Roland Garros France Clay Grand Slam Round of 64

Zachary Svajda vs Adam Walton: AI Prediction | Games, Spread, Aces & Double Faults

Zachary Svajda

Rank: #85
37%
VS

Adam Walton

Rank: #101
63%
Expected Total Games: 40.7
Predicted Winner: Adam Walton

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Player Metrics

Zachary Svajda

Form Index: 46.7
ELO Rating: 1634.1
Glicko2 Rating: 1683.2
Current Fatigue (minutes): 174.0
Surface Strength:
Hard: 25.7
Clay: 14.1
Grass: 5.7
Serve Rating: 95.0
Return Rating: 92.2

Adam Walton

Form Index: 61.0
ELO Rating: 1694.2
Glicko2 Rating: 1654.5
Current Fatigue (minutes): 174.0
Surface Strength:
Hard: 21.2
Clay: 19.2
Grass: 5.9
Serve Rating: 95.3
Return Rating: 86.7

Recent Matches

Zachary Svajda

  • Last Match: vs Alexei Popyrin (3-1) clay Roland Garros 174 min
  • 2nd Last Match: vs Max Hans Rehberg (0-2) clay Geneva 65 min
  • 3rd Last Match: vs Casper Ruud (0-2) clay Rome 64 min
  • 4th Last Match: vs Marco Trungelliti (1-1) clay Rome 132 min
  • 5th Last Match: vs Rei Sakamoto (0-2) clay Madrid 81 min

Adam Walton

Head-to-Head (Last 2 Seasons)

0
Zachary Svajda
vs
0
Adam Walton
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Roland Garros, round of 64 on clay — a Grand Slam stage that rewards patience and movement. Adam Walton is the model’s pick to progress, with a 63.20% probability versus Zachary Svajda’s 36.80%, and the match is projected to contain about 40.7 games in total.

Match Analysis

Svajda arrives as the higher-ranked player (No. 85) but Walton’s Elo (1694.2) and current form index (61.0) mark him as the steadier competitor coming into Paris; Svajda’s form index sits at 46.7. Both carry identical cumulative fatigue from the event (174 minutes), so recent court time shouldn’t give either a recovery edge. Surface strength indices are modest for both—Svajda 14.05, Walton 19.22—indicating neither player is a clay specialist, though Walton is slightly more comfortable on slow courts. Serving profiles are almost indistinguishable — mean serve indices of 95.02 (Svajda) and 95.29 (Walton) — so the serve won’t be a clear separator. On returns, however, Svajda holds a measurable advantage (mean return 92.15 vs Walton’s 86.71), a difference greater than five points that could translate into more breaking opportunities on clay. Recent form tells a similar story: Svajda’s big Roland Garros win over Alexei Popyrin (3-1) follows two straight losses in lead-up events, while Walton’s shock 3-2 victory over Daniil Medvedev at Roland Garros and a solid win in Madrid bookend a defeat to Khachanov. Both players show resilience but Walton’s recent results and Elo edge underpin the prediction.

Total Games Predictions

🎾
Expected Total Games in Match 40.7 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 Adam Walton. 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 Adam Walton. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Zachary Svajda - Adam Walton) -0.9 Most likely spread: -1 (Adam Walton wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Zachary Svajda versus Adam Walton. 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 total about 17.05 — reflecting clay’s tendency to blunt raw serve speed. The expected double faults tally is 5.85; extended rallies and physical wear on clay often push up the expected double faults. Since their serve ratings are nearly identical, neither player is expected to dramatically inflate the ace count.
🎯
Expected Total Aces 17.1 Most likely: 17 aces
Expected Total Double Faults 5.8 Most likely: 5 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Zachary Svajda versus Adam Walton. 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 Adam Walton. 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 Adam Walton. 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 Adam Walton. 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

45.0% Predicted: No tiebreak

Exact Score Distribution BO5

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

0-3 Most likely set score (29.0%)
Probability distribution of the final set score from Zachary Svajda's perspective. Format: BO5.

Final Prediction

Walton’s higher Elo and stronger recent form give him the edge on a surface that rewards consistency and tactical patience. Watch Svajda’s return game early: if he converts those extra break chances, he can flip the script; if Walton holds and extends rallies, he’s favored to close it out.

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