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

Taylor Fritz vs Ben Shelton: AI Prediction | Games, Spread, Aces & Double Faults

Taylor Fritz

Rank: #7
50%
VS

Ben Shelton

Rank: #9
50%
Expected Total Games: 24.0
Predicted Winner: Ben Shelton

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Player Metrics

Taylor Fritz

Form Index: 68.4
ELO Rating: 3807.0
Glicko2 Rating: 2033.5
Current Fatigue (minutes): 486.0
Surface Strength:
Hard: 21.8
Clay: 27.8
Grass: 32.0
Serve Rating: 84.3
Return Rating: 40.6

Ben Shelton

Form Index: 80.4
ELO Rating: 3844.9
Glicko2 Rating: 1755.1
Current Fatigue (minutes): 531.0
Surface Strength:
Hard: 25.6
Clay: 32.1
Grass: 32.5
Serve Rating: 98.2
Return Rating: 89.2

Recent Matches

Taylor Fritz

Ben Shelton

Head-to-Head (Last 2 Seasons)

0
Taylor Fritz
vs
1
Ben Shelton
Hard
0 - 1
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

This is the Dallas final in Texas, a hard-court match at a 500-level event. The model gives Ben Shelton a very narrow edge: Shelton 50.14% to Taylor Fritz 49.86%, with a predicted total of about 23.98 games in the match.

Match Analysis

Fritz arrives as the higher-ranked player (No. 7) with a solid form index (68.37) and an Elo of 3806.98. He has logged 486 minutes on court in Dallas and carries a surface strength index of 21.78. Shelton (rank 9) shows a stronger form index (80.45) and a slightly higher Elo (3844.93) but has accumulated more fatigue (531 minutes). The difference in mean serve index is notable: Shelton’s 98.18 vs Fritz’s 84.31 (a gap >5 points), and the mean return index gap is even larger — Shelton 89.24 vs Fritz 40.62 — both of which favor Shelton and should influence short-point outcomes. Recent match patterns differ: Fritz has been efficient, winning his last three matches in Dallas (two straight-set wins and one three-set), with match times ranging from 69 to 149 minutes. Shelton has also been unbeaten here but his three wins have generally gone three sets or longer (matches of 118–160 minutes), suggesting resilience in tight encounters. Both players have shown consistency through the draw; Fritz’s wins include a straight-sets victory over Marin Cilic, while Shelton’s path features multiple 2–1 victories against strong opponents.

Total Games Predictions

🎾
Expected Total Games in Match 24.0 Most likely outcome: 24 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Taylor Fritz - Ben Shelton) +6.5 Most likely spread: +8 (Taylor Fritz wins 8 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Taylor Fritz versus Ben Shelton. Positive values indicate Taylor Fritz winning more games, negative values indicate Ben Shelton winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction for the final is 8.89 total; predicted aces skew toward the player with the heavier serve. Expected double faults are 6.37 for the match. On a medium-paced hard court — which balances serve and return effectiveness — these figures are reasonable: hard courts produce a moderate ace count compared with grass or clay. Given Shelton’s significantly higher mean serve index, he is likely to drive a larger share of the predicted aces.
🎯
Expected Total Aces 8.9 Most likely: 8 aces
Expected Total Double Faults 6.4 Most likely: 6 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

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

Final Prediction

Shelton’s slight edge comes from superior serve and return indices and a higher form/Elo profile despite heavier fatigue. The critical factor to watch will be Shelton’s serve+return interplay in short points — if Fritz can neutralize that early, the match swings back toward him.

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