Rome Italy Clay Masters 1000 Round of 32

Learner Tien vs Alexander Bublik: AI Prediction | Games, Spread, Aces & Double Faults

Learner Tien

Rank: #21
45%
VS

Alexander Bublik

Rank: #11
55%
Expected Total Games: 27.7
Predicted Winner: Alexander Bublik

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Player Metrics

Learner Tien

Form Index: 42.4
ELO Rating: 1760.3
Glicko2 Rating: 1795.3
Current Fatigue (minutes): 68.0
Surface Strength:
Hard: 40.1
Clay: 13.9
Grass: 16.1
Serve Rating: 95.4
Return Rating: 92.9

Alexander Bublik

Form Index: 24.5
ELO Rating: 1738.9
Glicko2 Rating: 1820.6
Current Fatigue (minutes): 59.0
Surface Strength:
Hard: 34.2
Clay: 37.7
Grass: 34.9
Serve Rating: 95.5
Return Rating: 84.2

Recent Matches

Learner Tien

Alexander Bublik

Head-to-Head (Last 2 Seasons)

0
Learner Tien
vs
0
Alexander Bublik
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At the Rome Masters 1000 on clay, Round of 32 pits Learner Tien against Alexander Bublik in a matchup of big-hitting profiles on the slowest surface. The model gives Bublik the edge: Alexander Bublik 54.58% to Learner Tien 45.42%, with a predicted total of about 27.7 games in the match.

Match Analysis

Ranks and raw numbers present a close contest: Tien is No. 21 with an Elo of 1760.3 and a strong recent form index (42.38), while Bublik sits at No. 11 with a slightly lower Elo (1738.9) and a quieter form index (24.48). Fatigue is a factor — Tien has logged 68 minutes on court in this event versus Bublik’s 59 — and both show limited clay-specialist profiles by their surface strength indices (Tien 13.91, Bublik 37.71), the Czech-born player carrying the better clay metric. Their mean serve indices are nearly identical, so serving firepower is expected to even out. On returns, however, the gap favors Tien: his mean return index (92.91) is meaningfully higher than Bublik’s (84.23), which could translate into more break opportunities on the slow surface. Recent form mirrors that statistical tightness — each arrives having won in Rome (Tien beat Dzumhur; Bublik beat Baez) but with two earlier losses in their prior three matches. Tien’s recent win gives him momentum, while Bublik’s higher ranking and tournament progression suggest steadier season positioning.

Total Games Predictions

🎾
Expected Total Games in Match 27.7 Most likely outcome: 27 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Learner Tien - Alexander Bublik) -0.7 Most likely spread: -1 (Alexander Bublik wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction sits at about 12.16 for the match and the double faults prediction at roughly 5.67. On clay, the predicted aces will be suppressed compared with faster courts, and expected double faults can creep up as rallies and fatigue lengthen. With neither player holding a significantly higher serve rating, the predicted aces lean on both players’ aggressive serving rather than a single dominating ace producer.
🎯
Expected Total Aces 12.2 Most likely: 12 aces
Expected Total Double Faults 5.7 Most likely: 5 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Learner Tien versus Alexander Bublik. 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 Learner Tien versus Alexander Bublik. 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 Learner Tien versus Alexander Bublik. 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 Learner Tien versus Alexander Bublik. 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

36.9% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Learner Tien's perspective)

0-2 Most likely set score (30.3%)
Probability distribution of the final set score from Learner Tien's perspective. Format: BO3.

Final Prediction

Bublik’s slight probabilistic edge comes from ranking, marginally better clay strength and steadier tournament progress, but Tien’s superior return ability makes this far from a one-sided affair. The key factor to watch will be return pressure early in sets — it could determine who converts the few break chances available on clay.

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