Cincinnati OH, U.S.A. Hard Masters 1000 Round of 128

Mariano Navone vs Raphael Collignon: AI Prediction | Games, Spread, Aces & Double Faults

Mariano Navone

Rank: #44
57%
VS

Raphael Collignon

Rank: #38
43%
Expected Total Games: 24.5
Predicted Winner: Mariano Navone

Why the Model Favors Mariano Navone

The factors that drove this prediction, measured in win-probability points.

Recent record by level +3.9 Mariano Navone
Recent form +2.2 Mariano Navone
Serve & return game +2.1 Mariano Navone
Surface fit +1.3 Mariano Navone
Overall strength +0.7 Mariano Navone

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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Player Metrics

Mariano Navone

Form Index: 45.5
ELO Rating: 1715.0
Glicko2 Rating: 1741.8
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 13.6
Clay: 26.6
Grass: 8.4
Serve Rating: 95.9
Return Rating: 91.7

Raphael Collignon

Form Index: 34.5
ELO Rating: 1658.2
Glicko2 Rating: 1722.5
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 20.5
Clay: 20.8
Grass: 8.9
Serve Rating: 95.6
Return Rating: 85.5

Recent Matches

Mariano Navone

Raphael Collignon

Head-to-Head (Last 2 Seasons)

0
Mariano Navone
vs
0
Raphael Collignon
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Cincinnati, Ohio — Round of 128 on outdoor hard courts at a Masters 1000 event. The model backs Mariano Navone to progress, with a 57.14% chance of victory to Raphael Collignon’s 42.86%, and a predicted total of about 24.46 games in the match.

Match Analysis

The model’s edge for Navone comes mainly from his recent record by level, supported by recent form and serve & return performance. Navone (rank 44) carries a higher Elo (1714.96) and a stronger form index (45.52) than Collignon (rank 38, Elo 1658.16, form 34.52). Both arrive fresh to this match with zero cumulative fatigue. Navone’s surface strength index (13.57) is lower than Collignon’s (20.53), but the model still assigns a small surface-fit edge to Navone — likely because his recent hard-court matches have been at higher event levels. Serve and return numbers favor Navone on returns: his mean return index is 91.68 versus Collignon’s 85.52, a meaningful gap above 5 points that should influence pivotal service games. Serve ratings are nearly identical (Navone 95.95, Collignon 95.64), so expect holds to be contested rather than one player dominating serves. Over the last three matches Navone won two of three in Toronto, including wins over Matteo Berrettini and Valentin Vacherot before a loss to Arthur Fils; Collignon has endured three straight defeats (Popyrin in Toronto, Altmaier in Kitzbühel, Tsitsipas in Gstaad), suggesting form momentum tilts toward Navone.

Total Games Predictions

🎾
Expected Total Games in Match 24.5 Most likely outcome: 24 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Mariano Navone versus Raphael Collignon. The X-axis shows possible total games values and the Y-axis shows the predicted probability percentage for each outcome.
Cumulative Probability (CDF)

Probability of total games ≤ X

Cumulative distribution function chart for total games in Mariano Navone versus Raphael Collignon. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Mariano Navone - Raphael Collignon) +0.3 Most likely spread: 0 (even number of games won)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Mariano Navone versus Raphael Collignon. Positive values indicate Mariano Navone winning more games, negative values indicate Raphael Collignon winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Mariano Navone versus Raphael Collignon. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for this hard-court clash is 9.27 total (predicted aces), with an expected double faults tally of about 7.23 (double faults prediction). Hard courts typically produce a moderate ace count compared with grass or clay, so these predicted aces are in line with the surface. Neither server shows a significantly higher serve index, so the ace count will likely be shared rather than one-sided.
🎯
Expected Total Aces 9.3 Most likely: 9 aces
Expected Total Double Faults 7.2 Most likely: 7 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Mariano Navone versus Raphael Collignon. Higher ace counts are more likely on faster surfaces like grass.
Cumulative Probability (CDF)

Probability of aces ≤ X

Cumulative distribution function chart for total aces in Mariano Navone versus Raphael Collignon. The curve shows the cumulative probability for each aces threshold.

Double Faults Probability Distribution

Distribution

Probability of each double fault count outcome

Probability distribution chart for double faults in Mariano Navone versus Raphael Collignon. The chart shows the predicted probability for each double-fault count.
Cumulative Probability (CDF)

Probability of double faults ≤ X

Cumulative distribution function chart for double faults in Mariano Navone versus Raphael Collignon. The curve shows the cumulative probability for each double faults threshold.

🎯 Match Format Predictions

Tiebreak Likelihood

Probability that any tiebreak is played in this match

33.2% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Mariano Navone's perspective)

2-0 Most likely set score (34.4%)
Probability distribution of the final set score from Mariano Navone's perspective. Format: BO3.

Final Prediction

Navone’s narrow edge is driven primarily by his recent record by level and stronger recent form. Watch the return game — Navone’s superior return index is the decisive factor that could swing close service games and determine the outcome.

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