Wimbledon Great Britain Grass Grand Slam Round of 32

Alex de Minaur vs Zachary Svajda: AI Prediction | Games, Spread, Aces & Double Faults

Alex de Minaur

Rank: #6
83%
VS

Zachary Svajda

Rank: #66
17%
Expected Total Games: 37.1
Predicted Winner: Alex de Minaur

Why the Model Favors Alex de Minaur

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

Recent record by level +12.0 Alex de Minaur
Overall strength +11.4 Alex de Minaur
Serve & return game +7.3 Alex de Minaur
Surface fit +5.5 Alex de Minaur
Age +2.3 Zachary Svajda

Starting from an even matchup, these factors move the model to 83% for Alex de Minaur. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Alex de Minaur

Form Index: 60.3
ELO Rating: 1823.9
Glicko2 Rating: 1889.4
Current Fatigue (minutes): 348.0
Surface Strength:
Hard: 39.0
Clay: 31.2
Grass: 40.1
Serve Rating: 96.6
Return Rating: 96.4

Zachary Svajda

Form Index: 71.5
ELO Rating: 1746.6
Glicko2 Rating: 1720.7
Current Fatigue (minutes): 348.0
Surface Strength:
Hard: 25.5
Clay: 21.5
Grass: 14.0
Serve Rating: 93.5
Return Rating: 85.5

Recent Matches

Alex de Minaur

Zachary Svajda

Head-to-Head (Last 2 Seasons)

0
Alex de Minaur
vs
0
Zachary Svajda
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At Wimbledon in Great Britain, Round of 32 on grass, Alex de Minaur is strongly favored in this grand slam meeting with Zachary Svajda. The model gives de Minaur an 83.42% chance to win versus 16.58% for Svajda, with a predicted total of about 37.12 games in the match.

Match Analysis

The model’s edge for de Minaur comes mainly from his recent record by level (+12.0 percentage points) and overall strength (+11.4 pp), supported by a superior ranking (No. 6) and higher Elo (1,823.86) compared with Svajda (No. 66, Elo 1,746.60). De Minaur’s form index (60.28) is lower than Svajda’s (71.47), but the model values de Minaur’s deeper tour-level results. Surface fit also favors de Minaur (+5.5 pp): his surface strength index is 40.05 against Svajda’s 13.97, indicating better adaptation to grass. Both players enter this match with the same tournament fatigue (348 minutes). Serve and return dynamics further tilt toward de Minaur (+7.3 pp). His mean return index (96.44) is substantially higher than Svajda’s (85.46), a gap the model treats as meaningful on a fast surface where returns can still swing tight service games. Mean serve indices are close (de Minaur 96.60, Svajda 93.47), so there’s no large serving advantage on paper. Recent form: de Minaur has two straight straight-set wins at Wimbledon (both lengthy 174-minute matches) after an earlier loss in London; Svajda has also won two at Wimbledon (a five-set and a three-set), with a prior straight-sets defeat on Mallorca.

Total Games Predictions

🎾
Expected Total Games in Match 37.1 Most likely outcome: 37 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Alex de Minaur - Zachary Svajda) +3.1 Most likely spread: +3 (Alex de Minaur wins 3 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

Aces prediction leans toward a relatively high count on grass: the match’s predicted aces is 18.26. The expected double faults total is 7.61, reflecting some risk from both servers under pressure. Grass favors big, flat serving and should boost the predicted aces; de Minaur’s marginally higher serve index may contribute slightly to the predicted aces, but the difference is not large enough to be decisive.
🎯
Expected Total Aces 18.3 Most likely: 18 aces
Expected Total Double Faults 7.6 Most likely: 7 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Alex de Minaur versus Zachary Svajda. 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 Alex de Minaur versus Zachary Svajda. 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 Alex de Minaur versus Zachary Svajda. 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 Alex de Minaur versus Zachary Svajda. 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

40.4% Predicted: No tiebreak

Exact Score Distribution BO5

Probability of each set-by-set outcome (Alex de Minaur's perspective)

3-0 Most likely set score (44.5%)
Probability distribution of the final set score from Alex de Minaur's perspective. Format: BO5.

Final Prediction

De Minaur’s edge is driven chiefly by his recent results at higher levels (the top model key factor) and stronger overall ratings. Watch the return battle — de Minaur’s superior return index is the decisive detail likely to determine short, tense service games.

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