Wimbledon Great Britain Grass Grand Slam Round of 32

Zizou Bergs vs Arthur Fery: AI Prediction | Games, Spread, Aces & Double Faults

Zizou Bergs

Rank: #37
49%
VS

Arthur Fery

Rank: #114
51%
Expected Total Games: 37.2
Predicted Winner: Arthur Fery

Why the Model Favors Arthur Fery

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

Overall strength +12.9 Zizou Bergs
Surface fit +7.8 Arthur Fery
Serve & return game +5.2 Zizou Bergs
Fatigue & recent workload +3.0 Arthur Fery
Age +1.7 Arthur Fery

Starting from an even matchup, these factors move the model to 51% for Arthur Fery. 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

Zizou Bergs

Form Index: 69.0
ELO Rating: 1751.1
Glicko2 Rating: 1711.4
Current Fatigue (minutes): 348.0
Surface Strength:
Hard: 21.9
Clay: 10.7
Grass: 25.1
Serve Rating: 96.2
Return Rating: 92.8

Arthur Fery

Form Index: 67.9
ELO Rating: 1692.8
Glicko2 Rating: 1714.4
Current Fatigue (minutes): 348.0
Surface Strength:
Hard: 21.9
Clay: 10.8
Grass: 18.2
Serve Rating: 94.1
Return Rating: 87.7

Recent Matches

Zizou Bergs

  • Last Match: vs Jaime Faria (3-1) grass Wimbledon 174 min
  • 2nd Last Match: vs Ugo Humbert (3-2) grass Wimbledon 174 min
  • 3rd Last Match: vs Ugo Humbert (2-1) grass Eastbourne 124 min
  • 4th Last Match: vs Toby Samuel (2-1) grass Eastbourne 126 min
  • 5th Last Match: vs Jan Choinski (2-0) grass Eastbourne 76 min

Arthur Fery

Head-to-Head (Last 2 Seasons)

0
Zizou Bergs
vs
0
Arthur Fery
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At Wimbledon in Great Britain, Round of 32 on grass, Arthur Fery is narrowly favoured to upset Zizou Bergs in this Grand Slam matchup. The model gives Fery a 50.94% chance to win versus Bergs at 49.06%, with a predicted total of about 37.2 games in the match.

Match Analysis

The model’s verdict is finely balanced. Its largest single driver is overall strength — a 12.9-point swing toward Zizou Bergs — reflecting his higher ranking (No. 37), better Elo (1751 vs 1693) and slightly stronger form index (68.99 vs 67.86). Bergs also carries the edge in the combined serve & return metric (+5.2 points to him), and his surface strength index (25.14) is above Fery’s (18.20), suggesting he adapts better to grass fundamentals. Still, the small advantage for Fery stems from surface fit, fatigue and age: surface fit contributes 7.8 percentage points toward Fery, fatigue & recent workload 3.0 points, and age 1.7 points. Both men have identical cumulative minutes this event (348), but Fery’s game appears better matched to the match conditions in the model’s view. Serve ratings are close (Bergs 96.18, Fery 94.10), so no dominant serving gap; however Bergs’ mean return index (92.78) is about five points higher than Fery’s (87.73), which is an edge worth noting. Over the last three matches Bergs is unbeaten (including two wins over Ugo Humbert), while Fery has two straight wins at Wimbledon but fell earlier in Eastbourne.

Total Games Predictions

🎾
Expected Total Games in Match 37.2 Most likely outcome: 37 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Zizou Bergs versus Arthur Fery. 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 Zizou Bergs versus Arthur Fery. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Zizou Bergs - Arthur Fery) -0.2 Most likely spread: -1 (Arthur Fery wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Zizou Bergs versus Arthur Fery. Positive values indicate Zizou Bergs winning more games, negative values indicate Arthur Fery winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Zizou Bergs versus Arthur Fery. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for this grass meeting is 15.54 total — grass typically increases ace counts because the ball stays low and skids through the court. The predicted aces reflect that trend; expected double faults are 8.86 for the match. With similar mean serve indices, neither player is projected to dominate the ace count, so the predicted aces and expected double faults should be distributed relatively evenly unless one loosens under pressure.
🎯
Expected Total Aces 15.5 Most likely: 15 aces
Expected Total Double Faults 8.9 Most likely: 8 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Zizou Bergs versus Arthur Fery. 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 Zizou Bergs versus Arthur Fery. 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 Zizou Bergs versus Arthur Fery. 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 Zizou Bergs versus Arthur Fery. 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

38.8% Predicted: No tiebreak

Exact Score Distribution BO5

Probability of each set-by-set outcome (Zizou Bergs's perspective)

0-3 Most likely set score (25.9%)
Probability distribution of the final set score from Zizou Bergs's perspective. Format: BO5.

Final Prediction

Fery’s slim edge comes from model factors favouring his surface fit (and small fatigue/age advantages) despite Bergs’ stronger overall profile — the top model factor, overall strength, actually points to Bergs. The key thing to watch will be Bergs’ returning: his higher return index could flip tight service holds and decide the match.

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