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

J.J. Wolf vs James Duckworth: AI Prediction | Games, Spread, Aces & Double Faults

J.J. Wolf

Rank: #282
42%
VS

James Duckworth

Rank: #86
58%
Expected Total Games: 27.3
Predicted Winner: James Duckworth

Why the Model Favors James Duckworth

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

Overall strength +5.3 James Duckworth
Recent form +5.0 James Duckworth
Serve & return game +2.4 J.J. Wolf
Fatigue & recent workload +1.9 James Duckworth
Age +1.8 J.J. Wolf

Starting from an even matchup, these factors move the model to 58% for James Duckworth. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →

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Player Metrics

J.J. Wolf

Form Index: 45.8
ELO Rating: 1565.4
Glicko2 Rating: 1724.2
Current Fatigue (minutes): 243.0
Surface Strength:
Hard: 14.5
Clay: 8.7
Grass: 4.5
Serve Rating: 96.4
Return Rating: 87.3

James Duckworth

Form Index: 38.0
ELO Rating: 1537.1
Glicko2 Rating: 1511.1
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 15.8
Clay: 9.6
Grass: 11.1
Serve Rating: 95.7
Return Rating: 84.4

Recent Matches

J.J. Wolf

James Duckworth

  • Last Match: vs Alex de Minaur (0-2) hard Toronto 106 min
  • 2nd Last Match: vs Christopher O'Connell (2-0) hard Toronto 72 min
  • 3rd Last Match: vs Cameron Norrie (0-2) hard Los Cabos 91 min
  • 4th Last Match: vs Aidan Mayo (2-1) hard Los Cabos 132 min
  • 5th Last Match: vs Flavio Cobolli (1-3) grass Wimbledon 174 min

Head-to-Head (Last 2 Seasons)

0
J.J. Wolf
vs
0
James Duckworth
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Cincinnati, Ohio. Round of 128 on hard courts at a Masters 1000 event. The model favors James Duckworth to advance, with a 58.03% chance of victory versus a 41.97% chance for J.J. Wolf. The match is expected to be fairly short on games, with a projected total of 27.33 games.

Match Analysis

The model's edge for Duckworth comes primarily from overall strength and recent form. That manifests in a clear ranking gap: Duckworth sits at 86 while Wolf is 282. Duckworth also enters this match with zero minutes of accumulated fatigue at this event, compared with 243 minutes for Wolf. Those two factors are reflected in the model shifts toward Duckworth. Wolf does hold a marginally higher Elo rating at 1565.39 versus Duckworth at 1537.11, but the ranking and workload context swing the overall picture toward Duckworth. Serve and return metrics tilt slightly toward Wolf, which is why the model gives him a modest boost on that axis. Wolf posts a mean serve index of 96.38 and a mean return index of 87.31. Duckworth’s serve index is 95.72 and his return index is 84.43. Neither gap exceeds five points, so the serve battle should be closely contested rather than one-sided. The model also credits age as a small advantage to Wolf, while fatigue and recent workload favor Duckworth. Looking at recent matches, Wolf has won his last two matches at Cincinnati over Sho Shimabukuro and Shintaro Mochizuki after a loss on clay in Houston. Duckworth’s recent slate shows a quality win over Christopher O’Connell in Toronto, bookended by losses to Alex de Minaur and Cameron Norrie.

Total Games Predictions

🎾
Expected Total Games in Match 27.3 Most likely outcome: 27 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in J.J. Wolf versus James Duckworth. 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 J.J. Wolf versus James Duckworth. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (J.J. Wolf - James Duckworth) -0.8 Most likely spread: -1 (James Duckworth wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in J.J. Wolf versus James Duckworth. Positive values indicate J.J. Wolf winning more games, negative values indicate James Duckworth winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in J.J. Wolf versus James Duckworth. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

Aces prediction sits at 12.97 for the match and the predicted aces total reflects a medium-pace hard court that rewards both big servers and good returners. The expected double faults figure is 5.65. Since neither player has a significantly higher serve rating, the ace count is expected to be moderate rather than extreme.
🎯
Expected Total Aces 13.0 Most likely: 12 aces
Expected Total Double Faults 5.7 Most likely: 5 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in J.J. Wolf versus James Duckworth. 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 J.J. Wolf versus James Duckworth. 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 J.J. Wolf versus James Duckworth. 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 J.J. Wolf versus James Duckworth. 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

28.6% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (J.J. Wolf's perspective)

0-2 Most likely set score (41.5%)
Probability distribution of the final set score from J.J. Wolf's perspective. Format: BO3.

Final Prediction

Overall strength is the top model driver behind Duckworth’s edge, supported by his higher ranking and the lack of accumulated fatigue. Key factors to watch are Wolf’s serve and return effectiveness on hard courts and whether Duckworth’s freshness can be sustained over the likely tight exchanges.

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