Rome Italy Clay Masters 1000 Round of 128

Alexandre Muller vs Botic van de Zandschulp: AI Prediction | Games, Spread, Aces & Double Faults

Alexandre Muller

Rank: #105
40%
VS

Botic van de Zandschulp

Rank: #54
60%
Expected Total Games: 26.8
Predicted Winner: Botic van de Zandschulp

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Player Metrics

Alexandre Muller

Form Index: 33.2
ELO Rating: 1567.2
Glicko2 Rating: 1593.7
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 15.3
Clay: 17.3
Grass: 10.4
Serve Rating: 95.9
Return Rating: 93.0

Botic van de Zandschulp

Form Index: 39.0
ELO Rating: 1652.9
Glicko2 Rating: 1719.9
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 23.9
Clay: 14.4
Grass: 11.0
Serve Rating: 95.0
Return Rating: 88.4

Recent Matches

Alexandre Muller

  • Last Match: vs Jan-Lennard Struff (0-2) clay Madrid 76 min
  • 2nd Last Match: vs Otto Virtanen (0-2) clay Barcelona 75 min
  • 3rd Last Match: vs Max Alcala Gurri (2-0) clay Barcelona 75 min
  • 4th Last Match: vs Corentin Moutet (0-2) clay Monte Carlo 81 min
  • 5th Last Match: vs Matteo Arnaldi (2-1) clay Monte Carlo 153 min

Botic van de Zandschulp

Head-to-Head (Last 2 Seasons)

0
Alexandre Muller
vs
0
Botic van de Zandschulp
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Rome Masters 1000, round of 128 in Italy on clay sets the stage for a baseline-heavy encounter between Alexandre Muller and Botic van de Zandschulp. The model favors Botic van de Zandschulp to win (59.72% vs Muller 40.28%), with a predicted total of about 26.8 games in the match.

Match Analysis

Muller (rank 105) comes in with an Elo of 1567.22 and a form index of 33.15, while van de Zandschulp (rank 54) carries a higher Elo of 1652.90 and a slightly stronger form index at 38.96. Both players show zero accumulated minutes of fatigue in this event. On clay their surface strength indexes are low: Muller 17.26 and van de Zandschulp 14.41, indicating neither has a pronounced clay-court specialty by this metric. Serve and return profiles are similar — Muller's mean serve 95.89 versus Botic's 94.95 (difference <5) and Muller's mean return 93.04 versus Botic's 88.37 (difference also <5) — so no clear serve or return dominance emerges from those indices alone. Recent form tells a more nuanced story. Muller has struggled in two of his last three clay matches, dropping straight sets in Madrid to Jan-Lennard Struff and earlier in Barcelona to Otto Virtanen, with a lone win over Max Alcala Gurri in qualifying. Van de Zandschulp has mixed results as well: a solid 2-0 win over Marc-Andrea Huesler in Munich sits beside losses to Francisco Cerundolo in Munich and a long three-set loss to Mariano Navone in Bucharest (211 minutes), suggesting he has been tested on clay but retains a higher baseline level overall.

Total Games Predictions

🎾
Expected Total Games in Match 26.8 Most likely outcome: 26 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Alexandre Muller versus Botic van de Zandschulp. 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 Alexandre Muller versus Botic van de Zandschulp. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Alexandre Muller - Botic van de Zandschulp) +1.8 Most likely spread: +2 (Alexandre Muller wins 2 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Alexandre Muller versus Botic van de Zandschulp. Positive values indicate Alexandre Muller winning more games, negative values indicate Botic van de Zandschulp winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Alexandre Muller versus Botic van de Zandschulp. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for this clay match is modest — a predicted aces total of about 15.34 — reflecting the surface’s tendency to reduce free points. The expected double faults figure is 6.42; clay’s longer rallies and higher bounce often produce more pressure on serve, which factors into this expected double faults projection. Neither player posts a significantly higher serve rating to dramatically skew the predicted aces count.
🎯
Expected Total Aces 15.3 Most likely: 15 aces
Expected Total Double Faults 6.4 Most likely: 6 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Alexandre Muller versus Botic van de Zandschulp. 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 Alexandre Muller versus Botic van de Zandschulp. 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 Alexandre Muller versus Botic van de Zandschulp. 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 Alexandre Muller versus Botic van de Zandschulp. 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

29.4% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Alexandre Muller's perspective)

0-2 Most likely set score (41.6%)
Probability distribution of the final set score from Alexandre Muller's perspective. Format: BO3.

Final Prediction

Van de Zandschulp’s higher ranking, superior Elo and marginally better form give him the edge in Rome. Watch the return exchanges and breakpoint conversion — Muller's strong return index could be the key variable that determines whether this match stays tight or tilts in Botic’s favor.

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