Final Prediction

Khachanov’s superior serve/return combination and higher Elo give him the clear edge in Monaco, reflected in the 63.25% probability. Watch how Khachanov uses his serve to shorten points and whether Rinderknech can convert return opportunities early—return effectiveness will be the match’s pivotal factor.

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