Cincinnati OH, U.S.A. Hard Masters 1000 Round of 128

Sebastian Baez vs Grigor Dimitrov: AI Prediction | Games, Spread, Aces & Double Faults

Sebastian Baez

Rank: #48
52%
VS

Grigor Dimitrov

Rank: #137
48%
Expected Total Games: 22.1
Predicted Winner: Sebastian Baez

Why the Model Favors Sebastian Baez

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

Age +4.2 Sebastian Baez
Serve & return game +3.9 Grigor Dimitrov
Recent form +3.2 Sebastian Baez
Surface fit +2.0 Grigor Dimitrov
Overall strength +0.7 Sebastian Baez

Starting from an even matchup, these factors move the model to 52% for Sebastian Baez. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →

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Player Metrics

Sebastian Baez

Form Index: 38.2
ELO Rating: 1603.8
Glicko2 Rating: 1708.8
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 19.1
Clay: 17.8
Grass: 9.7
Serve Rating: 95.7
Return Rating: 90.6

Grigor Dimitrov

Form Index: 38.2
ELO Rating: 1655.0
Glicko2 Rating: 1641.2
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 22.2
Clay: 12.8
Grass: 25.8
Serve Rating: 95.0
Return Rating: 85.9

Recent Matches

Sebastian Baez

Grigor Dimitrov

Head-to-Head (Last 2 Seasons)

0
Sebastian Baez
vs
0
Grigor Dimitrov
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Cincinnati, Ohio. Round of 128 on outdoor hard courts at a Masters 1000 event. The model gives Sebastian Baez the narrow edge. Predicted winner: Sebastian Baez 51.84%. Grigor Dimitrov 48.16%. Predicted total games in the match: about 22.1.

Match Analysis

The model's edge for Baez comes mainly from age and recent form, while Dimitrov picks up credit from his serve and return package and slightly better surface fit. Baez arrives ranked 48 with an Elo of 1603.8, a form index of 38.17 and zero tournament fatigue. Dimitrov sits lower in the rankings at 137 but carries a higher Elo of 1655.0, a comparable form index of 38.24 and likewise no fatigue. Surface strength indices are modest for both players, 19.14 for Baez and 22.19 for Dimitrov, so neither is a dominant hard court specialist, though Dimitrov is rated a touch higher on this surface. Looking deeper at serving and returning numbers, the mean serve indices are nearly identical: Baez 95.70, Dimitrov 95.04, so no meaningful serve gap. Baez has a stronger mean return index at 90.63 versus Dimitrov at 85.95, but the model still assigns a serve and return advantage to Dimitrov when combined with his higher Elo and match experience. Recent match form supports Baez slightly. His last three matches include a win over Mattia Bellucci and losses to Zizou Bergs and Yannick Hanfmann across Toronto and Kitzbuhel. Dimitrov has one solid three-set win over Dalibor Svrcina and losses to Nuno Borges and Arthur Fery, including a long match at Wimbledon.

Total Games Predictions

🎾
Expected Total Games in Match 22.1 Most likely outcome: 22 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Sebastian Baez versus Grigor Dimitrov. 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 Sebastian Baez versus Grigor Dimitrov. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Sebastian Baez - Grigor Dimitrov) +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 Sebastian Baez versus Grigor Dimitrov. Positive values indicate Sebastian Baez winning more games, negative values indicate Grigor Dimitrov winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Sebastian Baez versus Grigor Dimitrov. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

Aces prediction: the model expects about 9.35 aces in the match. Predicted aces are moderate, which fits the medium-paced hard court that balances big serving and returning. Double faults prediction: total expected double faults are about 6.55. Neither player posts a significantly higher serve rating to suggest a skewed ace count, so the expected aces and expected double faults reflect two evenly matched servers on hard courts.
🎯
Expected Total Aces 9.3 Most likely: 9 aces
Expected Total Double Faults 6.5 Most likely: 6 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Sebastian Baez versus Grigor Dimitrov. 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 Sebastian Baez versus Grigor Dimitrov. 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 Sebastian Baez versus Grigor Dimitrov. The chart shows the predicted probability for each double-fault count.
Cumulative Probability (CDF)

Probability of double faults ≤ X

Cumulative distribution function chart for double faults in Sebastian Baez versus Grigor Dimitrov. 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

28.9% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Sebastian Baez's perspective)

0-2 Most likely set score (29.2%)
Probability distribution of the final set score from Sebastian Baez's perspective. Format: BO3.

Final Prediction

Baez’s narrow projected edge stems primarily from the age factor and a slight recent form advantage. Watch the returning battle as a key factor: Baez’s higher return index could decide close service games and tilt a short match in his favor.

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