Wimbledon Great Britain Grass Grand Slam Round of 32

Marcos Giron vs Alexander Zverev: AI Prediction | Games, Spread, Aces & Double Faults

Marcos Giron

Rank: #92
9%
VS

Alexander Zverev

Rank: #3
91%
Expected Total Games: 36.1
Predicted Winner: Alexander Zverev

Why the Model Favors Alexander Zverev

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

Overall strength +11.2 Alexander Zverev
Surface fit +8.0 Alexander Zverev
Recent record by level +7.5 Alexander Zverev
Serve & return game +6.6 Alexander Zverev
Overall record & opposition quality +1.7 Alexander Zverev

Starting from an even matchup, these factors move the model to 91% for Alexander Zverev. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Marcos Giron

Form Index: 50.5
ELO Rating: 1602.8
Glicko2 Rating: 1641.6
Current Fatigue (minutes): 348.0
Surface Strength:
Hard: 15.9
Clay: 8.6
Grass: 17.5
Serve Rating: 96.7
Return Rating: 93.6

Alexander Zverev

Form Index: 72.9
ELO Rating: 2151.2
Glicko2 Rating: 2075.5
Current Fatigue (minutes): 348.0
Surface Strength:
Hard: 55.1
Clay: 57.1
Grass: 40.7
Serve Rating: 97.1
Return Rating: 88.1

Recent Matches

Marcos Giron

  • Last Match: vs Quentin Halys (3-0) grass Wimbledon 174 min
  • 2nd Last Match: vs Corentin Moutet (3-1) grass Wimbledon 174 min
  • 3rd Last Match: vs Jack Draper (0-2) grass Eastbourne 85 min
  • 4th Last Match: vs Jan Choinski (1-2) grass Eastbourne 166 min
  • 5th Last Match: vs Charles Broom (2-1) grass Eastbourne 119 min

Alexander Zverev

Head-to-Head (Last 2 Seasons)

0
Marcos Giron
vs
1
Alexander Zverev
Hard
0 - 0
Clay
0 - 0
Grass
0 - 1

Key Prediction Insights

This Round of 32 clash at Wimbledon in Great Britain pits Marcos Giron against No.3 seed Alexander Zverev on grass in a Grand Slam setting. The model strongly favors Zverev (90.67%) over Giron (9.33%), with a predicted total of about 36.15 games in the match.

Match Analysis

The model’s edge for Zverev comes mainly from overall strength and surface fit: those two factors together account for nearly 20 percentage points of the forecast. Zverev’s Elo (2151) and rank (3) sit well above Giron’s Elo (1603) and rank (92), and his higher surface strength index (40.75 vs 17.50) explains much of the grass-court advantage. Recent record by level and serve & return metrics also push the prediction toward Zverev, reflecting consistent deeper runs and superior results against higher-quality opponents recently. Looking at the raw numbers, Zverev brings a higher form index (72.95 vs 50.46) and a marginally better mean serve index (97.07 vs 96.67), while Giron posts a stronger mean return index (93.59 vs 88.14) — a difference of just over 5 points that favors Giron on returns. Both arrive with identical tournament fatigue (348 minutes), so stamina from minutes on court is a wash. Over their last three matches at grass events, Giron has won two long Wimbledon matches (beating Halys and Moutet) after a prior loss at Eastbourne; Zverev likewise has back-to-back wins at Wimbledon following a loss to Fritz in Halle. Those recent wins speak to form, but they don’t offset the gap in ranking, Elo and grass-specific strength.

Total Games Predictions

🎾
Expected Total Games in Match 36.1 Most likely outcome: 36 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Marcos Giron versus Alexander Zverev. 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 Marcos Giron versus Alexander Zverev. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Marcos Giron - Alexander Zverev) -5.5 Most likely spread: -6 (Alexander Zverev wins 6 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Marcos Giron versus Alexander Zverev. Positive values indicate Marcos Giron winning more games, negative values indicate Alexander Zverev winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Marcos Giron versus Alexander Zverev. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for this contest is high: the model’s predicted aces total is 19.7 for the match, reflecting grass as the fastest surface and its tendency to boost serve dominance. Expected double faults are moderate at 6.1; given both players have very high serve indexes near 97, the predicted aces count is driven by big, flat serving rather than a large serve-rating gap. This expected double faults figure aligns with two powerful servers who generally keep second serves under control.
🎯
Expected Total Aces 19.7 Most likely: 19 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 Marcos Giron versus Alexander Zverev. 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 Marcos Giron versus Alexander Zverev. 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 Marcos Giron versus Alexander Zverev. 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 Marcos Giron versus Alexander Zverev. 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

54.4% Predicted: Tiebreak likely

Exact Score Distribution BO5

Probability of each set-by-set outcome (Marcos Giron's perspective)

0-3 Most likely set score (60.4%)
Probability distribution of the final set score from Marcos Giron's perspective. Format: BO5.

Final Prediction

Zverev’s clear overall strength — the model’s top driving factor — gives him the edge here, reinforced by a far stronger grass fit. Watch the surface interplay between Zverev’s baseline power and Giron’s above-average return index; an early break or a short, serving-dominated set could be decisive.

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