Adrian Mannarino vs Raphael Collignon: AI Prediction | Games, Spread, Aces & Double Faults
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Set it upRanking Trends
Adrian Mannarino
- Current #45 2026-05-04
- 3 mo ago #49 2026-02-16
- 6 mo ago #69 2025-11-17
- 9 mo ago #73 2025-08-18
- 12 mo ago #129 2025-05-19
Raphael Collignon
- Current #68 2026-05-04
- 3 mo ago #59 2026-02-16
- 6 mo ago #86 2025-11-17
- 9 mo ago #105 2025-08-18
- 12 mo ago #84 2025-05-19
Player Metrics
Adrian Mannarino
Raphael Collignon
Recent Matches
Adrian Mannarino
- Last Match: vs Damir Dzumhur (0-2) clay Rome 90 min
- 2nd Last Match: vs Ignacio Buse (0-2) clay Madrid 83 min
- 3rd Last Match: vs Nuno Borges (0-2) clay Barcelona 82 min
- 4th Last Match: vs Zizou Bergs (0-2) clay Monte Carlo 81 min
- 5th Last Match: vs Daniel Merida (1-2) clay Bucharest 113 min
Raphael Collignon
- Last Match: vs Tommy Paul (1-2) hard Miami 140 min
- 2nd Last Match: vs Flavio Cobolli (2-0) hard Miami 94 min
- 3rd Last Match: vs Grigor Dimitrov (2-1) hard Miami 151 min
- 4th Last Match: vs Joao Fonseca (0-2) hard Indian Wells 102 min
- 5th Last Match: vs Lorenzo Musetti (1-3) hard Australian Open 174 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 (Adrian Mannarino's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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