Australian Open Australia Hard Grand Slam Round of 64

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

Botic van de Zandschulp

Rank: #75
42%
VS

Juncheng Shang

Rank: #311
58%
Expected Total Games: 38.0
Predicted Winner: Juncheng Shang

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Player Metrics

Botic van de Zandschulp

Form Index: 62.2
ELO Rating: 886.7
Glicko2 Rating: 1574.8
Current Fatigue (minutes): 174.0
Surface Strength:
Hard: 6.9
Clay: 4.9
Grass: 5.5
Serve Rating: 74.9
Return Rating: 80.0

Juncheng Shang

Form Index: 70.6
ELO Rating: 334.6
Glicko2 Rating: 1617.1
Current Fatigue (minutes): 174.0
Surface Strength:
Hard: 5.7
Clay: 1.0
Grass: 1.0
Serve Rating: 98.7
Return Rating: 94.2

Recent Matches

Botic van de Zandschulp

Juncheng Shang

Head-to-Head (Last 2 Seasons)

0
Botic van de Zandschulp
vs
0
Juncheng Shang
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

In the Round of 64 at the 2026 Australian Open, Botic van de Zandschulp faces off against Juncheng Shang on hard courts. With a predicted winner of Juncheng Shang, he holds a winning probability of 57.87%, while Botic van de Zandschulp stands at 42.13%. The match is expected to be competitive, with an anticipated total of 38.01 games played.

Match Analysis

Botic van de Zandschulp, ranked 75th, showcases a form index of 62.16 and an Elo rating of 886.72. He has a surface strength index of 6.95, indicating his reasonable performance on hard courts, though he has accumulated significant fatigue of 174 minutes in the current tournament. His mean serve index sits at 74.90, and he has a mean return index of 79.98, revealing that he is a strong returner. Conversely, Juncheng Shang is ranked 311 with a form index of 70.63 and a lower Elo rating of 334.63. His surface strength index is slightly less at 5.69, but his mean serve index is notably high at 98.72, which gives him a significant advantage in serving. Moreover, Shang's mean return index of 94.21 points to his exceptional ability to challenge opponents' serves. In their recent performances, van de Zandschulp won his last match against Brandon Nakashima but suffered a loss to Alexander Bublik in Hong Kong before that. Shang, on the other hand, had a strong victory over Roberto Bautista Agut in his last match, demonstrating his current form despite an earlier defeat to the same Alexander Bublik. This pattern suggests that Shang is gaining momentum as the tournament progresses.

Total Games Predictions

🎾
Expected Total Games in Match 38.0 Most likely outcome: 38 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Botic van de Zandschulp versus Juncheng Shang. 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 Juncheng Shang. 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 - Juncheng Shang) +0.4 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 Juncheng Shang. Positive values indicate Botic van de Zandschulp winning more games, negative values indicate Juncheng Shang winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The match is projected to feature around 16.88 expected aces, with 5.74 expected double faults. Given the hard court surface, which balances both powerful serves and solid returns, the expected aces prediction reflects the capacity of both players to serve effectively. Notably, Shang's higher mean serve index indicates he may contribute more to the ace count, while the moderate expected double faults could affect the flow of the match.
🎯
Expected Total Aces 16.9 Most likely: 16 aces
Expected Total Double Faults 5.7 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 Juncheng Shang. 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 Juncheng Shang. 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 Juncheng Shang. 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 Juncheng Shang. The curve shows the cumulative probability for each double faults threshold.

Final Prediction

Juncheng Shang's edge in serve quality and recent form positions him favorably against Botic van de Zandschulp. The ability to capitalize on serve opportunities will be a key factor to watch, as Shang's powerful serve may put pressure on van de Zandschulp's return game.

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