Bastad Sweden Clay Atp 250 Round of 32

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

Botic van de Zandschulp

Rank: #55
75%
VS

Taro Daniel

Rank: #203
25%
Expected Total Games: 24.3
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.

Recent form +9.7 Botic van de Zandschulp
Recent record by level +7.0 Botic van de Zandschulp
Overall strength +4.3 Botic van de Zandschulp
Overall record & opposition quality +3.3 Botic van de Zandschulp
Age +2.7 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: 37.2
ELO Rating: 1621.6
Glicko2 Rating: 1695.2
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 23.4
Clay: 16.7
Grass: 10.1
Serve Rating: 96.0
Return Rating: 94.6

Taro Daniel

Form Index: 42.9
ELO Rating: 1532.8
Glicko2 Rating: 1637.5
Current Fatigue (minutes): 195.0
Surface Strength:
Hard: 4.3
Clay: 5.8
Grass: 5.8
Serve Rating: 95.6
Return Rating: 84.2

Recent Matches

Botic van de Zandschulp

  • Last Match: vs Roman Safiullin (2-3) grass Wimbledon 174 min
  • 2nd Last Match: vs Aleksandar Kovacevic (3-1) grass Wimbledon 174 min
  • 3rd Last Match: vs Tommy Paul (0-2) grass London 101 min
  • 4th Last Match: vs Harry Wendelken (2-0) grass London 114 min
  • 5th Last Match: vs Tallon Griekspoor (1-2) grass S Hertogenbosch 134 min

Taro Daniel

  • Last Match: vs Carlos Sanchez Jover (2-1) clay Bastad 124 min
  • 2nd Last Match: vs Federico Coria (2-0) clay Bastad 71 min
  • 3rd Last Match: vs Rinky Hijikata (1-2) clay Hamburg 142 min
  • 4th Last Match: vs Mikhail Kukushkin (0-2) hard Almaty 81 min
  • 5th Last Match: vs Billy Harris (0-2) hard Shanghai 106 min

Head-to-Head (Last 2 Seasons)

0
Botic van de Zandschulp
vs
0
Taro Daniel
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At Bastad in Sweden, round of 32 action on clay at this 250-level event sees Botic van de Zandschulp face Taro Daniel. The model favors van de Zandschulp (75.30% win probability) over Daniel (24.70%), with a predicted total of 24.26 games in the match.

Match Analysis

The model’s edge for van de Zandschulp comes mainly from recent form (+9.7 percentage points) and his recent record by level (+7.0 pp), with secondary contributions from overall strength (+4.3 pp), record versus quality opposition (+3.3 pp) and age (+2.7 pp). Van de Zandschulp arrives ranked 55 with an Elo of 1621.6 and a form index of 37.2; he shows strong mean serve (96.05) and mean return (94.59) indices and reports no accumulated fatigue from the event. Daniel is ranked 203 with an Elo of 1532.8 and a slightly higher form index of 42.9, but carries 195 minutes of tournament fatigue. Daniel’s surface strength index (5.8) is well below van de Zandschulp’s (16.7). There is a notable gap on return: van de Zandschulp’s mean return index exceeds Daniel’s by over 10 points, which helps explain the projection. Recent match patterns are mixed. Van de Zandschulp has two defeats and one win in his last three (a win over Kovacevic at Wimbledon and hard-fought losses to Safiullin and Tommy Paul), including long matches on grass. Daniel comes in with momentum at Bastad—two wins (over Coria and Sanchez Jover) and a prior loss in Hamburg—but his run in the event has added significant court minutes that may blunt his legs on clay.

Total Games Predictions

🎾
Expected Total Games in Match 24.3 Most likely outcome: 24 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Botic van de Zandschulp versus Taro Daniel. 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 Taro Daniel. 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 - Taro Daniel) +3.0 Most likely spread: +3 (Botic van de Zandschulp wins 3 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 Taro Daniel. Positive values indicate Botic van de Zandschulp winning more games, negative values indicate Taro Daniel winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction for the match is modest: predicted aces = 9.35. On clay, fewer free points are expected and the surface tends to suppress ace totals; this supports the relatively low aces prediction. The expected double faults are 5.38; longer rallies and physical wear—especially given Daniel’s tournament minutes—could elevate the double faults total. There is no large gap in serve index to suggest one player will dominate the ace count.
🎯
Expected Total Aces 9.3 Most likely: 9 aces
Expected Total Double Faults 5.4 Most likely: 5 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Botic van de Zandschulp versus Taro Daniel. 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 Taro Daniel. 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 Taro Daniel. 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 Taro Daniel. 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

35.3% 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 (49.5%)
Probability distribution of the final set score from Botic van de Zandschulp's perspective. Format: BO3.

Final Prediction

Van de Zandschulp’s advantage is driven foremost by recent form and his superior return/overall strength indicators. Watch the return game and Daniel’s physical freshness: if fatigue shows, it will be the decisive factor.

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