Wimbledon Wimbledon, GBR Grass Grand Slam Quarterfinals

Jessica Pegula vs Coco Gauff: AI Prediction | Games, Spread, Aces & Double Faults

Jessica Pegula

Rank: #4
53%
VS

Coco Gauff

Rank: #7
47%
Expected Total Games: 20.7
Predicted Winner: Jessica Pegula

Why the Model Favors Jessica Pegula

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

Fatigue & recent workload +4.3 Jessica Pegula
Age +2.5 Coco Gauff
Recent record by level +1.6 Jessica Pegula
Recent form +1.5 Jessica Pegula
Head-to-head +1.3 Coco Gauff

Starting from an even matchup, these factors move the model to 53% for Jessica Pegula. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

Also available in Claude. Query these predictions in plain language — our native connector lets Claude call our models on demand, no code.

Set it up

Player Metrics

Jessica Pegula

Form Index: 56.4
ELO Rating: 2035.2
Glicko2 Rating: 2125.6
Current Fatigue (minutes): 480.0
Surface Strength:
Hard: 76.7
Clay: 38.8
Grass: 64.5
Serve Rating: 97.5
Return Rating: 94.0

Coco Gauff

Form Index: 56.5
ELO Rating: 2020.4
Glicko2 Rating: 2081.6
Current Fatigue (minutes): 480.0
Surface Strength:
Hard: 68.7
Clay: 61.0
Grass: 62.2
Serve Rating: 95.2
Return Rating: 90.1

Recent Matches

Jessica Pegula

  • Last Match: vs Iva Jovic (2-1) grass Wimbledon 120 min
  • 2nd Last Match: vs Jessica Bouzas Maneiro (2-0) grass Wimbledon 120 min
  • 3rd Last Match: vs Sara Sorribes Tormo (2-0) grass Wimbledon 120 min
  • 4th Last Match: vs Darja Vidmanova (2-0) grass Wimbledon 120 min
  • 5th Last Match: vs Linda Noskova (1-2) grass Berlin 119 min

Coco Gauff

  • Last Match: vs Belinda Bencic (2-1) grass Wimbledon 120 min
  • 2nd Last Match: vs Claire Liu (2-1) grass Wimbledon 120 min
  • 3rd Last Match: vs Solana Sierra (2-1) grass Wimbledon 120 min
  • 4th Last Match: vs Tamara Korpatsch (2-0) grass Wimbledon 120 min
  • 5th Last Match: vs Paula Badosa (1-2) grass Berlin 96 min

Head-to-Head (Last 2 Seasons)

0
Jessica Pegula
vs
1
Coco Gauff
Hard
0 - 1
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Quarterfinals at Wimbledon on grass pits Jessica Pegula against Coco Gauff in a high-stakes Grand Slam clash in London. The model favors Jessica Pegula 52.72% to Coco Gauff 47.28%, with a predicted total of roughly 20.7 games in the match.

Match Analysis

The model’s edge for Pegula comes mainly from the fatigue & recent workload factor (a 4.3 percentage-point boost toward Pegula), supported by smaller bumps from recent record by level (+1.6) and recent form (+1.5). Conversely, age and head-to-head data nudge slightly toward Gauff (+2.5 and +1.3 points respectively). On paper both players show very similar tournament workloads (480 minutes on court), but Pegula’s metrics — a higher Elo (2035.24 vs 2020.43), marginally better surface strength (64.53 vs 62.19) and slightly higher mean serve and return indices — underpin the model’s lean. Pegula is ranked 4 with a form index of 56.43 and strong serve/return indices (mean serve 97.48, mean return 93.97). Gauff, ranked 7, posts a nearly identical form index (56.46) with serve/return indices of 95.21 and 90.07. Differences in serve and return are under the 5-point threshold, so neither player holds a clear statistical power advantage in those specific metrics. Over the last three matches at Wimbledon, Pegula has won all three (two straight-set wins and one three-set), while Gauff has also progressed with three wins — each listed as 2-1 set results — showing resilience but slightly more three-set work.

Total Games Predictions

🎾
Expected Total Games in Match 20.7 Most likely outcome: 20 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Jessica Pegula versus Coco Gauff. 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 Jessica Pegula versus Coco Gauff. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Jessica Pegula - Coco Gauff) -0.8 Most likely spread: -1 (Coco Gauff wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Jessica Pegula versus Coco Gauff. Positive values indicate Jessica Pegula winning more games, negative values indicate Coco Gauff winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Jessica Pegula versus Coco Gauff. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction is modest: the match has a predicted aces total of 5.18, and the double faults prediction sits at 7.26 expected double faults. Grass typically boosts ace counts because of its speed and low bounce, so the predicted aces reflect surface influence rather than a dominant single-server advantage. Neither player’s serve rating is sufficiently higher to drive a large divergence in the predicted ace count.
🎯
Expected Total Aces 5.2 Most likely: 5 aces
Expected Total Double Faults 7.3 Most likely: 7 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Jessica Pegula versus Coco Gauff. 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 Jessica Pegula versus Coco Gauff. 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 Jessica Pegula versus Coco Gauff. 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 Jessica Pegula versus Coco Gauff. 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

31.8% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Jessica Pegula's perspective)

2-0 Most likely set score (33.1%)
Probability distribution of the final set score from Jessica Pegula's perspective. Format: BO3.

Final Prediction

Pegula’s narrow edge is primarily driven by the fatigue & recent workload factor as identified by the model, supported by a slightly higher Elo and surface strength. Key thing to watch: who manages physical traffic after three consecutive rounds of long matches — visible energy and serve hold consistency will likely decide this tight quarterfinal.

Get Daily Tennis Predictions

Enjoyed this analysis? Subscribe to our Telegram channel and receive daily AI-driven tennis predictions directly on your phone.

Join Our Telegram Channel