Umag Croatia Clay Atp 250 Round of 32

Marko Topo vs Camilo Ugo Carabelli: AI Prediction | Games, Spread, Aces & Double Faults

Marko Topo

Rank: #350
32%
VS

Camilo Ugo Carabelli

Rank: #58
68%
Expected Total Games: 22.5
Predicted Winner: Camilo Ugo Carabelli

Why the Model Favors Camilo Ugo Carabelli

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

Overall strength +5.0 Camilo Ugo Carabelli
Recent record by level +5.0 Camilo Ugo Carabelli
Recent form +3.4 Camilo Ugo Carabelli
Serve & return game +2.7 Camilo Ugo Carabelli
Overall record & opposition quality +1.8 Camilo Ugo Carabelli

Starting from an even matchup, these factors move the model to 68% for Camilo Ugo Carabelli. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Marko Topo

Form Index: 42.5
ELO Rating: 1525.1
Glicko2 Rating: 1547.4
Current Fatigue (minutes): 184.0
Surface Strength:
Hard: 13.2
Clay: 11.6
Grass: 6.4
Serve Rating: 93.9
Return Rating: 95.0

Camilo Ugo Carabelli

Form Index: 33.8
ELO Rating: 1592.6
Glicko2 Rating: 1653.6
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 15.8
Clay: 21.2
Grass: 3.8
Serve Rating: 94.7
Return Rating: 86.5

Recent Matches

Marko Topo

  • Last Match: vs Lukas Neumayer (2-0) clay Umag 135 min
  • 2nd Last Match: vs Pol Martin Tiffon (1-0) clay Umag 49 min
  • 3rd Last Match: vs Hugo Gaston (0-2) clay Hamburg 67 min
  • 4th Last Match: vs Zizou Bergs (0-2) clay Munich 69 min
  • 5th Last Match: vs Marc-Andrea Huesler (0-2) clay Munich 54 min

Camilo Ugo Carabelli

Head-to-Head (Last 2 Seasons)

0
Marko Topo
vs
0
Camilo Ugo Carabelli
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At Umag (Croatia), round of 32 on clay in an ATP 250 event, the model favors Camilo Ugo Carabelli. The prediction: Carabelli 67.63% to win, Marko Topo 32.37%, with an expected 22.51 total games in the match.

Match Analysis

The model’s edge for Carabelli comes mainly from overall strength and recent record by level: his higher Elo and experience against stronger opponents push the probability toward him. Carabelli sits well above Topo in Elo (1592.6 vs 1525.1) and ranking (58 vs 350), and his surface strength index (21.22) is also higher than Topo’s (11.64), reinforcing that overall-strength advantage. The “recent record by level” factor reflects Carabelli’s recent clashes at bigger events — he beat Emilio Nava at Roland Garros and took a competitive match to Andrey Rublev — while Topo’s recent wins at Umag have come at lower-tier opposition. Recent form and serve/return dynamics also favor Carabelli, though the picture is nuanced. Topo has a higher proprietary form index (42.52 vs 33.81) and a notably stronger mean return index (Topo 95.00 vs Carabelli 86.51) — a difference greater than 5 points — which suggests he can pressure Carabelli’s service games on clay. Carabelli’s mean serve is only marginally higher (94.65 vs 93.86), so there isn’t a runaway serving advantage. Fatigue is a factor: Topo has 184 minutes on court in this event while Carabelli is fresh, which could tilt longer rallies and late-game momentum toward the Argentine. Topo’s last three: two wins at Umag (including a 135-minute win over Neumayer) and a loss to Hugo Gaston in Hamburg. Carabelli’s recent sequence: a straight-sets win over Emilio Nava, a loss to Rublev, and a close win at Wimbledon versus Daniel Merida.

Total Games Predictions

🎾
Expected Total Games in Match 22.5 Most likely outcome: 22 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Marko Topo 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 Marko Topo 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 (Marko Topo - Camilo Ugo Carabelli) -3.0 Most likely spread: -4 (Camilo Ugo Carabelli wins 4 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Marko Topo versus Camilo Ugo Carabelli. Positive values indicate Marko Topo 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 Marko Topo versus Camilo Ugo Carabelli. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction is modest: the model’s predicted aces for the match is 6.19, and the double faults prediction is 5.34. On clay, expected aces are lower because the slower surface and high bounce favor returns, while expected double faults can rise in longer matches as players tire. Neither player has a significantly higher serve rating, so the predicted aces total reflects two servers with similar profiles rather than a dominant big-server matchup.
🎯
Expected Total Aces 6.2 Most likely: 6 aces
Expected Total Double Faults 5.3 Most likely: 5 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Marko Topo 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 Marko Topo 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 Marko Topo 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 Marko Topo 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

32.2% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Marko Topo's perspective)

0-2 Most likely set score (48.8%)
Probability distribution of the final set score from Marko Topo's perspective. Format: BO3.

Final Prediction

Carabelli’s edge is driven primarily by overall strength (Elo and ranking) and his recent record at higher-level events. Watch Topo’s return game and the accumulated fatigue — if he converts that return pressure early, he can shorten rallies and force upsets; if Carabelli controls baseline exchanges, his overall-class advantage should carry him through.

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