Wimbledon Great Britain Grass Grand Slam Round of 64

Zizou Bergs vs Jaime Faria: AI Prediction | Games, Spread, Aces & Double Faults

Zizou Bergs

Rank: #37
51%
VS

Jaime Faria

Rank: #98
49%
Expected Total Games: 39.2
Predicted Winner: Zizou Bergs

Why the Model Favors Zizou Bergs

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

Serve & return game +8.9 Zizou Bergs
Recent form +5.3 Zizou Bergs
Surface fit +5.2 Jaime Faria
Overall strength +3.7 Zizou Bergs
Overall record & opposition quality +2.9 Jaime Faria

Starting from an even matchup, these factors move the model to 51% for Zizou Bergs. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Zizou Bergs

Form Index: 61.5
ELO Rating: 1696.6
Glicko2 Rating: 1687.5
Current Fatigue (minutes): 174.0
Surface Strength:
Hard: 21.9
Clay: 10.7
Grass: 21.5
Serve Rating: 96.2
Return Rating: 92.8

Jaime Faria

Form Index: 91.9
ELO Rating: 1820.8
Glicko2 Rating: 1828.9
Current Fatigue (minutes): 696.0
Surface Strength:
Hard: 24.8
Clay: 25.6
Grass: 24.0
Serve Rating: 94.4
Return Rating: 86.0

Recent Matches

Zizou Bergs

  • Last Match: vs Ugo Humbert (3-2) grass Wimbledon 174 min
  • 2nd Last Match: vs Ugo Humbert (2-1) grass Eastbourne 124 min
  • 3rd Last Match: vs Toby Samuel (2-1) grass Eastbourne 126 min
  • 4th Last Match: vs Jan Choinski (2-0) grass Eastbourne 76 min
  • 5th Last Match: vs Daniel Altmaier (2-0) grass Eastbourne 60 min

Jaime Faria

  • Last Match: vs Sho Shimabukuro (3-1) grass Wimbledon 174 min
  • 2nd Last Match: vs Rei Sakamoto (3-1) grass Wimbledon 174 min
  • 3rd Last Match: vs Luka Pavlovic (2-0) grass Wimbledon 174 min
  • 4th Last Match: vs Hugo Grenier (2-0) grass Wimbledon 174 min
  • 5th Last Match: vs Frances Tiafoe (2-3) clay Roland Garros 174 min

Head-to-Head (Last 2 Seasons)

0
Zizou Bergs
vs
0
Jaime Faria
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Wimbledon, Round of 64 on grass in London — a Grand Slam clash that pairs No. 37 Zizou Bergs against No. 98 Jaime Faria. The model narrowly favors Zizou Bergs (50.68%) over Jaime Faria (49.32%), with a predicted total of about 39.2 games in the match.

Match Analysis

The model’s edge for Bergs comes mainly from the serve & return game and recent form, while Faria gains ground from slightly better surface fit and the quality of some prior opposition. On serve and return, Bergs posts very high proprietary indices (mean serve 96.25, mean return 92.77). Faria is strong on serve too (94.44) but Bergs’ mean return is meaningfully higher by about 6.75 points, which helps explain the 8.9-point swing toward Bergs for serve & return. Recent form is credited to Bergs because he arrives after three straight grass wins, including a tight five-set win in the opening round; those results come with relatively low cumulative fatigue (174 minutes) compared with Faria’s heavy minute load (696 minutes), which the model treats as a ballast on his legs. Surface fit pushes slightly toward Faria (5.2 points) — his surface strength index is 24.04 versus Bergs’ 21.53, though both indices are modest and suggest neither is a grass specialist. Rankings and broader metrics paint a mixed picture: Bergs has the higher tour rank (37) which supports the model’s “overall strength” lean toward him, while Faria’s Elo (1820.81) and very high form index (91.90) account for the model’s tilt to Faria on overall record and opposition quality. Both players come in with three wins on grass in recent matches; Bergs’ wins include longer, tougher encounters while Faria’s run at this event has been efficient but has accumulated more minutes.

Total Games Predictions

🎾
Expected Total Games in Match 39.2 Most likely outcome: 39 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Zizou Bergs - Jaime Faria) +0.1 Most likely spread: 0 (even number of games won)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction sits at 20.5 for the match and the double faults prediction at 11.49. Grass typically boosts ace counts, so the predicted aces reflect surface speed; predicted double faults are also elevated by aggressive serving patterns. Bergs has a slightly higher mean serve index, which may nudge the ace count upward, but the difference is not large enough to dominate the projection.
🎯
Expected Total Aces 20.5 Most likely: 20 aces
Expected Total Double Faults 11.5 Most likely: 11 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Zizou Bergs versus Jaime Faria. 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 Jaime Faria. 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 Jaime Faria. 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 Jaime Faria. 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

53.1% Predicted: Tiebreak likely

Exact Score Distribution BO5

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

3-1 Most likely set score (18.9%)
Probability distribution of the final set score from Zizou Bergs's perspective. Format: BO5.

Final Prediction

Bergs’ advantage is driven primarily by the serve & return game in combination with momentum from recent wins and lower fatigue. The return battle and how fatigue affects Faria late in sets are the key factors to watch.

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