London Great Britain Grass Atp 500 Round of 32

Tommy Paul vs Zachary Svajda: AI Prediction | Games, Spread, Aces & Double Faults

Tommy Paul

Rank: #28
64%
VS

Zachary Svajda

Rank: #69
36%
Expected Total Games: 26.8
Predicted Winner: Tommy Paul

Why the Model Favors Tommy Paul

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

Serve & return game +8.9 Zachary Svajda
Recent form +6.2 Tommy Paul
Overall strength +6.0 Tommy Paul
Recent record by level +5.7 Tommy Paul
Surface fit +5.5 Tommy Paul

Starting from an even matchup, these factors move the model to 64% for Tommy Paul. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Tommy Paul

Form Index: 40.3
ELO Rating: 1811.3
Glicko2 Rating: 1871.7
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 36.7
Clay: 37.5
Grass: 17.1
Serve Rating: 94.9
Return Rating: 91.7

Zachary Svajda

Form Index: 60.0
ELO Rating: 1695.6
Glicko2 Rating: 1710.9
Current Fatigue (minutes): 163.0
Surface Strength:
Hard: 25.7
Clay: 21.6
Grass: 6.0
Serve Rating: 94.2
Return Rating: 86.6

Recent Matches

Tommy Paul

  • Last Match: vs Casper Ruud (2-3) clay Roland Garros 174 min
  • 2nd Last Match: vs Lorenzo Sonego (3-0) clay Roland Garros 174 min
  • 3rd Last Match: vs Rinky Hijikata (3-1) clay Roland Garros 174 min
  • 4th Last Match: vs Ignacio Buse (1-2) clay Hamburg 183 min
  • 5th Last Match: vs Alex de Minaur (2-1) clay Hamburg 137 min

Zachary Svajda

  • Last Match: vs Martin Damm (0-2) grass London 73 min
  • 2nd Last Match: vs Liam Broady (2-0) grass London 90 min
  • 3rd Last Match: vs Flavio Cobolli (1-3) clay Roland Garros 174 min
  • 4th Last Match: vs Francisco Cerundolo (3-2) clay Roland Garros 174 min
  • 5th Last Match: vs Adam Walton (3-1) clay Roland Garros 174 min

Head-to-Head (Last 2 Seasons)

0
Tommy Paul
vs
0
Zachary Svajda
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

This round-of-32 meeting in London on grass projects as a straight-up contrast of styles at an ATP 500 event: Tommy Paul is favored to advance over Zachary Svajda. The model gives Paul a 63.98% chance to win versus 36.02% for Svajda, with a predicted total of about 26.8 games in the match.

Match Analysis

The model’s edge is driven by a mix of factors: the largest single factor actually favors Svajda on serve & return, but Paul gains ground through recent form, overall strength, recent results by level and surface fit. Paul enters ranked 28 with an Elo of 1811 and a strong form index of 40.34; he shows a notably higher surface strength index (17.11) than Svajda (6.02), and the model credits that with 5.5 percentage points toward Paul. Svajda is ranked 69 with an Elo of 1695 and a higher form index (59.95), and the explainability engine awarded him an 8.9-point advantage on serve & return — a reminder that the matchup dynamics on grass can tilt toward strong servers. Fatigue is a clear contrast: Paul shows 0 minutes of cumulative court time in this event, while Svajda carries 163 minutes already, which likely influenced the 6.2-point boost for Paul from recent form. Serve metrics are similar (Paul 94.88 vs Svajda 94.17), so neither gains a big serving edge, but Paul’s mean return index (91.74) is more than 5 points higher than Svajda’s (86.55), which is meaningful on a quick surface. Over the last three matches Paul recorded two wins then a five-set loss at Roland Garros (long matches); Svajda has a split slate at London and Roland Garros with a recent short loss to Martin Damm and a prior straight-sets win over Liam Broady.

Total Games Predictions

🎾
Expected Total Games in Match 26.8 Most likely outcome: 26 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Tommy Paul 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 Tommy Paul 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 (Tommy Paul - Zachary Svajda) +1.9 Most likely spread: +2 (Tommy Paul wins 2 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Tommy Paul versus Zachary Svajda. Positive values indicate Tommy Paul 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 Tommy Paul versus Zachary Svajda. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for this grass match is high: predicted aces total is about 15.9 and expected double faults about 4.3. Grass favors big servers and skidding, low bounces, so this predicted aces figure aligns with the surface; neither player has a clearly superior serve rating to push aces much higher, but both profile as strong servers. In short, the aces prediction and double faults prediction reflect a fast surface and two players who will look to hold serve.
🎯
Expected Total Aces 15.9 Most likely: 15 aces
Expected Total Double Faults 4.3 Most likely: 4 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Tommy Paul 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 Tommy Paul 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 Tommy Paul 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 Tommy Paul 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

44.5% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Tommy Paul's perspective)

2-0 Most likely set score (37.3%)
Probability distribution of the final set score from Tommy Paul's perspective. Format: BO3.

Final Prediction

Paul’s edge comes from stronger recent form, higher overall strength and better surface fit — despite the top model factor (serve & return) leaning toward Svajda. Key factor to watch: can Svajda’s service performance on grass convert that serve/return edge into free points, or will Paul’s superior return and fresher legs decide the margins.

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