London Great Britain Grass Atp 500 Round of 32

Botic van de Zandschulp vs Harry Wendelken: AI Prediction | Games, Spread, Aces & Double Faults

Botic van de Zandschulp

Rank: #56
75%
VS

Harry Wendelken

Rank: #224
25%
Expected Total Games: 29.3
Predicted Winner: Botic van de Zandschulp

Why the Model Favors Botic van de Zandschulp

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

Serve & return game +7.3 Botic van de Zandschulp
Overall strength +7.3 Botic van de Zandschulp
Surface fit +6.2 Botic van de Zandschulp
Recent form +3.4 Botic van de Zandschulp
Recent record by level +2.0 Botic van de Zandschulp

Starting from an even matchup, these factors move the model to 75% for Botic van de Zandschulp. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Botic van de Zandschulp

Form Index: 34.5
ELO Rating: 1616.9
Glicko2 Rating: 1691.9
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 24.1
Clay: 16.7
Grass: 10.1
Serve Rating: 95.7
Return Rating: 93.4

Harry Wendelken

Form Index: 38.0
ELO Rating: 1521.2
Glicko2 Rating: 1650.5
Current Fatigue (minutes): 249.0
Surface Strength:
Hard: 11.3
Clay: 7.9
Grass: 9.5
Serve Rating: 95.4
Return Rating: 87.8

Recent Matches

Botic van de Zandschulp

  • Last Match: vs Tallon Griekspoor (1-2) grass S Hertogenbosch 134 min
  • 2nd Last Match: vs Francisco Cerundolo (1-3) clay Roland Garros 174 min
  • 3rd Last Match: vs Karen Khachanov (1-2) clay Rome 148 min
  • 4th Last Match: vs Aleksandar Kovacevic (2-1) clay Rome 127 min
  • 5th Last Match: vs Alexandre Muller (2-0) clay Rome 92 min

Harry Wendelken

  • Last Match: vs Aleksandar Vukic (2-0) grass London 92 min
  • 2nd Last Match: vs Adam Walton (2-1) grass London 157 min
  • 3rd Last Match: vs Luka Pavlovic (1-2) clay Roland Garros 174 min
  • 4th Last Match: vs None (0-0) None None 0 min
  • 5th Last Match: vs None (0-0) None None 0 min

Head-to-Head (Last 2 Seasons)

0
Botic van de Zandschulp
vs
0
Harry Wendelken
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

This round-of-32 grass-court tie in London at a 500-level event pits Botic van de Zandschulp against Harry Wendelken. The model favors van de Zandschulp (74.86%) over Wendelken (25.14%), with a predicted total of about 29.3 games in the match.

Match Analysis

The model's edge for van de Zandschulp stems mainly from two areas: serve & return game and overall strength, with surface fit and recent form also nudging the prediction his way. Van de Zandschulp brings a higher Elo (1616.94 vs 1521.24) and a much stronger ranking (56 to 224), which feeds the “overall strength” advantage. His mean return index (93.39) is notably higher than Wendelken’s (87.76) — a gap greater than five points that supports the model’s view of van de Zandschulp controlling rallies after returns. Both players show very strong serve indices (95.66 vs 95.37), so serving power alone is unlikely to separate them. On surface fit and recent form, van de Zandschulp posts a slightly superior surface strength index (10.14 vs 9.53) and arrives with zero minutes’ fatigue from this event, whereas Wendelken has accumulated 249 minutes on court here. That accumulated court time gives Wendelken match sharpness — he won his last two matches in London — but also raises the fatigue question. Van de Zandschulp’s last three results are all losses (including a recent grass match at s-Hertogenbosch), while Wendelken has two straight wins on grass in this tournament, so recent match outcomes paint a mixed picture despite the model favoring Botic overall.

Total Games Predictions

🎾
Expected Total Games in Match 29.3 Most likely outcome: 29 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Botic van de Zandschulp versus Harry Wendelken. 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 Botic van de Zandschulp versus Harry Wendelken. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Botic van de Zandschulp - Harry Wendelken) +0.6 Most likely spread: 0 (even number of games won)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Botic van de Zandschulp versus Harry Wendelken. Positive values indicate Botic van de Zandschulp winning more games, negative values indicate Harry Wendelken winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Botic van de Zandschulp versus Harry Wendelken. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for the match sits at about 14.9 total, and the predicted double faults are roughly 6.2. Grass is the fastest surface and tends to boost the ace count, which fits this expected aces figure; both players have very high serve ratings that will contribute to that total. Given similar serve indices, neither player alone is expected to dominate the predicted ace count, but van de Zandschulp’s superior return profile could force shorter service holds and influence the expected double faults.
🎯
Expected Total Aces 14.9 Most likely: 14 aces
Expected Total Double Faults 6.2 Most likely: 6 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Botic van de Zandschulp versus Harry Wendelken. 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 Botic van de Zandschulp versus Harry Wendelken. 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 Botic van de Zandschulp versus Harry Wendelken. 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 Botic van de Zandschulp versus Harry Wendelken. 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

43.4% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Botic van de Zandschulp's perspective)

2-0 Most likely set score (40.9%)
Probability distribution of the final set score from Botic van de Zandschulp's perspective. Format: BO3.

Final Prediction

Van de Zandschulp’s edge comes primarily from the model’s top driver — the serve & return game — reinforced by higher overall strength and a slight surface fit advantage. The key factor to watch will be his return effectiveness against Wendelken’s serve, especially if fatigue affects Wendelken late in rallies.

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