Kitzbuhel Austria Clay Atp 250 Quarterfinals

Mariano Navone vs Quentin Halys: AI Prediction | Games, Spread, Aces & Double Faults

Mariano Navone

Rank: #47
55%
VS

Quentin Halys

Rank: #83
45%
Expected Total Games: 25.8
Predicted Winner: Mariano Navone

Why the Model Favors Mariano Navone

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

Surface fit +2.7 Mariano Navone
Recent record by level +2.0 Mariano Navone
Age +1.8 Mariano Navone
Overall record & opposition quality +1.4 Quentin Halys
Serve & return game +1.2 Mariano Navone

Starting from an even matchup, these factors move the model to 55% 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: 35.0
ELO Rating: 1682.4
Glicko2 Rating: 1736.7
Current Fatigue (minutes): 144.0
Surface Strength:
Hard: 6.3
Clay: 28.3
Grass: 8.4
Serve Rating: 95.9
Return Rating: 92.0

Quentin Halys

Form Index: 53.2
ELO Rating: 1679.8
Glicko2 Rating: 1700.7
Current Fatigue (minutes): 191.0
Surface Strength:
Hard: 27.0
Clay: 22.7
Grass: 5.4
Serve Rating: 96.5
Return Rating: 82.7

Recent Matches

Mariano Navone

Quentin Halys

Head-to-Head (Last 2 Seasons)

0
Mariano Navone
vs
0
Quentin Halys
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Quarterfinals in Kitzbühel, Austria on clay sees Mariano Navone and Quentin Halys meet for a spot in the semis at this 250-level event. The model gives Navone the narrow edge — 54.5% to Halys’s 45.5% — and projects a relatively short, tight match of about 25.8 total games.

Match Analysis

The model’s edge for Navone comes mainly from surface fit and recent form at this level. Navone’s surface strength index (28.30) is higher than Halys’s (22.67), and his two opening wins in Kitzbühel (straight sets over Struff and Muller) underpin the recent-record boost. Halys has also won his two Kitzbühel matches, but heavier minutes across the event (191 vs 144 cumulative minutes) tilt the fatigue needle toward Navone. The explainability engine also credits age in Navone’s favor at a small margin, and the serve/return matchup nudges toward Navone as well. Looking at the raw numbers: Navone is the higher-ranked player (No. 47 vs No. 83) and carries a slightly superior Elo (1682.4 vs 1679.8). Form indices are mixed — Halys posts a higher form_index (53.22) than Navone (34.99), but Navone’s tournament-specific results matter more to the model. Serve profiles are nearly identical (mean serve index ~95.9 vs 96.5), so there’s no big serving advantage; however Navone’s mean return index (91.97) is markedly better than Halys’s (82.65), a >5-point gap that could decide tight service holds on clay. Over the last three matches each, both players arrive having won two matches at Kitzbühel after an earlier loss on clay (Navone at Bastad, Halys at Gstaad).

Total Games Predictions

🎾
Expected Total Games in Match 25.8 Most likely outcome: 25 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Mariano Navone versus Quentin Halys. 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 Quentin Halys. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Mariano Navone - Quentin Halys) +0.4 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 Quentin Halys. Positive values indicate Mariano Navone winning more games, negative values indicate Quentin Halys winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction for this clay clash is low-to-moderate: the model’s predicted aces total is 11.19. Expected double faults are 5.13. On slow, high-bouncing clay we generally see fewer free points and therefore fewer aces, while long rallies and tournament fatigue can inflate expected double faults late in matches. With serve indices effectively equal, neither player is expected to dramatically skew the predicted aces count.
🎯
Expected Total Aces 11.2 Most likely: 11 aces
Expected Total Double Faults 5.1 Most likely: 5 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Mariano Navone versus Quentin Halys. 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 Quentin Halys. 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 Quentin Halys. Clay surface matches tend to produce more double faults due to fatigue in longer rallies.
Cumulative Probability (CDF)

Probability of double faults ≤ X

Cumulative distribution function chart for double faults in Mariano Navone versus Quentin Halys. 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

38.4% Predicted: No tiebreak

Exact Score Distribution BO3

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

2-0 Most likely set score (31.4%)
Probability distribution of the final set score from Mariano Navone's perspective. Format: BO3.

Final Prediction

Navone’s edge is driven primarily by surface fit and his recent in-tournament results. The matchup to watch is the return game and how Halys manages accumulated court time — if Navone sustains pressure on return, he’s likeliest to convert the narrow advantage.

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