Wimbledon Great Britain Grass Grand Slam Round of 128

Dalibor Svrcina vs Learner Tien: AI Prediction | Games, Spread, Aces & Double Faults

Dalibor Svrcina

Rank: #112
18%
VS

Learner Tien

Rank: #17
82%
Expected Total Games: 36.6
Predicted Winner: Learner Tien

Why the Model Favors Learner Tien

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

Surface fit +8.6 Learner Tien
Recent record by level +7.4 Learner Tien
Recent form +7.1 Learner Tien
Overall strength +5.7 Learner Tien
Serve & return game +2.2 Dalibor Svrcina

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

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Player Metrics

Dalibor Svrcina

Form Index: 38.2
ELO Rating: 1591.8
Glicko2 Rating: 1628.6
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 18.6
Clay: 13.6
Grass: 9.3
Serve Rating: 94.4
Return Rating: 96.2

Learner Tien

Form Index: 46.4
ELO Rating: 1803.6
Glicko2 Rating: 1849.5
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 40.4
Clay: 27.7
Grass: 16.0
Serve Rating: 95.3
Return Rating: 88.2

Recent Matches

Dalibor Svrcina

Learner Tien

  • Last Match: vs Felix Auger-Aliassime (1-2) grass Halle 151 min
  • 2nd Last Match: vs Max Schoenhaus (2-0) grass Halle 65 min
  • 3rd Last Match: vs Flavio Cobolli (0-3) clay Roland Garros 174 min
  • 4th Last Match: vs Facundo Diaz Acosta (3-2) clay Roland Garros 174 min
  • 5th Last Match: vs Cristian Garin (2-1) clay Roland Garros 174 min

Head-to-Head (Last 2 Seasons)

0
Dalibor Svrcina
vs
0
Learner Tien
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At Wimbledon in London, the grass-court first round pits Dalibor Svrcina against Learner Tien in the main draw. The model strongly favours Learner Tien, projecting an 82.08% chance of victory to Svrcina’s 17.92%, with an expected total of about 36.6 games in the match.

Match Analysis

The model’s edge for Tien comes mainly from surface fit and recent results at comparable levels, backed by superior overall strength and form. Tien’s surface strength index (16.03) is notably higher than Svrcina’s (9.31), and his ranking (17 vs 112) and Elo (1803.6 vs 1591.8) signal a clear class advantage. Tien also posts a higher form index (46.36) versus Svrcina’s 38.16, which supports the model’s recent-form boost toward him. Svrcina does have some tools to make this competitive: both players show strong serve indices (Svrcina 94.41, Tien 95.27), so serves should hold up on fast grass, but Svrcina’s mean return index (96.21) is substantially better than Tien’s (88.24) — a difference worth watching and the reason the model still gives a small 2.2-point tilt toward Svrcina for serve & return traits. Neither player carries fatigue from prior rounds (0 minutes), so conditioning won’t be a factor. Looking at the last three matches, Tien has recent grass experience from Halle (a win and a tight loss to Auger-Aliassime), while Svrcina’s latest matches were on clay with two tough defeats and one straight-set win — suggesting Tien is closer to match rhythm on grass.

Total Games Predictions

🎾
Expected Total Games in Match 36.6 Most likely outcome: 36 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Dalibor Svrcina versus Learner Tien. 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 Dalibor Svrcina versus Learner Tien. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Dalibor Svrcina - Learner Tien) -3.0 Most likely spread: -4 (Learner Tien wins 4 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Dalibor Svrcina versus Learner Tien. Positive values indicate Dalibor Svrcina winning more games, negative values indicate Learner Tien winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Dalibor Svrcina versus Learner Tien. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for this match is modestly high for a first-round grass match: predicted aces ~10.9 and expected double faults ~9.8. Grass typically inflates ace counts and rewards flat serving, and both players carry strong serve indices, so the predicted aces reflect that surface effect. No single player posts a dramatically superior serve rating, so the ace count should be shared rather than dominated by one server.
🎯
Expected Total Aces 10.9 Most likely: 10 aces
Expected Total Double Faults 9.8 Most likely: 9 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Dalibor Svrcina versus Learner Tien. 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 Dalibor Svrcina versus Learner Tien. 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 Dalibor Svrcina versus Learner Tien. 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 Dalibor Svrcina versus Learner Tien. 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

33.7% Predicted: No tiebreak

Exact Score Distribution BO5

Probability of each set-by-set outcome (Dalibor Svrcina's perspective)

0-3 Most likely set score (41.9%)
Probability distribution of the final set score from Dalibor Svrcina's perspective. Format: BO5.

Final Prediction

Tien’s clear surface fit advantage is the top reason he is favoured here, alongside stronger recent form and overall rating. The key element to watch will be Svrcina’s outstanding return numbers — if he can convert returns into break chances on the low, quick grass bounce, he can make this closer than the percentages indicate.

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