Mariano Navone vs Raphael Collignon: AI Prediction | Games, Spread, Aces & Double Faults
Why the Model Favors Mariano Navone
The factors that drove this prediction, measured in win-probability points.
Starting from an even matchup, these factors move the model to 57% for Mariano Navone. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →
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Set it upRanking Trends
Mariano Navone
- Current #44 2026-08-03
- 3 mo ago #44 2026-05-04
- 6 mo ago #73 2026-02-09
- 9 mo ago #72 2025-11-10
- 12 mo ago #74 2025-08-18
Raphael Collignon
- Current #38 2026-08-03
- 3 mo ago #68 2026-05-04
- 6 mo ago #69 2026-02-09
- 9 mo ago #74 2025-11-10
- 12 mo ago #105 2025-08-18
Player Metrics
Mariano Navone
Raphael Collignon
Recent Matches
Mariano Navone
- Last Match: vs Arthur Fils (0-2) hard Toronto 79 min
- 2nd Last Match: vs Valentin Vacherot (2-1) hard Toronto 124 min
- 3rd Last Match: vs Matteo Berrettini (2-1) hard Toronto 183 min
- 4th Last Match: vs Quentin Halys (0-2) clay Kitzbuhel 86 min
- 5th Last Match: vs Jan-Lennard Struff (2-0) clay Kitzbuhel 64 min
Raphael Collignon
- Last Match: vs Alexei Popyrin (0-2) hard Toronto 74 min
- 2nd Last Match: vs Daniel Altmaier (0-2) clay Kitzbuhel 84 min
- 3rd Last Match: vs Stefanos Tsitsipas (1-2) clay Gstaad 137 min
- 4th Last Match: vs Juan Manuel Cerundolo (2-1) clay Gstaad 146 min
- 5th Last Match: vs Valentin Vacherot (2-1) clay Gstaad 131 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 (Mariano Navone's perspective)
Full distributions as structured data (JSON or CSV)
Final Prediction
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