Monte Carlo Monaco Clay Masters 1000 Semifinals

Carlos Alcaraz vs Valentin Vacherot: AI Prediction | Games, Spread, Aces & Double Faults

Carlos Alcaraz

Rank: #1
86%
VS

Valentin Vacherot

Rank: #23
14%
Expected Total Games: 22.8
Predicted Winner: Carlos Alcaraz

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Player Metrics

Carlos Alcaraz

Form Index: 58.5
ELO Rating: 2469.9
Glicko2 Rating: 2665.5
Current Fatigue (minutes): 275.0
Surface Strength:
Hard: 73.7
Clay: 67.6
Grass: 68.0
Serve Rating: 59.1
Return Rating: 70.2

Valentin Vacherot

Form Index: 87.4
ELO Rating: 1823.0
Glicko2 Rating: 1788.5
Current Fatigue (minutes): 590.0
Surface Strength:
Hard: 60.2
Clay: 45.5
Grass: 42.6
Serve Rating: 98.4
Return Rating: 89.0

Recent Matches

Carlos Alcaraz

Valentin Vacherot

  • Last Match: vs Alex de Minaur (2-1) clay Monte Carlo 144 min
  • 2nd Last Match: vs Hubert Hurkacz (2-1) clay Monte Carlo 173 min
  • 3rd Last Match: vs Lorenzo Musetti (2-0) clay Monte Carlo 129 min
  • 4th Last Match: vs Juan Manuel Cerundolo (2-1) clay Monte Carlo 144 min
  • 5th Last Match: vs Arthur Fils (1-2) hard Miami 133 min

Head-to-Head (Last 2 Seasons)

0
Carlos Alcaraz
vs
0
Valentin Vacherot
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Semifinal at Monte Carlo (Monaco), a Masters 1000 event played on clay — a surface that rewards patience and movement. Carlos Alcaraz is the clear favorite: the model gives him an 85.79% chance to win versus 14.21% for Valentin Vacherot, with a relatively low expected total of 22.81 games, suggesting a straight-sets victory is likely.

Match Analysis

Alcaraz brings the top ranking, a commanding Elo (2469.86) and a higher surface strength on clay (67.64) compared with Vacherot (45.49), and has spent a modest 275 minutes on court this week. Vacherot, despite being ranked 23, posts a notably higher form index (87.36) than Alcaraz (58.48) — his run here has been impressive but costly: he has accumulated 590 minutes on court. The fatigue gap is stark and will be relevant on physically demanding clay. Serve and return metrics diverge sharply: Vacherot’s mean serve index (98.39) is far above Alcaraz’s (59.06), a difference well over 5 points, and his mean return index (88.97) also exceeds Alcaraz’s (70.22) by more than 5 points. Those gaps highlight Vacherot’s current serving and returning numbers on paper, but must be read against Alcaraz’s superior Elo, clay comfort and lower tournament fatigue. Over their last three matches here both players are unbeaten: Alcaraz with wins over Bublik, Etcheverry and Baez (mix of straight sets and a three-set battle), Vacherot with back-to-back long wins over de Minaur, Hurkacz and Musetti — excellent results but heavy minute totals.

Total Games Predictions

🎾
Expected Total Games in Match 22.8 Most likely outcome: 22 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Carlos Alcaraz versus Valentin Vacherot. 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 Carlos Alcaraz versus Valentin Vacherot. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Carlos Alcaraz - Valentin Vacherot) +4.6 Most likely spread: +5 (Carlos Alcaraz wins 5 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Carlos Alcaraz versus Valentin Vacherot. Positive values indicate Carlos Alcaraz winning more games, negative values indicate Valentin Vacherot winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Carlos Alcaraz versus Valentin Vacherot. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

An aces prediction of 10.68 and predicted aces skew toward Vacherot’s big-serve profile, yet clay tends to suppress serving numbers, so those predicted aces may be lower than on faster surfaces. The double faults prediction (expected double faults 5.32) accounts for the surface and the fatigue both players show this week; Vacherot’s accumulated minutes make him the likelier source of late-match errors. This double faults prediction and the aces prediction should be read together when assessing service dynamics.
🎯
Expected Total Aces 10.7 Most likely: 10 aces
Expected Total Double Faults 5.3 Most likely: 5 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Carlos Alcaraz versus Valentin Vacherot. 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 Carlos Alcaraz versus Valentin Vacherot. 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 Carlos Alcaraz versus Valentin Vacherot. 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 Carlos Alcaraz versus Valentin Vacherot. The curve shows the cumulative probability for each double faults threshold.

Final Prediction

Alcaraz’s edge comes from superior ranking, Elo and clay-specific strength combined with fresher legs; those factors outweigh Vacherot’s eye-catching serve and current form. The key factor to watch is whether Vacherot’s heavy serve can produce quick points on clay despite his fatigue, or whether Alcaraz’s all-court game and movement will impose the breaks needed to finish the match swiftly.

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