Us Open NY, U.S.A. Hard Grand Slam Round of 32

Michael Zheng vs Arthur Gea: AI Prediction | Games, Spread, Aces & Double Faults

Michael Zheng

Rank: #106
64%
VS

Arthur Gea

Rank: #86
36%
Expected Total Games: 41.5
Predicted Winner: Michael Zheng

Why the Model Favors Michael Zheng

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

Recent form +7.3 Michael Zheng
Fatigue & recent workload +3.5 Michael Zheng
Overall record & opposition quality +2.1 Michael Zheng
Serve & return game +2.0 Michael Zheng
Surface fit +1.9 Michael Zheng

Starting from an even matchup, these factors move the model to 64% for Michael Zheng. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →

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Player Metrics

Michael Zheng

Form Index: 81.6
ELO Rating: 1797.1
Glicko2 Rating: 1773.7
Current Fatigue (minutes): 348.0
Surface Strength:
Hard: 29.4
Clay: 16.6
Grass: 22.0
Serve Rating: 93.4
Return Rating: 89.8

Arthur Gea

Form Index: 63.3
ELO Rating: 1749.4
Glicko2 Rating: 1800.9
Current Fatigue (minutes): 870.0
Surface Strength:
Hard: 33.9
Clay: 9.0
Grass: 6.1
Serve Rating: 93.3
Return Rating: 88.1

Recent Matches

Michael Zheng

Arthur Gea

  • Last Match: vs Zachary Svajda (3-1) hard Us Open 174 min
  • 2nd Last Match: vs Juan Manuel Cerundolo (3-2) hard Us Open 174 min
  • 3rd Last Match: vs Nishesh Basavareddy (0-2) hard Us Open 174 min
  • 4th Last Match: vs Clement Chidekh (2-1) hard Us Open 174 min
  • 5th Last Match: vs Sumit Nagal (2-0) hard Us Open 174 min

Head-to-Head (Last 2 Seasons)

0
Michael Zheng
vs
1
Arthur Gea
Hard
0 - 1
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At the 2026 US Open in New York, Michael Zheng and Arthur Gea meet in the round of 32 on hard courts. The model favors Michael Zheng to advance with a 64.34% probability versus 35.66% for Arthur Gea. The match is expected to be just over 41 total games, a mid-length encounter on a typically even hard-court surface.

Match Analysis

The model’s edge for Zheng comes mainly from recent form and a clear fatigue advantage. Zheng carries a higher form index at 81.60 compared with Gea’s 63.27, and his Elo is also above Gea’s at 1797 versus 1749. This recent form advantage accounts for the largest single shift in the prediction. Zheng has been efficient in New York with two straight wins in the draw after a loss in Cincinnati, while Gea is 2 and 1 at this event with a tougher cumulative workload on court. Fatigue and recent workload also push the prediction toward Zheng. Zheng’s tournament minutes total 348, whereas Gea has accumulated 870 minutes, a substantial gap that favors the fresher player. Serve and return metrics give Zheng a narrow edge as well. Both players register similar mean serve indexes near 93, and their mean return indexes are close too, so no large serving gap is present. Surface fit slightly favors Zheng based on the surface strength indices, with Zheng at 29.40 and Gea at 33.87, a small difference that modestly supports Zheng on hard courts. Over the last three matches Zheng is 2-1, including straight sets and a four setter at the US Open. Gea is also 2-1, with two hard-fought wins and one earlier loss. Recent opponents and set patterns suggest both players can sustain multi-set battles on this surface.

Total Games Predictions

🎾
Expected Total Games in Match 41.5 Most likely outcome: 40 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Michael Zheng - Arthur Gea) +0.1 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 Michael Zheng versus Arthur Gea. Positive values indicate Michael Zheng winning more games, negative values indicate Arthur Gea winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction for the match is 16.59 total, with predicted aces split roughly 8.30 for Zheng and 8.42 for Gea. The expected double faults total is 9.4, with 4.3 for Zheng and 5.11 for Gea. On hard courts, predicted aces are moderate because the surface rewards both power and placement. Neither player posts a significantly higher serve rating, and the per player ace projections reflect that balance.
🎯
Expected Total Aces 16.6 Most likely: 14 aces Per player: Michael Zheng 8.3 + Arthur Gea 8.4
Expected Total Double Faults 9.4 Most likely: 8 double faults Per player: Michael Zheng 4.3 + Arthur Gea 5.1

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Michael Zheng versus Arthur Gea. 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 Michael Zheng versus Arthur Gea. The curve shows the cumulative probability for each aces threshold.

🎯 Aces by Player

Michael Zheng

Expected 8.3 aces

Probability distribution for the aces Michael Zheng serves in this match.
Arthur Gea

Expected 8.4 aces

Probability distribution for the aces Arthur Gea serves in this match.

Double Faults Probability Distribution

Distribution

Probability of each double fault count outcome

Probability distribution chart for double faults in Michael Zheng versus Arthur Gea. 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 Michael Zheng versus Arthur Gea. The curve shows the cumulative probability for each double faults threshold.

Double Faults by Player

Michael Zheng

Expected 4.3 double faults

Probability distribution for the double faults Michael Zheng serves in this match.
Arthur Gea

Expected 5.1 double faults

Probability distribution for the double faults Arthur Gea serves in this match.

🎯 Match Format Predictions

Tiebreak Likelihood

Probability that any tiebreak is played in this match

45.1% Predicted: No tiebreak

Exact Score Distribution BO5

Probability of each set-by-set outcome (Michael Zheng's perspective)

3-0 Most likely set score (27.7%)
Probability distribution of the final set score from Michael Zheng's perspective. Format: BO5.

Final Prediction

Zheng’s advantage is driven first and foremost by recent form and the fresh legs he brings to this round. The factor to watch will be Gea’s accumulated fatigue and how it affects his serve and movement in extended rallies.

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