Cincinnati OH, U.S.A. Hard Masters 1000 Round of 32

Alexander Blockx vs Flavio Cobolli: AI Prediction | Games, Spread, Aces & Double Faults

Alexander Blockx

Rank: #32
52%
VS

Flavio Cobolli

Rank: #10
48%
Expected Total Games: 23.0
Predicted Winner: Alexander Blockx

Why the Model Favors Alexander Blockx

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

Recent form +6.6 Alexander Blockx
Overall strength +4.1 Flavio Cobolli
Recent record by level +3.0 Flavio Cobolli
Overall record & opposition quality +1.9 Flavio Cobolli
Age +1.1 Alexander Blockx

Starting from an even matchup, these factors move the model to 52% for Alexander Blockx. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →

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Player Metrics

Alexander Blockx

Form Index: 48.6
ELO Rating: 1797.4
Glicko2 Rating: 1823.5
Current Fatigue (minutes): 85.0
Surface Strength:
Hard: 15.8
Clay: 32.7
Grass: 5.8
Serve Rating: 96.8
Return Rating: 88.8

Flavio Cobolli

Form Index: 54.9
ELO Rating: 1836.4
Glicko2 Rating: 1833.3
Current Fatigue (minutes): 120.0
Surface Strength:
Hard: 24.6
Clay: 37.7
Grass: 33.1
Serve Rating: 94.7
Return Rating: 86.5

Recent Matches

Alexander Blockx

Flavio Cobolli

  • Last Match: vs Miomir Kecmanovic (2-1) hard Cincinnati 120 min
  • 2nd Last Match: vs Yannick Hanfmann (0-2) hard Toronto 129 min
  • 3rd Last Match: vs Roman Andres Burruchaga (0-2) clay Umag 99 min
  • 4th Last Match: vs Arthur Fery (0-3) grass Wimbledon 174 min
  • 5th Last Match: vs Alex de Minaur (3-0) grass Wimbledon 174 min

Head-to-Head (Last 2 Seasons)

1
Alexander Blockx
vs
0
Flavio Cobolli
Hard
0 - 0
Clay
1 - 0
Grass
0 - 0

Key Prediction Insights

Cincinnati, Ohio. Round of 32 on hard courts at a Masters 1000 event. The model gives Alexander Blockx the narrow edge, 52.11 percent to win, versus Flavio Cobolli at 47.89 percent. The match is projected to be relatively short, with an expected total of 22.97 games.

Match Analysis

The model's edge for Blockx comes mainly from recent form, which pushes 6.6 percentage points his way, and a small age advantage of 1.1 points. Countering that, Cobolli gains ground from overall strength, recent record by level, and overall record and opposition quality, which together move the projection toward him by about 9.0 points. Those trade offs explain the close probability split. Blockx is ranked 32 with a form index of 48.56 and an Elo of 1797.45. Cobolli sits higher at rank 10, with a form index of 54.94 and an Elo of 1836.42. Surface strength favors Cobolli more, 24.57 versus Blockx at 15.84. Fatigue is notable for Cobolli, who has logged 120 tournament minutes versus Blockx at 85 minutes. Serve and return profiles are similar. Blockx posts a mean serve index of 96.75 and a mean return index of 88.78. Cobolli records 94.73 on serve and 86.53 on return. Neither difference exceeds five points, so no clear serving dominance is expected. Over the last three matches Blockx has one win in Cincinnati and two losses in Toronto and Estoril, while Cobolli arrives off a big 120 minute win in Cincinnati but older losses in Toronto and Umag. The form signal for Blockx is recent and positive, while Cobolli’s overall metrics and higher ranking keep him dangerous.

Total Games Predictions

🎾
Expected Total Games in Match 23.0 Most likely outcome: 22 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Alexander Blockx 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 Alexander Blockx 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 (Alexander Blockx - Flavio Cobolli) -0.2 Most likely spread: -1 (Flavio Cobolli wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Aces and Double Faults Predictions

Aces prediction for this match is moderate. The model gives predicted aces at 11.01 and a double faults prediction at 5.81. On hard courts, which favor both servers and returners, these predicted aces are consistent with a medium paced surface. With serve ratings close, no single player is expected to drive a large portion of the ace total.
🎯
Expected Total Aces 11.0 Most likely: 11 aces
Expected Total Double Faults 5.8 Most likely: 5 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Alexander Blockx 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 Alexander Blockx 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 Alexander Blockx 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 Alexander Blockx 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

36.8% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Alexander Blockx's perspective)

0-2 Most likely set score (30.4%)
Probability distribution of the final set score from Alexander Blockx's perspective. Format: BO3.

Final Prediction

Blockx’s recent form is the top factor giving him the slim edge. Watch fatigue and the first set rhythm, as Cobolli’s higher workload and superior surface index are the clearest threats to that projection.

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