Cincinnati Cincinnati, USA Hard Wta 1000 Round of 32

Sara Bejlek vs Madison Keys: AI Prediction | Games, Spread, Aces & Double Faults

Sara Bejlek

Rank: #38
40%
VS

Madison Keys

Rank: #23
60%
Expected Total Games: 21.2
Predicted Winner: Madison Keys

Why the Model Favors Madison Keys

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

Serve & return game +9.1 Madison Keys
Overall strength +7.1 Madison Keys
Age +4.1 Sara Bejlek
Overall record & opposition quality +1.7 Sara Bejlek
Fatigue & recent workload +1.4 Sara Bejlek

Starting from an even matchup, these factors move the model to 60% for Madison Keys. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →

Also available in Claude and Perplexity. Query these predictions in plain language: our native connector lets your AI assistant call our models on demand, no code.

Set it up

Player Metrics

Sara Bejlek

Form Index: 52.8
ELO Rating: 1764.2
Glicko2 Rating: 1785.0
Current Fatigue (minutes): 290.0
Surface Strength:
Hard: 43.8
Clay: 17.5
Grass: 10.0
Serve Rating: 95.2
Return Rating: 94.1

Madison Keys

Form Index: 48.9
ELO Rating: 1911.4
Glicko2 Rating: 1948.5
Current Fatigue (minutes): 205.0
Surface Strength:
Hard: 50.1
Clay: 45.3
Grass: 51.4
Serve Rating: 96.9
Return Rating: 87.3

Recent Matches

Sara Bejlek

Madison Keys

Head-to-Head (Last 2 Seasons)

0
Sara Bejlek
vs
0
Madison Keys
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Cincinnati, hard courts, Round of 32 at a WTA 1000 level sets the stage for Sara Bejlek against Madison Keys. The model favors Madison Keys, 59.73 percent to 40.27 percent for Bejlek, with a predicted total of about 21.25 games in the match.

Match Analysis

The model's edge for Keys comes mainly from the serve and return game and overall strength. Keys carries a higher Elo at 1911 versus Bejlek's 1764 and sits inside the top 25 with a 23 ranking compared with Bejlek at 38. Those differences account for about 16.2 percentage points of the prediction in Keys favor when combined. Keys also posts a slightly higher mean serve index, 96.87 versus 95.16, but the gap is under the 5 point threshold so serve power alone is not decisive. Bejlek earns small advantages on age and recent workload in the model. She has a superior mean return index, 94.10 to Keys 87.29, a gap greater than 5 points that suggests she will press Keys on second serve and neutralize free points. Fatigue numbers show Bejlek has already spent 290 minutes on court at this event versus Keys at 205 minutes. Despite the heavier workload, Bejlek has ridden strong form into this match, winning her last three hard court matches here, including wins over Ekaterina Alexandrova and Barbora Krejcikova. Keys has won two of her last three, with straight set wins in Cincinnati versus Katerina Siniakova and a longer three set against Daria Snigur, and a loss in Montreal to Marta Kostyuk.

Total Games Predictions

🎾
Expected Total Games in Match 21.2 Most likely outcome: 21 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Sara Bejlek versus Madison Keys. 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 Sara Bejlek versus Madison Keys. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Sara Bejlek - Madison Keys) -1.6 Most likely spread: -2 (Madison Keys wins 2 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Sara Bejlek versus Madison Keys. Positive values indicate Sara Bejlek winning more games, negative values indicate Madison Keys winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Sara Bejlek versus Madison Keys. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

Aces prediction is modest with predicted aces at about 3.71 for the match, reflecting hard courts that produce a medium ace count. Expected double faults are higher at 7.83, so a double faults prediction is relevant in tight service games. Since neither player has a significantly higher serve rating, the ace count should stay moderate and Bejlek's superior return could further limit Keys' free points.
🎯
Expected Total Aces 3.7 Most likely: 3 aces
Expected Total Double Faults 7.8 Most likely: 7 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Sara Bejlek versus Madison Keys. 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 Sara Bejlek versus Madison Keys. 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 Sara Bejlek versus Madison Keys. 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 Sara Bejlek versus Madison Keys. 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

17.7% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Sara Bejlek's perspective)

0-2 Most likely set score (45.9%)
Probability distribution of the final set score from Sara Bejlek's perspective. Format: BO3.

Final Prediction

Keys' edge stems primarily from the serve and return game and overall strength metrics. The key factor to watch is Bejlek's return effectiveness against Keys' serve, which could swing the shorter match predicted by the model.

Get Daily Tennis Predictions

Enjoyed this analysis? Subscribe to our Telegram channel and receive daily AI-driven tennis predictions directly on your phone.

Join Our Telegram Channel