Cincinnati OH, U.S.A. Hard Masters 1000 Round of 64

Miomir Kecmanovic vs Flavio Cobolli: AI Prediction | Games, Spread, Aces & Double Faults

Miomir Kecmanovic

Rank: #62
41%
VS

Flavio Cobolli

Rank: #8
59%
Expected Total Games: 23.4
Predicted Winner: Flavio Cobolli

Why the Model Favors Flavio Cobolli

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

Overall strength +4.8 Flavio Cobolli
Recent form +3.7 Miomir Kecmanovic
Overall record & opposition quality +2.5 Flavio Cobolli
Surface fit +2.0 Flavio Cobolli
Serve & return game +0.7 Flavio Cobolli

Starting from an even matchup, these factors move the model to 59% 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

Miomir Kecmanovic

Form Index: 44.0
ELO Rating: 1605.0
Glicko2 Rating: 1606.1
Current Fatigue (minutes): 87.0
Surface Strength:
Hard: 21.7
Clay: 12.8
Grass: 15.9
Serve Rating: 96.7
Return Rating: 89.8

Flavio Cobolli

Form Index: 42.6
ELO Rating: 1823.6
Glicko2 Rating: 1827.9
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 22.3
Clay: 37.7
Grass: 33.1
Serve Rating: 94.7
Return Rating: 86.5

Recent Matches

Miomir Kecmanovic

Flavio Cobolli

  • Last Match: vs Yannick Hanfmann (0-2) hard Toronto 129 min
  • 2nd Last Match: vs Roman Andres Burruchaga (0-2) clay Umag 99 min
  • 3rd Last Match: vs Arthur Fery (0-3) grass Wimbledon 174 min
  • 4th Last Match: vs Alex de Minaur (3-0) grass Wimbledon 174 min
  • 5th Last Match: vs Karen Khachanov (3-2) grass Wimbledon 174 min

Head-to-Head (Last 2 Seasons)

0
Miomir Kecmanovic
vs
2
Flavio Cobolli
Hard
0 - 2
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Cincinnati, Ohio, Round of 64 on hard courts at a Masters 1000 event sets up Miomir Kecmanovic against Flavio Cobolli. The model projects Cobolli as the favorite at 58.77%, with Kecmanovic on 41.23%. The match is expected to be relatively short, about 23.42 total games.

Match Analysis

The model's edge for Flavio Cobolli comes mainly from overall strength and Elo advantage, with a smaller boost from surface fit and recent record against quality opposition. Cobolli sits well above Kecmanovic in rank and Elo. He is ranked 8 versus Kecmanovic at 62, and carries an Elo of 1823.57 against Kecmanovic’s 1605.02. Those factors account for the largest single contributions toward Cobolli in the prediction. Recent form moves slightly toward Kecmanovic. His form index is 43.99 compared with Cobolli’s 42.57, and Kecmanovic arrives having won his Cincinnati opener in straight sets. That win, combined with two hard court matches in Toronto, supports the small form advantage the model assigns to him. Fatigue and surface fit are relevant. Kecmanovic has 87 minutes on court so far this tournament while Cobolli shows zero minutes in this event. Both players show almost identical surface strength indices around 21 to 22, which suggests neither has a clear hard court edge. Serve and return profiles are similar. Kecmanovic’s mean serve index is 96.66 and Cobolli’s 94.72. Mean return indexes are 89.83 and 86.47 respectively. Neither difference exceeds five points, so serve and return are not decisive here. Over the last three matches, Kecmanovic is 2 wins and 1 loss, including a straight sets win in Cincinnati. Cobolli’s recent results show three losses across Toronto, Umag, and Wimbledon.

Total Games Predictions

🎾
Expected Total Games in Match 23.4 Most likely outcome: 23 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Miomir Kecmanovic 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 Miomir Kecmanovic 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 (Miomir Kecmanovic - Flavio Cobolli) -1.1 Most likely spread: -2 (Flavio Cobolli wins 2 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Miomir Kecmanovic versus Flavio Cobolli. Positive values indicate Miomir Kecmanovic 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 Miomir Kecmanovic versus Flavio Cobolli. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for this hard court clash is moderate, with predicted aces at 10.63 for the match. Hard courts typically produce a balanced ace count compared with grass or clay, so that fits the surface context. The double faults prediction is 5.41 expected double faults for the match. No player has a significantly higher serve rating, so the predicted aces and expected double faults reflect balanced serving profiles rather than a single dominant big server.
🎯
Expected Total Aces 10.6 Most likely: 10 aces
Expected Total Double Faults 5.4 Most likely: 5 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Miomir Kecmanovic 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 Miomir Kecmanovic 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 Miomir Kecmanovic versus Flavio Cobolli. The chart shows the predicted probability for each double-fault count.
Cumulative Probability (CDF)

Probability of double faults ≤ X

Cumulative distribution function chart for double faults in Miomir Kecmanovic 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

35.6% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Miomir Kecmanovic's perspective)

0-2 Most likely set score (33.5%)
Probability distribution of the final set score from Miomir Kecmanovic's perspective. Format: BO3.

Final Prediction

Cobolli’s edge comes primarily from overall strength and a higher Elo rating. The key factor to watch will be whether Kecmanovic can convert his slight recent form advantage and superior return index into pressure on Cobolli’s service games.

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