Halle Germany Grass Atp 500 Quarterfinals

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

Alexander Zverev

Rank: #3
88%
VS

Raphael Collignon

Rank: #51
12%
Expected Total Games: 25.6
Predicted Winner: Alexander Zverev

Why the Model Favors Alexander Zverev

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

Overall strength +15.7 Alexander Zverev
Surface fit +9.3 Alexander Zverev
Serve & return game +8.9 Alexander Zverev
Recent record by level +8.4 Alexander Zverev
Overall record & opposition quality +3.2 Alexander Zverev

Starting from an even matchup, these factors move the model to 88% 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: 77.3
ELO Rating: 2170.4
Glicko2 Rating: 2072.6
Current Fatigue (minutes): 210.0
Surface Strength:
Hard: 53.3
Clay: 57.0
Grass: 39.6
Serve Rating: 97.8
Return Rating: 94.9

Raphael Collignon

Form Index: 65.6
ELO Rating: 1705.6
Glicko2 Rating: 1761.2
Current Fatigue (minutes): 311.0
Surface Strength:
Hard: 23.4
Clay: 17.3
Grass: 14.1
Serve Rating: 95.6
Return Rating: 86.6

Recent Matches

Alexander Zverev

  • Last Match: vs Yannick Hanfmann (2-0) grass Halle 81 min
  • 2nd Last Match: vs Vit Kopriva (2-1) grass Halle 129 min
  • 3rd Last Match: vs Flavio Cobolli (3-2) clay Roland Garros 174 min
  • 4th Last Match: vs Jakub Mensik (3-1) clay Roland Garros 174 min
  • 5th Last Match: vs Rafael Jodar (3-0) clay Roland Garros 174 min

Raphael Collignon

  • Last Match: vs Mattia Bellucci (2-1) grass Halle 115 min
  • 2nd Last Match: vs Alexei Popyrin (2-0) grass Halle 65 min
  • 3rd Last Match: vs Roberto Bautista Agut (2-0) grass Halle 71 min
  • 4th Last Match: vs Aziz Dougaz (2-0) grass Halle 60 min
  • 5th Last Match: vs Matteo Arnaldi (2-3) clay Roland Garros 174 min

Head-to-Head (Last 2 Seasons)

0
Alexander Zverev
vs
0
Raphael Collignon
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Quarterfinals in Halle, Germany on grass at an ATP 500 event sets up Alexander Zverev vs Raphael Collignon. The model strongly favors Zverev (87.81%) over Collignon (12.19%) and projects a relatively short match — about 25.6 total games (roughly a straight-sets outcome).

Match Analysis

The model’s edge for Zverev comes mainly from overall strength and surface fit: his higher overall standing and superior grass competence drive the gap. Zverev is world No. 3 with a form index of 77.31 and an Elo of 2170.44; Collignon sits at No. 51 with a 65.57 form index and an Elo of 1705.61. Surface strength favors Zverev (39.56 vs 14.15), which is worth noting on fast grass where low skidding bounces reward players who combine serve power and clean court movement. Recent-record-by-level also leans Zverev, reflecting more consistent results against top opposition. Serve & return dynamics further tilt to Zverev. Both players have high serve indices (Zverev 97.80, Collignon 95.64) so neither is easily broken, but Zverev’s mean return index (94.87) is notably higher than Collignon’s (86.59) — a gap that suggests Zverev will be more likely to create break chances despite both serving well. Fatigue is another factor: Zverev has spent 210 minutes on court so far in Halle versus Collignon’s 311, so the Belgian’s deeper run has cost him minutes. Over their last three matches at this event, Zverev has three wins (Halle wins over Hanfmann and Kopriva plus a clay win at Roland Garros), while Collignon arrives unbeaten in three Halle matches (Bellucci, Popyrin, Bautista Agut), but against lower-ranked opposition overall.

Total Games Predictions

🎾
Expected Total Games in Match 25.6 Most likely outcome: 25 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Alexander Zverev - Raphael Collignon) +4.3 Most likely spread: +5 (Alexander Zverev wins 5 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction is high on grass: the model’s predicted aces for the match are 16.8, reflecting the fast surface and two strong servers. The double faults prediction sits at an expected double faults total of about 6.27 for the match. Given Zverev’s slightly superior serve and much stronger return game, the predicted aces may be split in his favor while Collignon’s heavier minutes could inflate his double fault risk.
🎯
Expected Total Aces 16.8 Most likely: 16 aces
Expected Total Double Faults 6.3 Most likely: 6 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Alexander Zverev versus Raphael Collignon. 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 Raphael Collignon. 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 Raphael Collignon. 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 Raphael Collignon. 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

38.0% Predicted: No tiebreak

Exact Score Distribution BO3

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

2-0 Most likely set score (58.6%)
Probability distribution of the final set score from Alexander Zverev's perspective. Format: BO3.

Final Prediction

Zverev’s clear advantage is his overall strength (the top model key factor), reinforced by better surface fit and a superior return game — the combination that makes him heavy favorite. Key factor to watch: Zverev’s return efficiency on Collignon’s serve; if it holds up, breaks should come and shorten the contest.

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