Cincinnati Cincinnati, USA Hard Wta 1000 Round of 32

Coco Gauff vs Marta Kostyuk: AI Prediction | Games, Spread, Aces & Double Faults

Coco Gauff

Rank: #4
54%
VS

Marta Kostyuk

Rank: #11
46%
Expected Total Games: 20.4
Predicted Winner: Coco Gauff

Why the Model Favors Coco Gauff

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

Overall strength +9.8 Coco Gauff
Overall record & opposition quality +4.4 Marta Kostyuk
Serve & return game +2.7 Marta Kostyuk
Surface fit +2.2 Coco Gauff
Head-to-head +1.9 Marta Kostyuk

Starting from an even matchup, these factors move the model to 54% for Coco Gauff. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →

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Player Metrics

Coco Gauff

Form Index: 55.0
ELO Rating: 2017.8
Glicko2 Rating: 2087.1
Current Fatigue (minutes): 219.0
Surface Strength:
Hard: 70.3
Clay: 61.0
Grass: 59.7
Serve Rating: 95.8
Return Rating: 95.6

Marta Kostyuk

Form Index: 67.0
ELO Rating: 2043.8
Glicko2 Rating: 2099.1
Current Fatigue (minutes): 243.0
Surface Strength:
Hard: 52.2
Clay: 61.5
Grass: 38.9
Serve Rating: 95.7
Return Rating: 89.0

Recent Matches

Coco Gauff

Marta Kostyuk

  • Last Match: vs Sloane Stephens (2-0) hard Cincinnati 100 min
  • 2nd Last Match: vs Sofia Kenin (2-1) hard Cincinnati 143 min
  • 3rd Last Match: vs Iga Swiatek (1-2) hard Montreal 130 min
  • 4th Last Match: vs Madison Keys (2-0) hard Montreal 72 min
  • 5th Last Match: vs Katherine Sebov (2-0) hard Montreal 78 min

Head-to-Head (Last 2 Seasons)

0
Coco Gauff
vs
1
Marta Kostyuk
Hard
0 - 1
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Cincinnati, Round of 32, hard court, WTA 1000 level. Coco Gauff is narrowly favored to win this match. Predicted winner: Coco Gauff 53.58% versus Marta Kostyuk 46.42%. The model expects about 20.43 total games in the match.

Match Analysis

The model's edge for Gauff comes mainly from overall strength, which adds 9.8 percentage points to her side, and a favorable surface fit adding 2.2 points. Those positives are tempered by Kostyuk gaining 4.4 points from overall record and opposition quality, 2.7 points from serve and return metrics, and a 1.9 point head-to-head tilt toward Kostyuk. Coco sits higher in the rankings at 4 versus Kostyuk at 11, and Gauff has a strong surface strength index of 70.28 compared with Kostyuk at 52.24. Elo ratings are tighter, with Kostyuk at 2043.8 and Gauff at 2017.8, which helps explain some of Kostyuk's probability push. Fatigue is relevant here: Gauff has logged 219 minutes in the event, Kostyuk 243 minutes. Serve numbers are almost identical, so neither player holds a clear serving advantage based on mean serve index. The mean return index is a notable gap. Gauff posts 95.61 versus Kostyuk 89.00, a difference greater than five points that favors Gauff as a returner. Recent form shows Kostyuk with wins over Sloane Stephens and Sofia Kenin in Cincinnati and a loss to Iga Swiatek in Montreal. Gauff has won two Cincinnati matches, over Ann Li and Liudmila Samsonova, and lost to Elena Rybakina in Montreal. Durations suggest both have had some long matches in the build up.

Total Games Predictions

🎾
Expected Total Games in Match 20.4 Most likely outcome: 20 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Coco Gauff versus Marta Kostyuk. 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 Coco Gauff versus Marta Kostyuk. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Coco Gauff - Marta Kostyuk) -0.0 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 Coco Gauff versus Marta Kostyuk. Positive values indicate Coco Gauff winning more games, negative values indicate Marta Kostyuk winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Coco Gauff versus Marta Kostyuk. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

Aces prediction is modest for this match with predicted aces at 4.22 combined. The surface is medium pace and tends to produce a moderate number of aces compared with grass or clay. Double faults prediction is higher than one might expect for a short hard court duel, with expected double faults at 9.58 combined. Neither player shows a significantly higher serve rating, so the ace count is driven more by match conditions than a single dominant server.
🎯
Expected Total Aces 4.2 Most likely: 4 aces
Expected Total Double Faults 9.6 Most likely: 9 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Coco Gauff versus Marta Kostyuk. 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 Coco Gauff versus Marta Kostyuk. 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 Coco Gauff versus Marta Kostyuk. 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 Coco Gauff versus Marta Kostyuk. 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

22.9% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Coco Gauff's perspective)

2-0 Most likely set score (35.8%)
Probability distribution of the final set score from Coco Gauff's perspective. Format: BO3.

Final Prediction

Gauff’s projected edge stems chiefly from overall strength on paper, aided by a stronger hard court profile. The key factor to watch will be return performance, where Gauff’s superior numbers can pressure Kostyuk’s service games and shape the outcome.

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