Delray Beach FL, U.S.A. Hard Atp 250 Quarterfinals

Taylor Fritz vs Tommy Paul: AI Prediction | Games, Spread, Aces & Double Faults

Taylor Fritz

Rank: #7
63%
VS

Tommy Paul

Rank: #24
37%
Expected Total Games: 23.7
Predicted Winner: Taylor Fritz

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Player Metrics

Taylor Fritz

Form Index: 61.8
ELO Rating: 3781.4
Glicko2 Rating: 2028.1
Current Fatigue (minutes): 106.0
Surface Strength:
Hard: 21.7
Clay: 27.9
Grass: 32.6
Serve Rating: 84.9
Return Rating: 41.5

Tommy Paul

Form Index: 62.4
ELO Rating: 1869.1
Glicko2 Rating: 1810.1
Current Fatigue (minutes): 247.0
Surface Strength:
Hard: 15.2
Clay: 18.6
Grass: 15.8
Serve Rating: 96.4
Return Rating: 90.1

Recent Matches

Taylor Fritz

Tommy Paul

Head-to-Head (Last 2 Seasons)

0
Taylor Fritz
vs
0
Tommy Paul
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Quarterfinal action in Delray Beach, FL on hard courts pits world No. 7 Taylor Fritz against No. 24 Tommy Paul in an ATP 250-level event. The model favors Taylor Fritz to win (62.55% chance) over Tommy Paul (37.45%), with a projected total of about 23.74 games in the match.

Match Analysis

Fritz arrives with a higher rank (7), a substantially stronger Elo (3781.37) and a slightly lower cumulative fatigue (106 minutes) than Paul, whose fatigue is 247 minutes. Fritz’s surface strength index (21.65) is modestly better than Paul’s (15.24). Form indices are nearly identical (Fritz 61.76, Paul 62.43), so recent match rhythm is comparable despite the gap in court time. Serve and return profiles show notable contrasts: Paul’s mean serve index (96.38) is more than 11 points higher than Fritz’s (84.94), while Paul’s mean return index (90.13) far exceeds Fritz’s (41.45). Those differences suggest Paul can both serve big and pressure opponents’ serves, but the heavy workload in this event may blunt that edge. Over their last three matches each, Fritz is 2-1 (wins over Rafael Jodar and Marin Cilic; loss to Ben Shelton) with match times averaging long rallies, while Paul is also 2-1 (wins vs. Adam Walton and Corentin Moutet; loss to Miomir Kecmanovic) including a marathon 150-minute contest. The combination of Fritz’s superior Elo and lower in-tournament fatigue partly explains the model’s tilt toward him.

Total Games Predictions

🎾
Expected Total Games in Match 23.7 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 Tommy Paul. 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 Tommy Paul. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Taylor Fritz - Tommy Paul) -0.5 Most likely spread: -1 (Tommy Paul wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction for this hard-court match is modest: the model projects about 6.72 total aces and 4.11 expected double faults. Hard courts produce a balanced number of service winners compared with grass or clay, so the predicted aces align with surface pace and bounce. Given Paul’s significantly higher serve rating, the predicted aces count could be influenced upward by his service games, while double faults prediction remains moderate.
🎯
Expected Total Aces 6.7 Most likely: 6 aces
Expected Total Double Faults 4.1 Most likely: 4 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

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

Final Prediction

Fritz’s edge comes from higher ranking, a dominant Elo differential and noticeably less accumulated court time in this event. A key factor to watch is whether Paul’s serving firepower can overcome his fatigue — if it does, the match could be tighter than the probabilities suggest.

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