Roland Garros France Clay Grand Slam Round of 128

Emilio Nava vs Camilo Ugo Carabelli: AI Prediction | Games, Spread, Aces & Double Faults

Emilio Nava

Rank: #97
36%
VS

Camilo Ugo Carabelli

Rank: #68
64%
Expected Total Games: 42.0
Predicted Winner: Camilo Ugo Carabelli

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Player Metrics

Emilio Nava

Form Index: 64.1
ELO Rating: 1695.7
Glicko2 Rating: 1662.6
Current Fatigue (minutes): 522.0
Surface Strength:
Hard: 17.0
Clay: 24.2
Grass: 9.3
Serve Rating: 95.7
Return Rating: 89.4

Camilo Ugo Carabelli

Form Index: 38.7
ELO Rating: 1600.4
Glicko2 Rating: 1654.4
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 15.8
Clay: 18.0
Grass: 7.3
Serve Rating: 95.5
Return Rating: 88.0

Recent Matches

Emilio Nava

  • Last Match: vs Pedro Martinez (2-0) clay Roland Garros 174 min
  • 2nd Last Match: vs Thiago Seyboth Wild (2-0) clay Roland Garros 174 min
  • 3rd Last Match: vs Yunchaokete Bu (2-0) clay Roland Garros 174 min
  • 4th Last Match: vs Federico Bondioli (1-2) clay Rome 156 min
  • 5th Last Match: vs Arthur Fils (0-2) clay Madrid 90 min

Camilo Ugo Carabelli

Head-to-Head (Last 2 Seasons)

0
Emilio Nava
vs
0
Camilo Ugo Carabelli
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At Roland Garros in Paris, the opening round on clay pits Emilio Nava against Camilo Ugo Carabelli in a Grand Slam Round of 128 fixture. The model leans to Camilo Ugo Carabelli to take the match (63.64% vs 36.36% for Nava) with a projected total of about 42.02 games.

Match Analysis

This is an intriguing contrast on paper. Camilo Ugo Carabelli arrives as the higher-ranked player (No. 68) while Emilio Nava sits at No. 97. Nava carries the stronger form index (64.13) and a higher Elo (1695.66 versus Carabelli’s 1600.40), suggesting he’s been playing a higher level recently. The clearest separation, however, is fatigue: Nava has accumulated 522 minutes on court at this event, whereas Carabelli shows zero minutes of tournament fatigue, which can be decisive on physically demanding clay. Surface-specific metrics are modest for both: Nava’s surface strength index is 24.23 and Carabelli’s 17.99, indicating neither player is especially favored by clay historically in these proprietary measures. Their serving and returning profiles are nearly identical — mean serve indices of 95.69 and 95.51 and mean return indices of 89.40 and 87.97 respectively — so there’s no large serve or return advantage to exploit. Recent form summaries diverge: Nava has recorded three straight wins at Roland Garros (each a straight-sets result in the provided sample), while Carabelli’s last three matches (from Hamburg) show two wins followed by a loss, reflecting some recent volatility.

Total Games Predictions

🎾
Expected Total Games in Match 42.0 Most likely outcome: 42 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Emilio Nava versus Camilo Ugo Carabelli. 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 Emilio Nava versus Camilo Ugo Carabelli. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Emilio Nava - Camilo Ugo Carabelli) -1.0 Most likely spread: -1 (Camilo Ugo Carabelli wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Emilio Nava versus Camilo Ugo Carabelli. Positive values indicate Emilio Nava winning more games, negative values indicate Camilo Ugo Carabelli winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Emilio Nava versus Camilo Ugo Carabelli. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for this match sits at 13.74 total, with an expected double faults tally of 8.21. On clay, predicted aces tend to be lower because the surface slows the ball and increases bounce, while expected double faults can rise as longer rallies and fatigue set in. Neither player has a significantly higher serve rating to push the predicted aces markedly higher, so the expected numbers reflect two similar servers on a slow surface.
🎯
Expected Total Aces 13.7 Most likely: 13 aces
Expected Total Double Faults 8.2 Most likely: 8 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Emilio Nava versus Camilo Ugo Carabelli. 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 Emilio Nava versus Camilo Ugo Carabelli. 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 Emilio Nava versus Camilo Ugo Carabelli. 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 Emilio Nava versus Camilo Ugo Carabelli. 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

47.6% Predicted: No tiebreak

Exact Score Distribution BO5

Probability of each set-by-set outcome (Emilio Nava's perspective)

0-3 Most likely set score (25.6%)
Probability distribution of the final set score from Emilio Nava's perspective. Format: BO5.

Final Prediction

Carabelli’s edge in the model comes largely from ranking position and the stark absence of accumulated tournament fatigue; those factors outweigh Nava’s stronger form and higher Elo in the projection. The defining variable to watch will be how fatigue affects Nava’s consistency late in rallies and on serve-return exchanges on clay.

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