Lorenzo Musetti vs Giovanni Mpetshi Perricard: AI Prediction | Games, Spread, Aces & Double Faults
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Set it upRanking 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
Giovanni Mpetshi Perricard
- Current #58 2026-05-04
- 3 mo ago #57 2026-02-02
- 6 mo ago #59 2025-11-03
- 9 mo ago #42 2025-08-04
- 12 mo ago #36 2025-05-05
Player Metrics
Lorenzo Musetti
Giovanni Mpetshi Perricard
Recent Matches
Lorenzo Musetti
- Last Match: vs Jiri Lehecka (0-2) clay Madrid 74 min
- 2nd Last Match: vs Tallon Griekspoor (2-0) clay Madrid 100 min
- 3rd Last Match: vs Hubert Hurkacz (2-0) clay Madrid 110 min
- 4th Last Match: vs Arthur Fils (0-2) clay Barcelona 75 min
- 5th Last Match: vs Corentin Moutet (2-0) clay Barcelona 101 min
Giovanni Mpetshi Perricard
- Last Match: vs Jacob Fearnley (2-1) clay Rome 155 min
- 2nd Last Match: vs Camilo Ugo Carabelli (1-2) hard Miami 112 min
- 3rd Last Match: vs Kamil Majchrzak (1-2) hard Indian Wells 106 min
- 4th Last Match: vs Felix Auger-Aliassime (0-2) hard Dubai 81 min
- 5th Last Match: vs Moez Echargui (2-1) hard Dubai 155 min
Head-to-Head (Last 2 Seasons)
Key Prediction Insights
Match Analysis
Total Games Predictions
Total Games Probability Distribution
Distribution
Probability of each total games outcome
Cumulative Probability (CDF)
Probability of total games ≤ X
Games Spread Predictions
Games Spread Probability Distribution
Distribution
Probability of each games spread outcome
Cumulative Probability (CDF)
Probability of spread ≤ X
Aces and Double Faults Predictions
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
Exact Score Distribution BO3
Probability of each set-by-set outcome (Lorenzo Musetti's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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