Wimbledon Great Britain Grass Grand Slam Round of 128

Mariano Navone vs Flavio Cobolli: AI Prediction | Games, Spread, Aces & Double Faults

Mariano Navone

Rank: #38
40%
VS

Flavio Cobolli

Rank: #10
60%
Expected Total Games: 35.3
Predicted Winner: Flavio Cobolli

Why the Model Favors Flavio Cobolli

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

Overall strength +7.3 Flavio Cobolli
Serve & return game +4.1 Mariano Navone
Surface fit +3.6 Flavio Cobolli
Recent form +3.0 Mariano Navone
Recent record by level +2.8 Flavio Cobolli

Starting from an even matchup, these factors move the model to 60% for Flavio Cobolli. 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: 39.0
ELO Rating: 1698.2
Glicko2 Rating: 1753.2
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 6.2
Clay: 29.1
Grass: 10.0
Serve Rating: 96.0
Return Rating: 96.5

Flavio Cobolli

Form Index: 47.1
ELO Rating: 1886.9
Glicko2 Rating: 1844.8
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 24.5
Clay: 39.9
Grass: 27.6
Serve Rating: 95.0
Return Rating: 86.4

Recent Matches

Mariano Navone

  • Last Match: vs Lorenzo Sonego (1-2) grass Mallorca 173 min
  • 2nd Last Match: vs Jakub Mensik (2-3) clay Roland Garros 174 min
  • 3rd Last Match: vs Jenson Brooksby (3-0) clay Roland Garros 174 min
  • 4th Last Match: vs Learner Tien (1-2) clay Geneva 149 min
  • 5th Last Match: vs Casper Ruud (2-0) clay Geneva 101 min

Flavio Cobolli

Head-to-Head (Last 2 Seasons)

0
Mariano Navone
vs
0
Flavio Cobolli
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Wimbledon, Round of 128 on grass — a marquee early test as Mariano Navone meets Flavio Cobolli. The model favors Cobolli to prevail (59.82%) over Navone (40.18%), with an expected total of about 35.3 games in the match.

Match Analysis

The model’s edge for Cobolli comes mainly from overall strength (+7.3 percentage points) and better surface fit (+3.6 pp), while Navone picks up ground from his serve & return profile (+4.1 pp) and recent form (+3.0 pp). Cobolli’s higher Elo (1885.8 vs 1697.5) and superior ranking (No. 10 vs No. 38) underpin the overall-strength advantage, and his surface strength index (27.6) better aligns with grass conditions than Navone’s (10.0). The recent-record-by-level factor (+2.8 pp to Cobolli) also favors him, reflecting stronger results against higher-tier opponents in recent meetings. Navone brings a very strong return metric (mean return index 96.54 vs Cobolli 86.44 — a >10-point gap) that can trouble Cobolli’s service games; that differential is one of the reasons the model grants Navone a non-negligible chance. Serve quality is similar between them (mean serve indices ~96.0 vs 95.0), and both arrive with no tournament fatigue recorded. Over their last three matches Navone has a 1–2 record (a straight-sets win over Brooksby, followed by two three-set losses including a close grass loss in Mallorca), while Cobolli is also 1–2 (a notable clay win over Auger-Aliassime but defeats to Zverev and a straight-sets grass loss to Tiafoe).

Total Games Predictions

🎾
Expected Total Games in Match 35.3 Most likely outcome: 35 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Mariano Navone - Flavio Cobolli) -2.2 Most likely spread: -3 (Flavio Cobolli wins 3 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

Aces prediction: the match is expected to produce about 12.44 total aces; predicted aces are supported by grass as the fastest surface, which tends to lift ace counts. Double faults prediction: the expected double faults total is 8.13. Neither player has a substantially higher serve index, so the ace count may be tempered by Navone’s superior return, which could reduce free points.
🎯
Expected Total Aces 12.4 Most likely: 12 aces
Expected Total Double Faults 8.1 Most likely: 8 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Mariano Navone versus Flavio Cobolli. 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 Flavio Cobolli. 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 Flavio Cobolli. 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 Flavio Cobolli. 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

36.1% Predicted: No tiebreak

Exact Score Distribution BO5

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

0-3 Most likely set score (27.4%)
Probability distribution of the final set score from Mariano Navone's perspective. Format: BO5.

Final Prediction

Cobolli’s edge stems chiefly from overall strength — higher Elo and ranking plus a better grass fit. Watch whether Navone’s standout return game can neutralize Cobolli’s serve holds; that matchup will decide how tight this projected 35-game contest becomes.

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