Halle Germany Grass Atp 500 Round of 32

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

Alexander Zverev

Rank: #3
77%
VS

Vit Kopriva

Rank: #64
23%
Expected Total Games: 24.9
Predicted Winner: Alexander Zverev

Why the Model Favors Alexander Zverev

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

Overall strength +10.8 Alexander Zverev
Recent form +8.8 Alexander Zverev
Serve & return game +8.5 Vit Kopriva
Overall record & opposition quality +5.0 Alexander Zverev
Surface fit +4.9 Alexander Zverev

Starting from an even matchup, these factors move the model to 77% for Alexander Zverev. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Alexander Zverev

Form Index: 52.7
ELO Rating: 2173.3
Glicko2 Rating: 2077.2
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 55.0
Clay: 57.1
Grass: 38.7
Serve Rating: 95.7
Return Rating: 91.1

Vit Kopriva

Form Index: 37.2
ELO Rating: 1654.5
Glicko2 Rating: 1699.9
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 16.0
Clay: 22.0
Grass: 5.9
Serve Rating: 94.1
Return Rating: 88.2

Recent Matches

Alexander Zverev

  • Last Match: vs Flavio Cobolli (3-2) clay Roland Garros 174 min
  • 2nd Last Match: vs Jakub Mensik (3-1) clay Roland Garros 174 min
  • 3rd Last Match: vs Rafael Jodar (3-0) clay Roland Garros 174 min
  • 4th Last Match: vs Jesper de Jong (3-0) clay Roland Garros 174 min
  • 5th Last Match: vs Quentin Halys (3-1) clay Roland Garros 174 min

Vit Kopriva

  • Last Match: vs Martin Landaluce (2-3) clay Roland Garros 174 min
  • 2nd Last Match: vs Corentin Moutet (3-2) clay Roland Garros 174 min
  • 3rd Last Match: vs Felix Auger-Aliassime (0-2) clay Hamburg 85 min
  • 4th Last Match: vs Ugo Humbert (0-2) clay Rome 75 min
  • 5th Last Match: vs Fabian Marozsan (2-0) clay Rome 78 min

Head-to-Head (Last 2 Seasons)

0
Alexander Zverev
vs
0
Vit Kopriva
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At Halle (Germany) in the round of 32 on grass, Alexander Zverev is forecast to beat Vit Kopriva in this ATP 500-level event. The model gives Zverev a 77.03% chance to win versus 22.97% for Kopriva, with an expected total of about 24.9 games in the match.

Match Analysis

The model’s edge for Zverev comes mainly from overall strength (+10.8 percentage points) and recent form (+8.8 points), while Kopriva picks up some credit on serve & return (+8.5 points). Zverev sits at world No. 3 with an Elo of 2173.3 and a form index of 52.7; he arrives fresh with zero minutes of tournament fatigue and a surface strength index of 38.7, indicating a notably better grass fit than Kopriva. Kopriva is ranked 64, has an Elo of 1654.5 and a form index of 37.2, and his surface strength index is only 5.9, which is a clear disadvantage on the fastest court type. Both players bring strong serving tools—Zverev’s mean serve index is 95.67 and Kopriva’s 94.13—so big serves should be a feature, though the margins between their serve and return indices are not large enough to declare a dominant serving disparity. Zverev’s mean return index (91.07) also underlines his all-court competence. Over the last three matches, Zverev has won all three (deep runs at Roland Garros), showing stamina and form in long matches; Kopriva is 1-2 in his last three, with a notable win over Corentin Moutet but recent losses to Landaluce and Auger-Aliassime.

Total Games Predictions

🎾
Expected Total Games in Match 24.9 Most likely outcome: 24 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Alexander Zverev versus Vit Kopriva. 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 Vit Kopriva. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Alexander Zverev - Vit Kopriva) +3.2 Most likely spread: +3 (Alexander Zverev wins 3 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Alexander Zverev versus Vit Kopriva. Positive values indicate Alexander Zverev winning more games, negative values indicate Vit Kopriva winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Alexander Zverev versus Vit Kopriva. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for this grass match is elevated: the model’s predicted aces total is 12.56, reflecting the surface’s favouring of big servers. The expected double faults are modest at 4.53. Given both players’ high serve indices and the speed of grass, the predicted aces should be a defining stat; neither player shows a significantly higher serve rating to singularly drive that count.
🎯
Expected Total Aces 12.6 Most likely: 12 aces
Expected Total Double Faults 4.5 Most likely: 4 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Alexander Zverev versus Vit Kopriva. 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 Vit Kopriva. 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 Vit Kopriva. 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 Vit Kopriva. 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

39.1% Predicted: No tiebreak

Exact Score Distribution BO3

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

2-0 Most likely set score (45.7%)
Probability distribution of the final set score from Alexander Zverev's perspective. Format: BO3.

Final Prediction

Zverev’s advantage is primarily driven by overall strength, supported by superior recent form and a much better surface fit. Watch the serving exchanges and return work early—if Kopriva can convert his serve/return edge into free points, he’s the likeliest upset route.

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