Wimbledon Great Britain Grass Grand Slam Round of 64

Nicolas Mejia vs Michael Zheng: AI Prediction | Games, Spread, Aces & Double Faults

Nicolas Mejia

Rank: #165
31%
VS

Michael Zheng

Rank: #144
69%
Expected Total Games: 42.5
Predicted Winner: Michael Zheng

Why the Model Favors Michael Zheng

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

Surface fit +6.5 Michael Zheng
Fatigue & recent workload +3.1 Michael Zheng
Overall strength +2.9 Nicolas Mejia
Overall record & opposition quality +2.1 Michael Zheng
Serve & return game +2.1 Michael Zheng

Starting from an even matchup, these factors move the model to 69% 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

Nicolas Mejia

Form Index: 66.9
ELO Rating: 1634.4
Glicko2 Rating: 1564.4
Current Fatigue (minutes): 696.0
Surface Strength:
Hard: 7.4
Clay: 12.4
Grass: 19.6
Serve Rating: 94.7
Return Rating: 94.5

Michael Zheng

Form Index: 89.8
ELO Rating: 1739.7
Glicko2 Rating: 1735.0
Current Fatigue (minutes): 696.0
Surface Strength:
Hard: 16.9
Clay: 16.6
Grass: 21.7
Serve Rating: 91.8
Return Rating: 86.6

Recent Matches

Nicolas Mejia

Michael Zheng

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

Head-to-Head (Last 2 Seasons)

0
Nicolas Mejia
vs
0
Michael Zheng
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At Wimbledon in London, round of 64 on grass, Michael Zheng is favored to advance in this grand slam clash against Nicolas Mejia. The model projects Zheng to win with a 69.26% probability to Mejia’s 30.74%, and forecasts about 42.5 total games in the match.

Match Analysis

The model’s edge for Zheng comes mainly from surface fit (+6.5 points) and fatigue/recent workload (+3.1), with additional support from overall record & opposition quality (+2.1) and serve & return metrics (+2.1). Zheng’s higher Elo (1739.7 vs 1634.4) and superior form index (89.82 vs 66.85) underpin much of that confidence: he arrives with stronger momentum and a higher ranking (144 vs 165). Both players show identical cumulative fatigue listed (696 minutes), but the engine still favored Zheng on recent workload, reflecting the nature of his wins through the draw. Mejia brings useful tools too. His mean serve index (94.70) is slightly above Zheng’s (91.76), though the gap is under the 5-point threshold so not decisive. Mejia’s mean return index (94.55) is notably higher than Zheng’s (86.62) — a difference greater than 5 points that could create opportunities on return games. Recent results show both men in form: Mejia has three straight wins at Wimbledon (including a 3-0 and a 3-1), while Zheng also carries three wins, including a 3-2 victory that demonstrates resilience in longer matches. Overall strength nudges slightly toward Mejia (+2.9), but the cumulative model factors keep Zheng in front.

Total Games Predictions

🎾
Expected Total Games in Match 42.5 Most likely outcome: 42 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Nicolas Mejia 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 Nicolas Mejia 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 (Nicolas Mejia - Michael Zheng) -2.7 Most likely spread: -3 (Michael Zheng wins 3 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Nicolas Mejia versus Michael Zheng. Positive values indicate Nicolas Mejia 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 Nicolas Mejia versus Michael Zheng. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for the clash sits at a predicted aces total of about 17.27 — reasonable for grass, where big serves are rewarded. The double faults prediction is lower, with expected double faults around 6.75 for the match. Neither player posts a significantly higher serve rating, so predicted aces are driven more by surface speed than a single dominant server; Mejia’s superior return could marginally suppress Zheng’s ace opportunities.
🎯
Expected Total Aces 17.3 Most likely: 17 aces
Expected Total Double Faults 6.8 Most likely: 6 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Nicolas Mejia 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 Nicolas Mejia 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 Nicolas Mejia versus Michael Zheng. 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 Nicolas Mejia 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

38.7% Predicted: No tiebreak

Exact Score Distribution BO5

Probability of each set-by-set outcome (Nicolas Mejia's perspective)

0-3 Most likely set score (41.8%)
Probability distribution of the final set score from Nicolas Mejia's perspective. Format: BO5.

Final Prediction

Zheng’s advantage is driven primarily by the model’s surface-fit assessment and his superior form/Elo. Watch Mejia’s return game as the key variable — if he converts on return pressure, he can tilt what otherwise looks like a Zheng-favored projection.

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