Roland Garros France Clay Grand Slam Round of 16

Jakub Mensik vs Andrey Rublev: AI Prediction | Games, Spread, Aces & Double Faults

Jakub Mensik

Rank: #28
39%
VS

Andrey Rublev

Rank: #13
61%
Expected Total Games: 42.1
Predicted Winner: Andrey Rublev

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Player Metrics

Jakub Mensik

Form Index: 66.5
ELO Rating: 1866.9
Glicko2 Rating: 1891.7
Current Fatigue (minutes): 522.0
Surface Strength:
Hard: 38.4
Clay: 34.1
Grass: 21.5
Serve Rating: 95.8
Return Rating: 90.9

Andrey Rublev

Form Index: 73.0
ELO Rating: 1870.3
Glicko2 Rating: 1862.2
Current Fatigue (minutes): 522.0
Surface Strength:
Hard: 31.2
Clay: 38.5
Grass: 30.5
Serve Rating: 95.2
Return Rating: 87.2

Recent Matches

Jakub Mensik

  • Last Match: vs Alex de Minaur (2-1) clay Roland Garros 174 min
  • 2nd Last Match: vs Mariano Navone (3-2) clay Roland Garros 174 min
  • 3rd Last Match: vs Titouan Droguet (3-0) clay Roland Garros 174 min
  • 4th Last Match: vs Ignacio Buse (0-1) clay Hamburg 62 min
  • 5th Last Match: vs Jan-Lennard Struff (2-0) clay Hamburg 89 min

Andrey Rublev

  • Last Match: vs Nuno Borges (3-0) clay Roland Garros 174 min
  • 2nd Last Match: vs Camilo Ugo Carabelli (3-1) clay Roland Garros 174 min
  • 3rd Last Match: vs Ignacio Buse (3-1) clay Roland Garros 174 min
  • 4th Last Match: vs Jannik Sinner (0-2) clay Rome 91 min
  • 5th Last Match: vs Nikoloz Basilashvili (2-1) clay Rome 133 min

Head-to-Head (Last 2 Seasons)

0
Jakub Mensik
vs
0
Andrey Rublev
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Roland Garros in Paris, Round of 16 on clay at the 2026 Grand Slam stage sets up Jakub Mensik against Andrey Rublev. The model favors Rublev (61.08%) over Mensik (38.92%), with a predicted total of about 42.1 games in the match.

Match Analysis

Rublev enters this match as the higher-ranked player (13) compared with Mensik (28) and carries a slightly stronger form index (73.00 vs 66.47). Their Elo ratings are almost identical—Rublev 1870.28 to Mensik 1866.87—so margins are fine. Both players show modest clay-specific profiles: Mensik’s surface strength index is 34.08 while Rublev’s is marginally higher at 38.47. Fatigue numbers are equal (522 minutes on court this tournament), indicating neither has a clear freshness advantage. On serve and return metrics both men are strong servers by the supplied indices (Mensik mean serve 95.75, Rublev 95.18) and Mensik posts a superior mean return index (90.89) to Rublev’s (87.25), suggesting Mensik can attack Rublev’s service games effectively. Over their last three matches at Roland Garros, Mensik has edged through a mix of long matches—progressing 3–0, 3–2 and a 2–1 result—demonstrating resilience in extended contests. Rublev’s run has been steadier: 3–0, 3–1 and 3–1, indicating more routine straight-sets control and fewer borderline deciders.

Total Games Predictions

🎾
Expected Total Games in Match 42.1 Most likely outcome: 42 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Jakub Mensik versus Andrey Rublev. 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 Jakub Mensik versus Andrey Rublev. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Jakub Mensik - Andrey Rublev) -1.1 Most likely spread: -2 (Andrey Rublev wins 2 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Jakub Mensik versus Andrey Rublev. Positive values indicate Jakub Mensik winning more games, negative values indicate Andrey Rublev winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Jakub Mensik versus Andrey Rublev. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for this clay encounter sits at about 20.12 total aces, while the predicted double faults total is roughly 6.89. On clay, expected aces are naturally suppressed by slower bounce and longer reaction time, so the predicted aces figure reflects a moderate serving output rather than a barrage. Expected double faults may creep up as rallies and match length take a toll; with both players’ serve ratings close, no single player dominates the predicted aces count.
🎯
Expected Total Aces 20.1 Most likely: 20 aces
Expected Total Double Faults 6.9 Most likely: 6 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Jakub Mensik versus Andrey Rublev. 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 Jakub Mensik versus Andrey Rublev. 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 Jakub Mensik versus Andrey Rublev. 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 Jakub Mensik versus Andrey Rublev. 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

56.6% Predicted: Tiebreak likely

Exact Score Distribution BO5

Probability of each set-by-set outcome (Jakub Mensik's perspective)

0-3 Most likely set score (26.4%)
Probability distribution of the final set score from Jakub Mensik's perspective. Format: BO5.

Final Prediction

Rublev’s edge comes from a marginally better form index, slightly superior clay strength and more convincing recent scorelines, which tilt the probability in his favor. The key factor to watch is Mensik’s high return ability—if he can convert that edge into breaks early, he can force a much tighter contest.

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