Cincinnati OH, U.S.A. Hard Masters 1000 Round of 128

Roman Andres Burruchaga vs Jan-Lennard Struff: AI Prediction | Games, Spread, Aces & Double Faults

Roman Andres Burruchaga

Rank: #56
53%
VS

Jan-Lennard Struff

Rank: #41
47%
Expected Total Games: 23.4
Predicted Winner: Roman Andres Burruchaga

Why the Model Favors Roman Andres Burruchaga

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

Age +5.5 Roman Andres Burruchaga
Recent form +3.8 Roman Andres Burruchaga
Serve & return game +2.5 Jan-Lennard Struff
Surface fit +1.5 Jan-Lennard Struff
Overall record & opposition quality +1.3 Jan-Lennard Struff

Starting from an even matchup, these factors move the model to 53% for Roman Andres Burruchaga. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →

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Player Metrics

Roman Andres Burruchaga

Form Index: 35.6
ELO Rating: 1594.0
Glicko2 Rating: 1668.2
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 8.2
Clay: 22.3
Grass: 7.4
Serve Rating: 95.2
Return Rating: 92.6

Jan-Lennard Struff

Form Index: 46.1
ELO Rating: 1715.4
Glicko2 Rating: 1667.5
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 14.8
Clay: 16.9
Grass: 31.5
Serve Rating: 95.4
Return Rating: 85.1

Recent Matches

Roman Andres Burruchaga

Jan-Lennard Struff

Head-to-Head (Last 2 Seasons)

0
Roman Andres Burruchaga
vs
0
Jan-Lennard Struff
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Cincinnati, OH — Round of 128 on outdoor hard courts at a Masters 1000 event sets a contrast of styles between Roman Andres Burruchaga and Jan-Lennard Struff. The model leans to Burruchaga as the projected winner (52.59% vs 47.41%) with a relatively tight match expected — about 23.41 total games.

Match Analysis

The model's edge for Burruchaga comes mainly from age (+5.5 percentage points) and recent form (+3.8). These drivers are reinforced by his solid Elo (1594.01) and form index (35.58), while Struff carries a higher Elo (1715.39) and a stronger recent form index (46.11) that keep the forecast close. Fatigue is neutral for both players (0.0 minutes), so freshness should not be a factor. Service and return dynamics slightly favor Struff on serve/return balance (+2.5 toward Struff) and surface fit (+1.5 toward Struff). Their mean serve indices are nearly identical (Burruchaga 95.22; Struff 95.40) so no big serving gap, but Burruchaga holds a clear edge in the return metric (92.63 vs 85.11 — a >5-point difference), which helps explain the model’s tilt. Surface strength scores favor Struff modestly (14.75 vs 8.18), reflecting a small comfort advantage on hard courts. Recent form: Burruchaga has gone 1–2 across his last three matches (beat Nuno Borges, then losses to Alexander Blockx and Alexei Popyrin), while Struff is also 1–2 (win over Aleksandr Shevchenko, followed by defeats to Mariano Navone and Alex Michelsen). Match lengths for Burruchaga include long three-setters in Toronto and Estoril, indicating competitive baseline battles.

Total Games Predictions

🎾
Expected Total Games in Match 23.4 Most likely outcome: 23 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Roman Andres Burruchaga versus Jan-Lennard Struff. 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 Roman Andres Burruchaga versus Jan-Lennard Struff. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Roman Andres Burruchaga - Jan-Lennard Struff) +0.3 Most likely spread: 0 (even number of games won)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Roman Andres Burruchaga versus Jan-Lennard Struff. Positive values indicate Roman Andres Burruchaga winning more games, negative values indicate Jan-Lennard Struff winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Roman Andres Burruchaga versus Jan-Lennard Struff. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for this hard-court match is moderate: predicted aces = 12.6. Expected double faults for the match are 6.67. Hard courts typically produce a middle-ground ace count — more than clay but fewer than grass — and with nearly identical serve indices the ace split should be even; Burruchaga’s stronger return rating may temper opponent free points.
🎯
Expected Total Aces 12.6 Most likely: 12 aces
Expected Total Double Faults 6.7 Most likely: 6 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Roman Andres Burruchaga versus Jan-Lennard Struff. 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 Roman Andres Burruchaga versus Jan-Lennard Struff. 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 Roman Andres Burruchaga versus Jan-Lennard Struff. The chart shows the predicted probability for each double-fault count.
Cumulative Probability (CDF)

Probability of double faults ≤ X

Cumulative distribution function chart for double faults in Roman Andres Burruchaga versus Jan-Lennard Struff. 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

31.2% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Roman Andres Burruchaga's perspective)

0-2 Most likely set score (27.8%)
Probability distribution of the final set score from Roman Andres Burruchaga's perspective. Format: BO3.

Final Prediction

Burruchaga’s narrow advantage is driven primarily by the age factor identified by the model and a recent uptick in form. Watch the return game early — Burruchaga’s superior return index is the decisive variable that could decide break opportunities.

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