Washington DC, U.S.A. Hard Atp 500 Round of 32

Trevor Svajda vs Jakub Mensik: AI Prediction | Games, Spread, Aces & Double Faults

Trevor Svajda

Rank: #436
18%
VS

Jakub Mensik

Rank: #17
82%
Expected Total Games: 23.0
Predicted Winner: Jakub Mensik

Why the Model Favors Jakub Mensik

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

Overall strength +11.5 Jakub Mensik
Surface fit +9.2 Jakub Mensik
Recent record by level +7.2 Jakub Mensik
Overall record & opposition quality +4.7 Jakub Mensik
Recent form +3.7 Trevor Svajda

Starting from an even matchup, these factors move the model to 82% for Jakub Mensik. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Trevor Svajda

Form Index: 42.2
ELO Rating: 1549.6
Glicko2 Rating: 1622.5
Current Fatigue (minutes): 182.0
Surface Strength:
Hard: 12.4
Clay: 10.7
Grass: 5.5
Serve Rating: 95.2
Return Rating: 87.7

Jakub Mensik

Form Index: 40.3
ELO Rating: 1818.7
Glicko2 Rating: 1867.1
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 38.3
Clay: 39.9
Grass: 18.9
Serve Rating: 96.2
Return Rating: 86.9

Recent Matches

Trevor Svajda

Jakub Mensik

Head-to-Head (Last 2 Seasons)

0
Trevor Svajda
vs
0
Jakub Mensik
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

This Washington round-of-32 match in D.C. on hard courts pits qualifier-style form from Trevor Svajda against seeded Jakub Mensik in an ATP 500 event. The model projects Mensik to win (81.53%) over Svajda (18.47%), with a low-scoring match expected — about 22.96 total games.

Match Analysis

The model’s edge for Mensik comes mainly from overall strength and surface fit. Mensik’s ranking (17) and higher Elo (1818.7 vs 1549.6) underpin an 11.5-point swing toward him, while his superior hard-court fit (+9.2 points) reflects a markedly higher surface strength index (38.28 vs Svajda’s 12.44). Recent record at level also favors Mensik (+7.2 points) and overall record/opposition quality adds another +4.7 points to his side. Svajda’s recent form is the lone factor nudging him forward (+3.7 points), driven by his two wins in Washington — straight-set victories over Mackenzie McDonald and Elias Ymer — after a loss at Indian Wells. Comparing profiles: Svajda is ranked 436 with a form index of 42.21 and carries 182 minutes of tournament fatigue; Mensik is ranked 17 with a form index of 40.31 and shows no fatigue in this event. Both players feature strong serving metrics (mean serve indices 95.22 for Svajda and 96.20 for Mensik) and similar return indices (87.73 vs 86.90), so neither holds a clear edge purely on serve or return ratings. Over their last three matches, Svajda has two recent hard-court wins in Washington and one earlier loss, while Mensik’s recent results came on grass at Wimbledon with one win (Toby Samuel) and losses to Grigor Dimitrov and Adrian Mannarino.

Total Games Predictions

🎾
Expected Total Games in Match 23.0 Most likely outcome: 22 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Trevor Svajda - Jakub Mensik) -4.6 Most likely spread: -5 (Jakub Mensik wins 5 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Trevor Svajda versus Jakub Mensik. Positive values indicate Trevor Svajda winning more games, negative values indicate Jakub Mensik winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Trevor Svajda versus Jakub Mensik. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for this hard-court clash is moderate: the model’s predicted aces total is 12.75. Hard courts typically yield a balanced ace count, and because both players have similarly high serve ratings there’s no single-server dominance likely to push that number much higher. The double faults prediction sits at an expected double faults total of 5.35 for the match.
🎯
Expected Total Aces 12.8 Most likely: 12 aces
Expected Total Double Faults 5.3 Most likely: 5 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Trevor Svajda versus Jakub Mensik. 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 Trevor Svajda versus Jakub Mensik. 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 Trevor Svajda versus Jakub Mensik. 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 Trevor Svajda versus Jakub Mensik. 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

42.6% Predicted: No tiebreak

Exact Score Distribution BO3

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

0-2 Most likely set score (58.0%)
Probability distribution of the final set score from Trevor Svajda's perspective. Format: BO3.

Final Prediction

Mensik’s clear overall strength advantage — particularly his higher ranking and Elo — is the top reason he’s favored here. Watch the surface-fit differential and Svajda’s accumulated 182 minutes of fatigue; those two factors should be decisive in how competitive the match proves to be.

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