Wimbledon Great Britain Grass Grand Slam Round of 128

Michael Zheng vs Cameron Norrie: AI Prediction | Games, Spread, Aces & Double Faults

Michael Zheng

Rank: #144
38%
VS

Cameron Norrie

Rank: #29
62%
Expected Total Games: 38.0
Predicted Winner: Cameron Norrie

Why the Model Favors Cameron Norrie

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

Serve & return game +12.3 Michael Zheng
Overall strength +10.3 Cameron Norrie
Recent form +7.6 Cameron Norrie
Recent record by level +7.1 Cameron Norrie
Age +5.0 Michael Zheng

Starting from an even matchup, these factors move the model to 62% for Cameron Norrie. 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: 81.7
ELO Rating: 1705.3
Glicko2 Rating: 1698.7
Current Fatigue (minutes): 522.0
Surface Strength:
Hard: 16.6
Clay: 16.6
Grass: 17.3
Serve Rating: 92.5
Return Rating: 93.1

Cameron Norrie

Form Index: 25.3
ELO Rating: 1648.3
Glicko2 Rating: 1718.9
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 33.1
Clay: 22.8
Grass: 27.3
Serve Rating: 96.0
Return Rating: 87.5

Recent Matches

Michael Zheng

  • Last Match: vs Colton Smith (3-1) grass Wimbledon 174 min
  • 2nd Last Match: vs Laslo Djere (2-0) grass Wimbledon 174 min
  • 3rd Last Match: vs Henri Squire (2-0) grass Wimbledon 174 min
  • 4th Last Match: vs Dino Prizmic (0-3) clay Roland Garros 174 min
  • 5th Last Match: vs Jesper de Jong (2-0) clay Roland Garros 174 min

Cameron Norrie

Head-to-Head (Last 2 Seasons)

0
Michael Zheng
vs
0
Cameron Norrie
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At Wimbledon in London, first-round play on grass pits Michael Zheng against Cameron Norrie in a Grand Slam opening match. The model favors Norrie, projecting a 62.01% chance of victory to Zheng’s 37.99%, with an expected total of about 38 games in the match.

Match Analysis

The model’s edge for Norrie is driven primarily by overall strength and recent form/record at tour level, while Zheng picks up weight from his serve & return game and youth. Norrie’s higher ranking (29 vs Zheng’s 144) and a slightly higher surface strength index (27.35 to Zheng’s 17.26) help explain the model’s tilt toward him, despite a lower Elo (1648.33 vs 1705.25). Norrie arrives with zero accumulated fatigue from this event, whereas Zheng has logged 522 minutes on court, a notable workload that could blunt his grass performance. Zheng posts the stronger form index (81.65) and marginally better Elo, and his return index (93.08) is meaningfully higher than Norrie’s (87.55) — a difference greater than five points that supports the model’s serve & return lift toward Zheng. Mean serve indices (Zheng 92.46, Norrie 95.96) are both high but the gap is under five points. Recent results diverge: Zheng has won his last three matches at Wimbledon, including a four-set victory most recently, while Norrie’s last three recorded matches are losses across both grass and clay, which feeds the model’s recent-form penalty for him.

Total Games Predictions

🎾
Expected Total Games in Match 38.0 Most likely outcome: 37 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Michael Zheng - Cameron Norrie) -1.4 Most likely spread: -2 (Cameron Norrie wins 2 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction for the match is elevated (predicted aces ~16.78) reflecting grass’s fast, low-bouncing characteristics that favor big servers. The double faults prediction is modest (expected double faults ~6.07). Neither player holds a significantly higher serve rating by the five-point threshold, so the expected ace count reflects strong serving from both rather than dominance by one.
🎯
Expected Total Aces 16.8 Most likely: 16 aces
Expected Total Double Faults 6.1 Most likely: 6 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Michael Zheng versus Cameron Norrie. 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 Cameron Norrie. 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 Michael Zheng versus Cameron Norrie. 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 Michael Zheng versus Cameron Norrie. 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

40.5% Predicted: No tiebreak

Exact Score Distribution BO5

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

0-3 Most likely set score (28.0%)
Probability distribution of the final set score from Michael Zheng's perspective. Format: BO5.

Final Prediction

Norrie’s overall strength and recent-form metrics are the decisive model drivers toward him, despite Zheng’s superior recent match wins and return numbers. The key factor to watch will be Zheng’s physical freshness after heavy minutes — if his fatigue shows, Norrie’s edge should prevail.

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