Umag Croatia Clay Atp 250 Round of 16

Flavio Cobolli vs Roman Andres Burruchaga: AI Prediction | Games, Spread, Aces & Double Faults

Flavio Cobolli

Rank: #10
65%
VS

Roman Andres Burruchaga

Rank: #67
35%
Expected Total Games: 23.0
Predicted Winner: Flavio Cobolli

Why the Model Favors Flavio Cobolli

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

Overall strength +6.2 Flavio Cobolli
Surface fit +6.2 Flavio Cobolli
Recent record by level +5.7 Flavio Cobolli
Serve & return game +5.7 Roman Andres Burruchaga
Recent form +3.3 Flavio Cobolli

Starting from an even matchup, these factors move the model to 65% 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

Flavio Cobolli

Form Index: 53.7
ELO Rating: 1896.8
Glicko2 Rating: 1858.8
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 24.6
Clay: 39.9
Grass: 33.1
Serve Rating: 95.5
Return Rating: 92.7

Roman Andres Burruchaga

Form Index: 31.4
ELO Rating: 1570.1
Glicko2 Rating: 1628.3
Current Fatigue (minutes): 71.0
Surface Strength:
Hard: 9.8
Clay: 18.9
Grass: 7.4
Serve Rating: 94.4
Return Rating: 90.7

Recent Matches

Flavio Cobolli

  • Last Match: vs Arthur Fery (0-3) grass Wimbledon 174 min
  • 2nd Last Match: vs Alex de Minaur (3-0) grass Wimbledon 174 min
  • 3rd Last Match: vs Karen Khachanov (3-2) grass Wimbledon 174 min
  • 4th Last Match: vs James Duckworth (3-1) grass Wimbledon 174 min
  • 5th Last Match: vs Mariano Navone (3-1) grass Wimbledon 174 min

Roman Andres Burruchaga

  • Last Match: vs Marco Cecchinato (2-0) clay Umag 71 min
  • 2nd Last Match: vs Alex de Minaur (0-3) grass Wimbledon 174 min
  • 3rd Last Match: vs Arthur Fery (1-2) grass Eastbourne 137 min
  • 4th Last Match: vs Felix Auger-Aliassime (1-3) clay Roland Garros 174 min
  • 5th Last Match: vs Sebastian Baez (2-1) clay Roland Garros 174 min

Head-to-Head (Last 2 Seasons)

0
Flavio Cobolli
vs
0
Roman Andres Burruchaga
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

In Umag, Croatia, on clay and in the round of 16 of an atp_250 event, Flavio Cobolli is favored to progress. The model projects Cobolli to win with a 65.31% probability versus 34.69% for Roman Andres Burruchaga, and it expects roughly 23.02 total games in the match.

Match Analysis

The model’s edge for Cobolli stems primarily from overall strength and clay surface fit: those two factors each contribute +6.2 percentage points to his probability, with recent results at higher levels adding another +5.7 points. Cobolli’s rank (10), higher Elo (1896.8) and stronger form index (53.7) underpin that advantage; his surface strength index (39.9) is also noticeably better than Burruchaga’s (18.9). Cobolli arrives with no cumulative tournament fatigue, which should help on physically demanding slow courts. Burruchaga earns a counterweight from the serve & return game factor, which pushes 5.7 points in his direction. Despite a comparable mean serve index (Cobolli 95.50 vs Burruchaga 94.36) and return indices that are close as well (92.71 vs 90.70), his in-tournament minutes (71) give Cobolli the freshness edge. Recent match form diverges: Cobolli won two tough matches at Wimbledon before a loss to Arthur Fery, while Burruchaga beat Marco Cecchinato in Umag but has two earlier losses on grass. Those results feed the model’s recent-record lift toward Cobolli (+3.3 from recent form).

Total Games Predictions

🎾
Expected Total Games in Match 23.0 Most likely outcome: 23 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Flavio Cobolli - Roman Andres Burruchaga) +0.7 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 Flavio Cobolli versus Roman Andres Burruchaga. Positive values indicate Flavio Cobolli winning more games, negative values indicate Roman Andres Burruchaga winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction is low: the predicted aces for the match sit at 4.9, consistent with clay’s tendency to reduce serve winners. The double faults prediction is higher, with expected double faults around 5.64; fatigue can increase miscues on clay, so Burruchaga’s 71 minutes in-court could push the expected double faults up. Serve ratings are comparable, so any uplift in the predicted aces will likely come from match context rather than a clear serving gap.
🎯
Expected Total Aces 4.9 Most likely: 4 aces
Expected Total Double Faults 5.6 Most likely: 5 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Flavio Cobolli versus Roman Andres Burruchaga. 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 Flavio Cobolli versus Roman Andres Burruchaga. 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 Flavio Cobolli versus Roman Andres Burruchaga. 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 Flavio Cobolli versus Roman Andres Burruchaga. 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

34.3% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Flavio Cobolli's perspective)

2-0 Most likely set score (39.8%)
Probability distribution of the final set score from Flavio Cobolli's perspective. Format: BO3.

Final Prediction

Cobolli’s clear advantage comes from overall strength and better surface fit, supported by higher rank, Elo and freshness. Watch how Burruchaga’s serve-and-return pressure manifests early—if it breaks Cobolli’s rhythm, it’s the most likely route to an upset.

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