Munich Germany Clay Atp 250 Round of 32

Botic van de Zandschulp vs Marc-Andrea Huesler: AI Prediction | Games, Spread, Aces & Double Faults

Botic van de Zandschulp

Rank: #52
69%
VS

Marc-Andrea Huesler

Rank: #283
31%
Expected Total Games: 23.7
Predicted Winner: Botic van de Zandschulp

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Player Metrics

Botic van de Zandschulp

Form Index: 52.6
ELO Rating: 1653.6
Glicko2 Rating: 1716.3
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 55.4
Clay: 39.6
Grass: 40.9
Serve Rating: 72.7
Return Rating: 74.8

Marc-Andrea Huesler

Form Index: 56.3
ELO Rating: 1552.0
Glicko2 Rating: 1733.8
Current Fatigue (minutes): 212.0
Surface Strength:
Hard: 51.2
Clay: 36.9
Grass: 38.2
Serve Rating: 96.8
Return Rating: 90.5

Recent Matches

Botic van de Zandschulp

Marc-Andrea Huesler

  • Last Match: vs Marko Topo (1-0) clay Munich 54 min
  • 2nd Last Match: vs Jan Choinski (2-1) clay Munich 158 min
  • 3rd Last Match: vs Bernard Tomic (1-2) hard Almaty 119 min
  • 4th Last Match: vs Liam Draxl (2-1) hard Almaty 123 min
  • 5th Last Match: vs Zachary Svajda (0-2) hard Us Open 174 min

Head-to-Head (Last 2 Seasons)

0
Botic van de Zandschulp
vs
0
Marc-Andrea Huesler
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

In Munich, Germany, the clay-court round of 32 at the 250-level sets up a contrasting matchup between Botic van de Zandschulp and Marc-Andrea Huesler. The model favors van de Zandschulp to win (68.50%) over Huesler (31.50%), with an expected total of about 23.7 games in the match — suggesting a straight-sets outcome with a handful of tightly contested service games.

Match Analysis

Van de Zandschulp arrives as the higher-ranked player (No. 52) with a stronger Elo (1653.6) and an edge in match freshness — he shows zero minutes of tournament fatigue versus Huesler’s 212 minutes. His form index is 52.6 and surface strength on clay sits at 39.6. Huesler, ranked 283 with an Elo of 1552.0, posts a slightly better form index (56.3) but carries significant court time in Munich. Their surface strength indices are similar, so clay-specific comfort does not clearly favor one man. There is a large gap in serving and returning profiles: Huesler’s mean serve index (96.78) far outstrips van de Zandschulp’s (72.69), and Huesler’s mean return index (90.48) also exceeds Botic’s (74.81) — both differences exceed 5 points and are material. Recent results show van de Zandschulp coming off a deep run in Bucharest with two straight-set wins followed by a marathon 211-minute loss; those three matches indicate resilience on clay. Huesler has won his opening Munich matches, including a long 158-minute encounter and a short 54-minute win, but the accumulated minutes help explain his listed fatigue.

Total Games Predictions

🎾
Expected Total Games in Match 23.7 Most likely outcome: 23 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Botic van de Zandschulp versus Marc-Andrea Huesler. 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 Marc-Andrea Huesler. 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 - Marc-Andrea Huesler) +1.6 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 Botic van de Zandschulp versus Marc-Andrea Huesler. Positive values indicate Botic van de Zandschulp winning more games, negative values indicate Marc-Andrea Huesler winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Botic van de Zandschulp versus Marc-Andrea Huesler. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for this clay match is modest: the model gives a predicted aces total of about 5.65. Clay’s slower bounce typically reduces ace counts, so that aligns with surface expectations. The double faults prediction is higher than you might see on faster surfaces, with expected double faults around 4.45; longer rallies and fatigue can elevate that number. Huesler’s significantly higher serve rating should boost the ace share toward him, but clay and his accumulated minutes likely blunt that advantage.
🎯
Expected Total Aces 5.7 Most likely: 5 aces
Expected Total Double Faults 4.5 Most likely: 4 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Botic van de Zandschulp versus Marc-Andrea Huesler. 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 Marc-Andrea Huesler. 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 Marc-Andrea Huesler. 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 Marc-Andrea Huesler. The curve shows the cumulative probability for each double faults threshold.

Final Prediction

Van de Zandschulp’s higher ranking, stronger Elo and superior freshness tilt the scales in his favor despite Huesler’s intimidating serve metrics. The key factor to watch is whether Huesler can convert his serve power into free points on clay without succumbing to fatigue-driven errors; if not, Botic’s return game will decide the tie.

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