Matteo Arnaldi vs Raphael Collignon: AI Prediction | Games, Spread, Aces & Double Faults
Matteo Arnaldi
Raphael Collignon
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Set it upRanking Trends
Matteo Arnaldi
- Current #96 2026-05-18
- 3 mo ago #88 2026-02-23
- 6 mo ago #62 2025-11-24
- 9 mo ago #64 2025-08-25
- 12 mo ago #36 2025-05-26
Raphael Collignon
- Current #64 2026-05-18
- 3 mo ago #71 2026-02-23
- 6 mo ago #86 2025-11-24
- 9 mo ago #107 2025-08-25
- 12 mo ago #84 2025-05-26
Player Metrics
Matteo Arnaldi
Raphael Collignon
Recent Matches
Matteo Arnaldi
- Last Match: vs Stefanos Tsitsipas (3-1) clay Roland Garros 174 min
- 2nd Last Match: vs Tallon Griekspoor (3-1) clay Roland Garros 174 min
- 3rd Last Match: vs Rafael Jodar (1-2) clay Rome 121 min
- 4th Last Match: vs Alex de Minaur (2-1) clay Rome 176 min
- 5th Last Match: vs Jaume Munar (2-1) clay Rome 153 min
Raphael Collignon
- Last Match: vs Ben Shelton (3-0) clay Roland Garros 174 min
- 2nd Last Match: vs Aleksandar Vukic (3-0) clay Roland Garros 174 min
- 3rd Last Match: vs Casper Ruud (0-2) clay Geneva 87 min
- 4th Last Match: vs Adrian Mannarino (2-0) clay Geneva 89 min
- 5th Last Match: vs Tommy Paul (1-2) hard Miami 140 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 BO5
Probability of each set-by-set outcome (Matteo Arnaldi's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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