Rome Italy Clay Masters 1000 Round of 32

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

Alexander Blockx

Rank: #36
22%
VS

Alexander Zverev

Rank: #3
78%
Expected Total Games: 24.2
Predicted Winner: Alexander Zverev

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Ranking Trends

Alexander Blockx

  • Current #36 2026-05-04
  • 3 mo ago #105 2026-02-02
  • 6 mo ago #102 2025-11-03
  • 9 mo ago #119 2025-08-04
  • 12 mo ago #145 2025-05-05

Alexander Zverev

  • Current #3 2026-05-04
  • 3 mo ago #4 2026-02-02
  • 6 mo ago #3 2025-11-03
  • 9 mo ago #3 2025-08-04
  • 12 mo ago #2 2025-05-05

Player Metrics

Alexander Blockx

Form Index: 77.9
ELO Rating: 1836.7
Glicko2 Rating: 1846.0
Current Fatigue (minutes): 259.0
Surface Strength:
Hard: 13.6
Clay: 33.1
Grass: 6.5
Serve Rating: 95.9
Return Rating: 90.7

Alexander Zverev

Form Index: 65.4
ELO Rating: 2095.2
Glicko2 Rating: 2062.5
Current Fatigue (minutes): 104.0
Surface Strength:
Hard: 54.7
Clay: 48.4
Grass: 38.7
Serve Rating: 95.3
Return Rating: 86.1

Recent Matches

Alexander Blockx
✅ ✅ ❌ ✅ ✅

Alexander Zverev
✅ ❌ ✅ ✅ ✅

Head-to-Head (Last 2 Seasons)

0
Alexander Blockx
vs
1
Alexander Zverev
Hard
0 - 0
Clay
0 - 1
Grass
0 - 0

Key Prediction Insights

Rome, round of 32 on clay at a Masters 1000 event sets up Alexander Blockx vs Alexander Zverev. The model favors Zverev (77.98%) over Blockx (22.02%), with a predicted total of about 24.25 games — pointing to a straight-sets outcome most likely but allowing for one extended set.

Match Analysis

On paper the gap in pedigree is clear: Zverev is world No. 3 with an Elo around 2095, while Blockx sits at No. 36 with an Elo near 1837. Blockx arrives in stronger recent form index (77.90) than Zverev (65.43), but cumulative fatigue tells a different story—Blockx has logged 259 minutes in Rome so far versus Zverev’s 104—an important factor on physically taxing clay. Zverev also enjoys a higher surface strength index (48.42) compared with Blockx’s 33.07, suggesting the German’s clay game projects better over a long week. Serve profiles are very similar: both post mean serve indices near 95, so neither should enjoy a huge serving edge. Blockx’s mean return index (90.71) is marginally ahead of Zverev’s (86.14), which, combined with his recent wins in Rome, shows he can produce pressure on return games. Over their last three matches, Blockx has beaten Federico Cina and Tallon Griekspoor in Rome (both three-setters) and lost to Zverev in Madrid in straight sets; Zverev has a 2–1 split with a straight-sets win over Blockx in Madrid and a comfortable 2–0 victory in Rome over Daniel Altmaier, bookending a loss to Jannik Sinner.

Total Games Predictions

🎾
Expected Total Games in Match 24.2 Most likely outcome: 24 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Cumulative Probability (CDF)

Probability of total games ≤ X

Games Spread Predictions

📈
Expected Games Spread (Alexander Blockx - Alexander Zverev) -2.4 Most likely spread: -3 (Alexander Zverev wins 3 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Cumulative Probability (CDF)

Probability of spread ≤ X

Aces and Double Faults Predictions

Aces prediction for the match sits low — predicted aces total is about 9.27 — consistent with clay’s slower pace. The expected double faults figure is 3.81, so double faults prediction is modestly elevated relative to aces. With serve ratings nearly identical, neither player is likely to dramatically inflate the ace count on clay, reinforcing the lower predicted aces number and the expected double faults given longer rallies and physical wear.
🎯
Expected Total Aces 9.3 Most likely: 9 aces
❌
Expected Total Double Faults 3.8 Most likely: 3 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Cumulative Probability (CDF)

Probability of aces ≤ X

❌ Double Faults Probability Distribution

Distribution

Probability of each double fault count outcome

Cumulative Probability (CDF)

Probability of double faults ≤ X

🎯 Match Format Predictions

Tiebreak Likelihood

Probability that any tiebreak is played in this match

33.5% Predicted: No tiebreak

Exact Score Distribution BO3

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

0-2 Most likely set score (48.3%)
New to probability charts? Learn how to interpret distribution and CDF curves

Final Prediction

Zverev’s edge comes from higher ranking, stronger Elo and markedly fresher legs, plus better clay-specific metrics. The key factor to watch is Blockx’s ability to convert return pressure early—if he can break down Zverev’s service games while managing his fatigue, the upset chances rise; otherwise Zverev should close this out efficiently.

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