Wimbledon Great Britain Grass Grand Slam Round of 64

Zachary Svajda vs Kamil Majchrzak: AI Prediction | Games, Spread, Aces & Double Faults

Zachary Svajda

Rank: #66
47%
VS

Kamil Majchrzak

Rank: #45
53%
Expected Total Games: 40.4
Predicted Winner: Kamil Majchrzak

Why the Model Favors Kamil Majchrzak

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

Age +5.1 Zachary Svajda
Head-to-head +5.1 Kamil Majchrzak
Recent form +3.5 Zachary Svajda
Overall strength +3.4 Kamil Majchrzak
Serve & return game +3.4 Zachary Svajda

Starting from an even matchup, these factors move the model to 53% for Kamil Majchrzak. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

Also available in Claude. Query these predictions in plain language — our native connector lets Claude call our models on demand, no code.

Set it up

Player Metrics

Zachary Svajda

Form Index: 59.7
ELO Rating: 1705.4
Glicko2 Rating: 1701.6
Current Fatigue (minutes): 174.0
Surface Strength:
Hard: 25.4
Clay: 21.5
Grass: 8.9
Serve Rating: 94.3
Return Rating: 91.7

Kamil Majchrzak

Form Index: 53.4
ELO Rating: 1714.2
Glicko2 Rating: 1741.7
Current Fatigue (minutes): 174.0
Surface Strength:
Hard: 27.4
Clay: 8.5
Grass: 26.2
Serve Rating: 96.3
Return Rating: 88.4

Recent Matches

Zachary Svajda

Kamil Majchrzak

Head-to-Head (Last 2 Seasons)

0
Zachary Svajda
vs
1
Kamil Majchrzak
Hard
0 - 1
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At Wimbledon in Great Britain, round of 64 on grass, Kamil Majchrzak is narrowly favored to progress in this grand slam encounter. The model projects Majchrzak to win with a 52.78% probability versus Zachary Svajda at 47.22%, and expects about 40.35 total games in the match.

Match Analysis

The model’s margin for Majchrzak is driven primarily by head-to-head considerations and a slight overall strength edge, while Svajda gains ground from age, recent form and his serve/return profile. On paper Majchrzak sits higher in the rankings (No. 45 vs No. 66) and posts a marginally higher Elo (1714.18 vs 1705.43), which supports the model’s tilt toward him. Svajda’s form index (59.66) is stronger than Majchrzak’s (53.37), and the model credits that recent form with part of Svajda’s probability. Both players arrive with identical tournament fatigue (174 minutes on court). Surface strength differs: Majchrzak’s grass index (26.17) is meaningfully higher than Svajda’s (8.86), suggesting Kamil is better adapted to the nuances of grass. Serve and return numbers are both strong for each man — Svajda’s mean return index (91.69) is one of the match’s assets while Majchrzak holds a slightly higher mean serve index (96.25 vs 94.26). Over the last three matches each, both won their opening Wimbledon matches in straight sets; Svajda also has a pair of recent grass results with a win and a loss in Mallorca, while Majchrzak mixed a big win on grass with a loss in London and a good showing in s-Hertogenbosch.

Total Games Predictions

🎾
Expected Total Games in Match 40.4 Most likely outcome: 40 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Zachary Svajda versus Kamil Majchrzak. 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 Zachary Svajda versus Kamil Majchrzak. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Zachary Svajda - Kamil Majchrzak) -1.1 Most likely spread: -2 (Kamil Majchrzak wins 2 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Zachary Svajda versus Kamil Majchrzak. Positive values indicate Zachary Svajda winning more games, negative values indicate Kamil Majchrzak winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Zachary Svajda versus Kamil Majchrzak. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction and predicted aces total sit high for a grass match: expected aces for the match are 20.59, and the double faults prediction is moderate at an expected double faults total of 6.32. Grass favors big servers and should push the predicted aces upward; Majchrzak’s slightly higher serve rating may contribute a few extra free points, while Svajda’s strong return game could temper some of that advantage.
🎯
Expected Total Aces 20.6 Most likely: 20 aces
Expected Total Double Faults 6.3 Most likely: 6 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Zachary Svajda versus Kamil Majchrzak. 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 Zachary Svajda versus Kamil Majchrzak. 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 Zachary Svajda versus Kamil Majchrzak. 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 Zachary Svajda versus Kamil Majchrzak. 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

50.0% Predicted: No tiebreak

Exact Score Distribution BO5

Probability of each set-by-set outcome (Zachary Svajda's perspective)

0-3 Most likely set score (25.8%)
Probability distribution of the final set score from Zachary Svajda's perspective. Format: BO5.

Final Prediction

Majchrzak’s narrow edge comes mainly from the head-to-head factor and a small overall strength advantage, offsetting Svajda’s youth and recent form. The key factor to watch will be how Majchrzak’s grass comfort translates into service holds against Svajda’s high-quality returns.

Get Daily Tennis Predictions

Enjoyed this analysis? Subscribe to our Telegram channel and receive daily AI-driven tennis predictions directly on your phone.

Join Our Telegram Channel