Wimbledon Great Britain Grass Grand Slam Round of 128

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

Aleksandar Kovacevic

Rank: #69
56%
VS

Botic van de Zandschulp

Rank: #54
44%
Expected Total Games: 40.1
Predicted Winner: Aleksandar Kovacevic

Why the Model Favors Aleksandar Kovacevic

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

Serve & return game +10.6 Aleksandar Kovacevic
Recent form +4.4 Botic van de Zandschulp
Recent record by level +2.5 Aleksandar Kovacevic
Age +1.7 Aleksandar Kovacevic
Surface fit +1.7 Aleksandar Kovacevic

Starting from an even matchup, these factors move the model to 56% for Aleksandar Kovacevic. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Aleksandar Kovacevic

Form Index: 31.0
ELO Rating: 1535.0
Glicko2 Rating: 1595.1
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 15.7
Clay: 12.9
Grass: 3.5
Serve Rating: 97.4
Return Rating: 89.9

Botic van de Zandschulp

Form Index: 36.5
ELO Rating: 1620.5
Glicko2 Rating: 1693.4
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 23.3
Clay: 16.7
Grass: 10.3
Serve Rating: 95.4
Return Rating: 88.2

Recent Matches

Aleksandar Kovacevic

Botic van de Zandschulp

  • Last Match: vs Tommy Paul (0-2) grass London 101 min
  • 2nd Last Match: vs Harry Wendelken (2-0) grass London 114 min
  • 3rd Last Match: vs Tallon Griekspoor (1-2) grass S Hertogenbosch 134 min
  • 4th Last Match: vs Francisco Cerundolo (1-3) clay Roland Garros 174 min
  • 5th Last Match: vs Karen Khachanov (1-2) clay Rome 148 min

Head-to-Head (Last 2 Seasons)

0
Aleksandar Kovacevic
vs
1
Botic van de Zandschulp
Hard
0 - 0
Clay
0 - 1
Grass
0 - 0

Key Prediction Insights

At Wimbledon in Great Britain, Round of 128 on grass at the grand slam, Aleksandar Kovacevic is marginally favored over Botic van de Zandschulp. The model projects Kovacevic to win with a 55.88% probability versus 44.12% for van de Zandschulp, and expects about 40.08 total games in the match.

Match Analysis

The model's edge for Kovacevic comes mainly from the serve & return game, which moves the prediction 10.6 percentage points in his direction. Kovacevic posts a very strong mean serve index (97.38) and a high mean return index (89.89), metrics that the model treats as particularly valuable on fast grass where service performance is amplified. Recent form pulls slightly the other way: van de Zandschulp’s higher form index (36.47 vs Kovacevic’s 30.95) contributes 4.4 points toward Botic, reflecting steadier results in the immediate run-up to this meeting. Looking at credentials, van de Zandschulp arrives with the higher ranking (54) and the stronger Elo (1620.53 vs 1534.97), and his surface strength index is also superior (10.33 vs 3.54), suggesting a marginally better historical fit to grass. Both players report zero tournament fatigue. Over their last three matches on grass, Kovacevic has struggled (three straight losses, including outings against Altmaier and Cerundolo), while van de Zandschulp is 1-2 with a recent convincing win and two tougher losses. The model also nudges Kovacevic slightly through recent record by level, age and surface-fit factors, but none are decisive on their own.

Total Games Predictions

🎾
Expected Total Games in Match 40.1 Most likely outcome: 40 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Aleksandar Kovacevic - Botic van de Zandschulp) -0.9 Most likely spread: -1 (Botic van de Zandschulp wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

This looks like a match with plenty of free points: the aces prediction for the match is about 21.59 and the expected double faults sit at 10.34. On grass, predicted aces tend to be higher because the surface rewards big, flat serving — an expected aces count that aligns with both players’ strong serve indices. Neither player’s serve rating is dramatically higher, so both should contribute to the total; the double faults prediction reflects some risk when players push for quick holds.
🎯
Expected Total Aces 21.6 Most likely: 21 aces
Expected Total Double Faults 10.3 Most likely: 10 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Aleksandar Kovacevic versus Botic van de Zandschulp. 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 Aleksandar Kovacevic versus Botic van de Zandschulp. 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 Aleksandar Kovacevic versus Botic van de Zandschulp. 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 Aleksandar Kovacevic versus Botic van de Zandschulp. 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

54.5% Predicted: Tiebreak likely

Exact Score Distribution BO5

Probability of each set-by-set outcome (Aleksandar Kovacevic's perspective)

3-1 Most likely set score (19.8%)
Probability distribution of the final set score from Aleksandar Kovacevic's perspective. Format: BO5.

Final Prediction

Kovacevic’s slight advantage is driven primarily by serve & return metrics, the top model key factor. Watch his ability to convert short points on serve and to exploit any short second serves early: that balance will likely decide how comfortably he advances.

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