Dallas TX, U.S.A. Hard Atp 500 Semifinals

Taylor Fritz vs Marin Cilic: AI Prediction | Games, Spread, Aces & Double Faults

Taylor Fritz

Rank: #7
69%
VS

Marin Cilic

Rank: #61
31%
Expected Total Games: 23.4
Predicted Winner: Taylor Fritz

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Player Metrics

Taylor Fritz

Form Index: 72.7
ELO Rating: 3807.0
Glicko2 Rating: 2032.8
Current Fatigue (minutes): 364.0
Surface Strength:
Hard: 21.8
Clay: 27.8
Grass: 32.0
Serve Rating: 83.7
Return Rating: 41.7

Marin Cilic

Form Index: 70.3
ELO Rating: 1051.4
Glicko2 Rating: 1555.5
Current Fatigue (minutes): 284.0
Surface Strength:
Hard: 10.4
Clay: 5.9
Grass: 8.9
Serve Rating: 97.0
Return Rating: 87.8

Recent Matches

Taylor Fritz

Marin Cilic

Head-to-Head (Last 2 Seasons)

0
Taylor Fritz
vs
0
Marin Cilic
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

This is a semifinal at the Dallas 500-level event in TX, U.S.A., played on hard courts. Taylor Fritz is favored to win with a 68.63% probability versus Marin Cilic at 31.37%, and the model projects about 23.42 total games in the match.

Match Analysis

Fritz enters ranked 7 with a form index of 72.66 and an Elo of 3806.98; Cilic is ranked 61 with a form index of 70.28 and an Elo of 1051.42. Fritz carries more cumulative on-court minutes this week (364.0 vs 284.0), which slightly raises his fatigue profile. On hard courts Fritz shows a higher surface strength index (21.78) than Cilic (10.40), though both indices are modest in absolute terms. Serving and returning profiles diverge notably: Cilic’s mean serve index (96.98) exceeds Fritz’s (83.68) by more than 5 points, and Cilic’s mean return index (87.77) is markedly higher than Fritz’s (41.66). That combination suggests Cilic remains a serious serving threat while also producing strong returns by the provided indices. Over their last three matches at this event both players have been in winning form—Fritz won three consecutive matches including two long outings of 149 and 146 minutes, while Cilic has recorded three straight straight-set victories with shorter average durations—indicating fresher legs for Cilic but a higher match load for Fritz.

Total Games Predictions

🎾
Expected Total Games in Match 23.4 Most likely outcome: 23 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Taylor Fritz versus Marin Cilic. 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 Taylor Fritz versus Marin Cilic. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Taylor Fritz - Marin Cilic) +0.3 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 Taylor Fritz versus Marin Cilic. Positive values indicate Taylor Fritz winning more games, negative values indicate Marin Cilic winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Taylor Fritz versus Marin Cilic. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for the match is 15.35 total and the expected double faults are 3.91. On a medium-paced hard court this predicted aces figure aligns with a balance between powerful serving and return play; the predicted aces reflect Cilic’s superior serve index, which will likely drive the predicted ace total. The double faults prediction remains low, and the expected double faults number suggests both players should keep second-serve errors controlled.
🎯
Expected Total Aces 15.3 Most likely: 15 aces
Expected Total Double Faults 3.9 Most likely: 3 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Taylor Fritz versus Marin Cilic. 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 Taylor Fritz versus Marin Cilic. 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 Taylor Fritz versus Marin Cilic. 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 Taylor Fritz versus Marin Cilic. The curve shows the cumulative probability for each double faults threshold.

Final Prediction

Fritz’s edge comes from higher ranking, a much stronger Elo and slightly better surface index, offset partly by greater fatigue; these factors drive the 68.63% forecast. The key factor to watch is serve-versus-return dynamics—Cilic’s high serve and return indices could create short service holds, but Fritz’s overall match metrics favor him across the projected contest.

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