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

Fabian Marozsan vs Michael Zheng: AI Prediction | Games, Spread, Aces & Double Faults

Fabian Marozsan

Rank: #61
66%
VS

Michael Zheng

Rank: #113
34%
Expected Total Games: 25.8
Predicted Winner: Fabian Marozsan

Why the Model Favors Fabian Marozsan

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

Recent record by level +10.4 Fabian Marozsan
Recent form +3.0 Fabian Marozsan
Overall strength +2.6 Fabian Marozsan
Fatigue & recent workload +2.0 Fabian Marozsan
Surface fit +1.9 Michael Zheng

Starting from an even matchup, these factors move the model to 66% for Fabian Marozsan. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →

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Player Metrics

Fabian Marozsan

Form Index: 37.6
ELO Rating: 1638.2
Glicko2 Rating: 1677.6
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 22.0
Clay: 17.5
Grass: 15.4
Serve Rating: 96.9
Return Rating: 87.7

Michael Zheng

Form Index: 70.6
ELO Rating: 1730.7
Glicko2 Rating: 1739.6
Current Fatigue (minutes): 286.0
Surface Strength:
Hard: 20.5
Clay: 16.6
Grass: 22.0
Serve Rating: 92.6
Return Rating: 87.5

Recent Matches

Fabian Marozsan

Michael Zheng

  • Last Match: vs Trevor Svajda (2-1) hard Cincinnati 155 min
  • 2nd Last Match: vs Moez Echargui (2-1) hard Cincinnati 131 min
  • 3rd Last Match: vs Miomir Kecmanovic (1-2) hard Toronto 166 min
  • 4th Last Match: vs Kei Nishikori (2-0) hard Toronto 63 min
  • 5th Last Match: vs Arthur Gea (1-2) hard Los Cabos 113 min

Head-to-Head (Last 2 Seasons)

0
Fabian Marozsan
vs
0
Michael Zheng
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Cincinnati, Ohio. Round of 128 on hard courts at a Masters 1000 event. The model favors Fabian Marozsan to win, with a 65.88% probability for Marozsan and 34.12% for Michael Zheng. The projected total number of games is 25.82.

Match Analysis

The model's edge for Marozsan comes mainly from his recent record by level, which contributed 10.4 percentage points to the prediction. Marozsan sits at world No. 61 with an Elo of 1638 and a form index of 37.6. He has no minutes of cumulative fatigue in this event, which also helped his case. Zheng is ranked 113 but carries a higher Elo of 1730 and a stronger form index of 70.6. That higher Elo and form explain part of the upset potential, but the model still leans to Marozsan overall. Other model drivers include recent form and overall strength, both nudging toward Marozsan, and a small fatigue and workload advantage for him because Zheng has already logged 286 minutes in Cincinnati. Surface fit slightly favors Zheng by 1.9 points, likely reflecting his two wins at this event so far. Both players show similar return ability, with mean return indices near 87.5. Marozsan’s mean serve index is 96.9 versus Zheng’s 92.6, a modest edge but below the threshold the model treats as decisive. Surface strength indices are low for both players (Marozsan 22.0, Zheng 20.5), indicating neither is a pronounced hard court specialist. Over their last three matches Marozsan is 1-2, with a hard court win in Toronto and straight set and three set losses including a long grass match at Wimbledon. Zheng is 2-1 in his last three, with two gritty wins in Cincinnati (155 and 131 minutes) and a straight loss in Toronto.

Total Games Predictions

🎾
Expected Total Games in Match 25.8 Most likely outcome: 25 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Fabian Marozsan versus Michael Zheng. 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 Fabian Marozsan versus Michael Zheng. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Fabian Marozsan - Michael Zheng) +0.9 Most likely spread: +1 (Fabian Marozsan wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Fabian Marozsan versus Michael Zheng. Positive values indicate Fabian Marozsan winning more games, negative values indicate Michael Zheng winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Fabian Marozsan versus Michael Zheng. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for this match is 8.19 total, and the predicted double faults total is 4.88. On a medium-paced hard court the expected aces are moderate compared with grass or clay. Fabian’s slightly higher serve index may lift the predicted aces a bit, but the gap is not large enough to expect a dominant serving display from either player.
🎯
Expected Total Aces 8.2 Most likely: 8 aces
Expected Total Double Faults 4.9 Most likely: 4 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Fabian Marozsan versus Michael Zheng. 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 Fabian Marozsan versus Michael Zheng. 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 Fabian Marozsan versus Michael Zheng. 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 Fabian Marozsan versus Michael Zheng. 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

35.6% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Fabian Marozsan's perspective)

2-0 Most likely set score (42.6%)
Probability distribution of the final set score from Fabian Marozsan's perspective. Format: BO3.

Final Prediction

Marozsan’s edge stems primarily from the model’s assessment of recent record by level and a fresher body after zero minutes on court in Cincinnati. The key factor to watch is Zheng’s fatigue and ability to sustain intensity late in rallies and sets, given his heavier recent workload.

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