Rome Italy Clay Masters 1000 Round of 16

Lorenzo Musetti vs Casper Ruud: AI Prediction | Games, Spread, Aces & Double Faults

Lorenzo Musetti

Rank: #10
47%
VS

Casper Ruud

Rank: #25
53%
Expected Total Games: 27.9
Predicted Winner: Casper Ruud

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Ranking Trends

Lorenzo Musetti

  • Current #10 2026-05-04
  • 3 mo ago #5 2026-02-02
  • 6 mo ago #9 2025-11-03
  • 9 mo ago #10 2025-08-04
  • 12 mo ago #9 2025-05-05

Casper Ruud

  • Current #25 2026-05-04
  • 3 mo ago #12 2026-02-02
  • 6 mo ago #10 2025-11-03
  • 9 mo ago #13 2025-08-04
  • 12 mo ago #7 2025-05-05

Player Metrics

Lorenzo Musetti

Form Index: 48.6
ELO Rating: 1883.5
Glicko2 Rating: 1911.6
Current Fatigue (minutes): 220.0
Surface Strength:
Hard: 38.9
Clay: 43.9
Grass: 32.2
Serve Rating: 95.6
Return Rating: 92.6

Casper Ruud

Form Index: 58.1
ELO Rating: 1841.5
Glicko2 Rating: 1828.2
Current Fatigue (minutes): 143.0
Surface Strength:
Hard: 30.6
Clay: 39.2
Grass: 27.4
Serve Rating: 94.9
Return Rating: 83.2

Recent Matches

Lorenzo Musetti
✅ ✅ ❌ ✅ ✅

Casper Ruud
✅ ✅ ❌ ✅ ✅

Head-to-Head (Last 2 Seasons)

0
Lorenzo Musetti
vs
0
Casper Ruud
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

In Rome’s Masters 1000 round of 16 on clay, Lorenzo Musetti meets Casper Ruud in a matchup that pits Italy’s in-form stylist against a steady Norwegian baseliner. The model favors Casper Ruud to win (53.05%) over Musetti (46.95%), with a projected total of about 27.9 games in the match.

Match Analysis

Musetti arrives as the higher-ranked player (No. 10) with a stronger Elo (1883.45) and a marginally better clay surface strength index (43.85) than Ruud (39.22). He also posts a superior mean return index (92.64) compared with Ruud’s 83.22 — a difference larger than five points that underlines Musetti’s ability to apply pressure on opponent serves. Ruud, however, shows better recent form (58.07 vs Musetti’s 48.55) and a solid mean serve index (94.91) nearly identical to Musetti’s (95.57), so there’s no large serving gap to note. Fatigue is a clear contrast: Musetti has logged 220 minutes in Rome versus Ruud’s 143, a substantial workload edge for the Norwegian. Recent formlines mirror that split — both won their first two matches in Rome (Musetti over Cerundolo and Mpetshi Perricard; Ruud over Lehecka and Svajda), while each lost an earlier clay match in Madrid. The combination of Musetti’s better return and Ruud’s fresher legs explains the tight projected outcome.

Total Games Predictions

🎾
Expected Total Games in Match 27.9 Most likely outcome: 28 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Cumulative Probability (CDF)

Probability of total games ≤ X

Games Spread Predictions

📈
Expected Games Spread (Lorenzo Musetti - Casper Ruud) 0.0 Most likely spread: 0 (even number of games won)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Cumulative Probability (CDF)

Probability of spread ≤ X

Aces and Double Faults Predictions

The aces prediction for this clay duel is modest: the model’s predicted aces sit at about 8.38 for the match, reflecting clay’s tendency to suppress serve winners. The double faults prediction (expected double faults ≈ 3.87) also reflects clay’s longer rallies and the potential for cumulative error. Neither player has a significantly higher serve rating to markedly boost the ace count, so the expected numbers stay moderate.
🎯
Expected Total Aces 8.4 Most likely: 8 aces
❌
Expected Total Double Faults 3.9 Most likely: 3 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Cumulative Probability (CDF)

Probability of aces ≤ X

❌ Double Faults Probability Distribution

Distribution

Probability of each double fault count outcome

Cumulative Probability (CDF)

Probability of double faults ≤ X

🎯 Match Format Predictions

Tiebreak Likelihood

Probability that any tiebreak is played in this match

34.4% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Lorenzo Musetti's perspective)

2-0 Most likely set score (32.3%)
New to probability charts? Learn how to interpret distribution and CDF curves

Final Prediction

Ruud’s advantage comes from fresher legs and stronger recent form, which narrowly outweigh Musetti’s higher ranking, Elo and superior return profile. The key factor to watch is Musetti’s return pressure — if it converts into early breaks, he can tilt the tight probability balance.

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