Munich Germany Clay Atp 250 Semifinals

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

Alexander Zverev

Rank: #3
72%
VS

Flavio Cobolli

Rank: #16
28%
Expected Total Games: 23.3
Predicted Winner: Alexander Zverev

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Player Metrics

Alexander Zverev

Form Index: 77.5
ELO Rating: 2084.3
Glicko2 Rating: 2060.6
Current Fatigue (minutes): 346.0
Surface Strength:
Hard: 68.5
Clay: 49.5
Grass: 49.5
Serve Rating: 77.3
Return Rating: 67.1

Flavio Cobolli

Form Index: 63.7
ELO Rating: 1709.5
Glicko2 Rating: 1764.6
Current Fatigue (minutes): 245.0
Surface Strength:
Hard: 55.6
Clay: 45.3
Grass: 46.7
Serve Rating: 97.2
Return Rating: 90.6

Recent Matches

Alexander Zverev

Flavio Cobolli

  • Last Match: vs Vit Kopriva (2-0) clay Munich 86 min
  • 2nd Last Match: vs Zizou Bergs (2-0) clay Munich 73 min
  • 3rd Last Match: vs Diego Dedura (2-0) clay Munich 86 min
  • 4th Last Match: vs Alexander Blockx (0-2) clay Monte Carlo 85 min
  • 5th Last Match: vs Francisco Comesana (2-1) clay Monte Carlo 150 min

Head-to-Head (Last 2 Seasons)

2
Alexander Zverev
vs
0
Flavio Cobolli
Hard
0 - 0
Clay
1 - 0
Grass
1 - 0

Key Prediction Insights

In the Munich semifinal on clay, Alexander Zverev is favored to beat Flavio Cobolli in this ATP 250 event held in Germany. The model gives Zverev a 72.46% chance to win versus 27.54% for Cobolli, with a projected total of about 23.3 games in the match.

Match Analysis

Zverev arrives as the clear higher-ranked player (No. 3) with an Elo of 2084 and a strong form index (77.5). He also posts a very solid mean serve index (77.3) and a reliable mean return index (67.1). Cobolli, ranked 16 with an Elo of 1709, shows good form (63.7) but is behind on overall ratings. The mean serve index gap is substantial—Cobolli’s 97.2 versus Zverev’s 77.3—so his serving metrics are markedly higher. The mean return gap is also notable: Cobolli 90.6 against Zverev 67.1, suggesting Cobolli’s shot-making and positioning on return are strong in the data. Fatigue and surface fit are key here. Zverev has accumulated 346 minutes in Munich, with two long matches of 135 and 138 minutes; that workload can sap legs on clay. Cobolli’s tournament minutes are lower (245), and he’s moved through the draw in straighter sets (three wins, all straight sets), conserving energy. Both players have modest surface strength indices (Zverev 49.5, Cobolli 45.3), so neither holds a huge clay-court edge based on the provided metric. Recent form shows both unbeaten in Munich so far, but Zverev’s wins came in tougher, longer encounters while Cobolli’s were quicker and more straightforward.

Total Games Predictions

🎾
Expected Total Games in Match 23.3 Most likely outcome: 23 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Alexander Zverev 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 Zverev 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 Zverev - Flavio Cobolli) -1.4 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 Alexander Zverev versus Flavio Cobolli. Positive values indicate Alexander Zverev 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 Zverev versus Flavio Cobolli. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for the match is modest: the model expects about 11.09 aces overall. Given clay’s slower, higher bounce, predicted aces are restrained even with Cobolli’s high serve rating; his elevated serve index could still lift the matched ace count. The double faults prediction sits at an expected 5.88 double faults for the match, and Zverev’s heavier minutes this week increase the likelihood of fatigue-driven errors.
🎯
Expected Total Aces 11.1 Most likely: 11 aces
Expected Total Double Faults 5.9 Most likely: 5 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Alexander Zverev 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 Zverev 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 Zverev versus Flavio Cobolli. 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 Alexander Zverev versus Flavio Cobolli. The curve shows the cumulative probability for each double faults threshold.

Final Prediction

Zverev’s higher rank, Elo and overall form provide the edge despite heavier court time; his experience in late-stage matches on clay projects well here. Watch Cobolli’s serve and return efficiency—if his big-serve numbers translate on clay early, he can shorten points and force pressure, the single most decisive factor in this semifinal.

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