Cincinnati OH, U.S.A. Hard Masters 1000 Round of 64

Jan-Lennard Struff vs Alejandro Tabilo: AI Prediction | Games, Spread, Aces & Double Faults

Jan-Lennard Struff

Rank: #41
37%
VS

Alejandro Tabilo

Rank: #26
63%
Expected Total Games: 25.7
Predicted Winner: Alejandro Tabilo

Why the Model Favors Alejandro Tabilo

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

Recent record by level +4.1 Alejandro Tabilo
Age +3.3 Alejandro Tabilo
Serve & return game +2.3 Alejandro Tabilo
Overall record & opposition quality +1.2 Alejandro Tabilo

Starting from an even matchup, these factors move the model to 63% for Alejandro Tabilo. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →

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Player Metrics

Jan-Lennard Struff

Form Index: 58.9
ELO Rating: 1734.6
Glicko2 Rating: 1684.2
Current Fatigue (minutes): 144.0
Surface Strength:
Hard: 16.5
Clay: 16.9
Grass: 31.5
Serve Rating: 96.2
Return Rating: 87.0

Alejandro Tabilo

Form Index: 34.3
ELO Rating: 1633.7
Glicko2 Rating: 1720.9
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 26.1
Clay: 20.7
Grass: 6.1
Serve Rating: 96.4
Return Rating: 86.4

Recent Matches

Jan-Lennard Struff

Alejandro Tabilo

Head-to-Head (Last 2 Seasons)

0
Jan-Lennard Struff
vs
0
Alejandro Tabilo
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Cincinnati, Ohio. Round of 64 on outdoor hard courts at a Masters 1000 event. Alejandro Tabilo is the model pick with a 62.64% chance of winning, while Jan-Lennard Struff is projected at 37.36%. The match is expected to be relatively short, with an estimated 25.67 total games.

Match Analysis

The model's edge for Tabilo comes mainly from recent record by level and age, with additional support from serve and return dynamics and overall opposition quality. Recent record by level gives Tabilo a 4.1 percentage point boost because his Washington run included a win over Ben Shelton, a higher quality scalp than Struff has collected recently. Age contributes 3.3 points toward Tabilo in the model, which nudges the estimate in his favor. Serve and return factors add another 2.3 points toward Tabilo, even though both men post very similar serve profiles. Looking at the raw numbers, Struff is ranked 41 and brings a stronger Elo of 1734.6 versus Tabilo at rank 26 with an Elo of 1633.7. Form indices show Struff at 58.9 and Tabilo at 34.3, favoring Struff on recent form metrics. Fatigue is a real difference, with Struff already on court for 144 minutes in Cincinnati and Tabilo fresh at 0 minutes. Surface strength favors Tabilo more, 26.1 versus Struff’s 16.5, indicating Tabilo’s game translates a bit better to hard courts. Serve and return indices are nearly identical. Mean serve indices are 96.17 for Struff and 96.37 for Tabilo. Mean return indices are 87.00 for Struff and 86.43 for Tabilo. Over the last three matches, Struff has one win in Cincinnati and two recent losses in Toronto and Kitzbühel. Tabilo has one win (Shelton) and two recent defeats, including a straight sets loss to Hubert Hurkacz in Toronto.

Total Games Predictions

🎾
Expected Total Games in Match 25.7 Most likely outcome: 25 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Jan-Lennard Struff - Alejandro Tabilo) -1.0 Most likely spread: -2 (Alejandro Tabilo wins 2 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction for this match is 17.19 total aces, and the predicted aces reflect two big servers on a medium paced hard court. The double faults prediction sits at 5.74 expected double faults. Hard courts typically produce a moderate ace count, and because neither player has a substantially higher serve rating, the match should see steady but not extreme serving numbers.
🎯
Expected Total Aces 17.2 Most likely: 17 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 Jan-Lennard Struff versus Alejandro Tabilo. 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 Jan-Lennard Struff versus Alejandro Tabilo. 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 Jan-Lennard Struff versus Alejandro Tabilo. 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 Jan-Lennard Struff versus Alejandro Tabilo. 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

50.8% Predicted: Tiebreak likely

Exact Score Distribution BO3

Probability of each set-by-set outcome (Jan-Lennard Struff's perspective)

0-2 Most likely set score (34.1%)
Probability distribution of the final set score from Jan-Lennard Struff's perspective. Format: BO3.

Final Prediction

Tabilo’s edge stems primarily from the model’s assessment of recent results by level. Watch how fatigue and short points play out: Struff’s extra minutes on court could reduce his consistency late in games, and that will be decisive for breaks and the final outcome.

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