Toronto Canada Hard Masters 1000 Round of 32

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

Botic van de Zandschulp

Rank: #69
38%
VS

Hubert Hurkacz

Rank: #71
62%
Expected Total Games: 26.6
Predicted Winner: Hubert Hurkacz

Why the Model Favors Hubert Hurkacz

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

Recent record by level +5.1 Hubert Hurkacz
Serve & return game +4.5 Hubert Hurkacz
Overall strength +1.6 Hubert Hurkacz
Surface fit +1.2 Hubert Hurkacz
Recent form +1.2 Botic van de Zandschulp

Starting from an even matchup, these factors move the model to 62% for Hubert Hurkacz. 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: 51.5
ELO Rating: 1671.5
Glicko2 Rating: 1711.3
Current Fatigue (minutes): 213.0
Surface Strength:
Hard: 29.3
Clay: 15.4
Grass: 10.1
Serve Rating: 96.0
Return Rating: 90.4

Hubert Hurkacz

Form Index: 75.6
ELO Rating: 1746.1
Glicko2 Rating: 1708.1
Current Fatigue (minutes): 209.0
Surface Strength:
Hard: 21.7
Clay: 23.1
Grass: 20.7
Serve Rating: 96.6
Return Rating: 84.6

Recent Matches

Botic van de Zandschulp

Hubert Hurkacz

Head-to-Head (Last 2 Seasons)

0
Botic van de Zandschulp
vs
0
Hubert Hurkacz
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At the Toronto Masters 1000 on hard courts in the Round of 32, Hubert Hurkacz is favored to progress against Botic van de Zandschulp. The model projects Hurkacz to win with a 62.24% chance versus 37.76% for van de Zandschulp, and expects a relatively short encounter of about 26.61 total games.

Match Analysis

The model’s edge for Hurkacz comes mainly from his recent record at this level and the serve & return matchup. Recent-record-by-level contributed the largest single lift toward Hurkacz (≈5.1 percentage points): Hurkacz arrives with back-to-back wins in Toronto (defeating Alejandro Tabilo and Marcos Giron) while van de Zandschulp has also won two matches here but with a mixed recent history overall. Serve & return factors add around 4.5 points to Hurkacz’s favor; both players carry excellent serve indices (van de Zandschulp 96.03, Hurkacz 96.65), while van de Zandschulp holds a notably stronger mean return index (90.36 vs 84.56) — a difference greater than 5 points that will be important on returns and short points. Looking at the underlying numbers, Hurkacz has the higher Elo (1746 vs 1672) and a stronger form index (75.6 vs 51.5), while rankings are nearly identical (69 vs 71). Fatigue is comparable after two matches here (van de Zandschulp 213 minutes, Hurkacz 209). Surface strength indices are modest for both (van de Zandschulp 29.26, Hurkacz 21.67), so neither is a perfect hard-court specialist; the model still gives small bumps to Hurkacz for overall strength (≈1.6 points) and surface fit (≈1.2 points). Over the last three matches both men show recent wins at Toronto: van de Zandschulp beat Medvedev and Perricard then had a prior loss on clay, while Hurkacz has two Toronto wins and a loss at Wimbledon.

Total Games Predictions

🎾
Expected Total Games in Match 26.6 Most likely outcome: 26 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Botic van de Zandschulp versus Hubert Hurkacz. 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 Hubert Hurkacz. 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 - Hubert Hurkacz) -1.2 Most likely spread: -2 (Hubert Hurkacz wins 2 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction is 18.14 for the match with an expected double faults total of 6.71. On medium-paced hard courts, that ace total is consistent with big servers getting free points but not the extreme counts seen on faster surfaces; use of predicted aces and expected double faults suggests both men will rely on serve holds. Neither player's serve index is dramatically higher, so expect the ace split to be fairly even rather than one-sided.
🎯
Expected Total Aces 18.1 Most likely: 18 aces
Expected Total Double Faults 6.7 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 Hubert Hurkacz. 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 Hubert Hurkacz. 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 Hubert Hurkacz. The chart shows the predicted probability for each double-fault count.
Cumulative Probability (CDF)

Probability of double faults ≤ X

Cumulative distribution function chart for double faults in Botic van de Zandschulp versus Hubert Hurkacz. 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

47.5% Predicted: No tiebreak

Exact Score Distribution BO3

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

0-2 Most likely set score (38.5%)
Probability distribution of the final set score from Botic van de Zandschulp's perspective. Format: BO3.

Final Prediction

Hurkacz’s edge is driven primarily by recent results at this level and a favorable serve/return balance, supported by higher Elo and form. Watch van de Zandschulp’s return — his markedly stronger return index is the key factor that could swing momentum if he can convert return chances into breaks.

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