Washington DC, U.S.A. Hard Atp 500 Round of 32

Marcos Giron vs Cruz Hewitt: AI Prediction | Games, Spread, Aces & Double Faults

Marcos Giron

Rank: #85
76%
VS

Cruz Hewitt

Rank: #1000
24%
Expected Total Games: 24.6
Predicted Winner: Marcos Giron

Why the Model Favors Marcos Giron

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

Overall strength +15.3 Marcos Giron
Serve & return game +5.5 Marcos Giron
Recent form +4.9 Marcos Giron
Recent record by level +3.2 Marcos Giron
Surface fit +2.9 Cruz Hewitt

Starting from an even matchup, these factors move the model to 76% for Marcos Giron. 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: 54.4
ELO Rating: 1628.2
Glicko2 Rating: 1657.6
Current Fatigue (minutes): 192.0
Surface Strength:
Hard: 18.4
Clay: 8.6
Grass: 16.3
Serve Rating: 96.6
Return Rating: 89.2

Cruz Hewitt

Form Index: 32.5
ELO Rating: 1517.8
Glicko2 Rating: 1689.4
Current Fatigue (minutes): 131.0
Surface Strength:
Hard: 9.0
Clay: 9.8
Grass: 4.5
Serve Rating: 92.3
Return Rating: 88.7

Recent Matches

Marcos Giron

  • Last Match: vs Andre Ilagan (2-0) hard Washington 100 min
  • 2nd Last Match: vs Aryan Shah (2-0) hard Washington 92 min
  • 3rd Last Match: vs Alexander Zverev (0-3) grass Wimbledon 174 min
  • 4th Last Match: vs Quentin Halys (3-0) grass Wimbledon 174 min
  • 5th Last Match: vs Corentin Moutet (3-1) grass Wimbledon 174 min

Cruz Hewitt

Head-to-Head (Last 2 Seasons)

0
Marcos Giron
vs
0
Cruz Hewitt
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

This Washington 500-level event in DC moves into the round of 32 on hard courts, where Marcos Giron meets Cruz Hewitt. The model projects Giron to win (75.68% chance) against Hewitt (24.32%), with a relatively short match expected — about 24.6 total games.

Match Analysis

The model’s edge for Giron comes mainly from overall strength (+15.3 percentage points) and a superior serve & return profile (+5.5 pp), with recent form (+4.9 pp) and recent record by level (+3.2 pp) also pushing the prediction his way; a small surface-fit lift of 2.9 pp is shown for Hewitt. Translating that into numbers: Giron is the higher-ranked player (No. 85) with an Elo of 1628.2 and a form index of 54.36, while Hewitt sits at rank 1000 with an Elo of 1517.8 and a form index of 32.46. Giron’s mean serve index (96.62) and mean return index (89.21) are both strong and underpin the serve/return advantage noted by the model; Hewitt posts decent serve/return metrics as well (serve 92.29, return 88.67), but they do not match Giron’s levels. Fatigue is a factor: Giron has logged 192 minutes in this event versus Hewitt’s 131, which could blunt Giron’s physical edge if rallies extend. Surface strength indices are modest for both (Giron 18.39; Hewitt 9.01), yet the explainability output still registers a small surface-fit edge toward Hewitt. Looking at recent matches, Giron has won his two Washington matches (straight sets vs Aryan Shah and Andre Ilagan) after a straight-sets loss to Alexander Zverev at Wimbledon. Hewitt has won twice in Washington — beating Zachary Svajda and Dusan Lajovic — but lost earlier at the Australian Open.

Total Games Predictions

🎾
Expected Total Games in Match 24.6 Most likely outcome: 24 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Marcos Giron - Cruz Hewitt) +4.3 Most likely spread: +5 (Marcos Giron wins 5 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction for this match sits at about 8.15 total and the expected double faults are roughly 4.86. On hard courts, a medium-paced surface with a consistent bounce, the predicted aces reflect a moderate serving environment — not as high as grass, higher than clay. Given Giron’s slightly higher mean serve index, the predicted aces figure leans toward him supplying a larger share of the predicted aces; the double faults prediction accounts for both players’ serving workloads in the event.
🎯
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 Marcos Giron versus Cruz Hewitt. 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 Cruz Hewitt. 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 Cruz Hewitt. 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 Cruz Hewitt. 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

25.4% Predicted: No tiebreak

Exact Score Distribution BO3

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

2-0 Most likely set score (50.3%)
Probability distribution of the final set score from Marcos Giron's perspective. Format: BO3.

Final Prediction

Giron’s clear overall strength advantage is the dominant reason he’s favored in DC. Watch his serve-and-return balance early in the match: if fatigue or return pressure reduces his margins, the contest could lengthen beyond the sub-25-game projection.

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