Wimbledon Great Britain Grass Grand Slam Round of 128

Sho Shimabukuro vs Jaime Faria: AI Prediction | Games, Spread, Aces & Double Faults

Sho Shimabukuro

Rank: #89
52%
VS

Jaime Faria

Rank: #98
48%
Expected Total Games: 40.0
Predicted Winner: Sho Shimabukuro

Why the Model Favors Sho Shimabukuro

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

Serve & return game +7.5 Sho Shimabukuro
Recent record by level +3.9 Sho Shimabukuro
Age +2.7 Jaime Faria
Surface fit +2.1 Jaime Faria
Recent form +2.0 Sho Shimabukuro

Starting from an even matchup, these factors move the model to 52% for Sho Shimabukuro. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Sho Shimabukuro

Form Index: 44.0
ELO Rating: 1629.1
Glicko2 Rating: 1712.4
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 16.8
Clay: 12.9
Grass: 12.6
Serve Rating: 97.6
Return Rating: 94.5

Jaime Faria

Form Index: 89.7
ELO Rating: 1797.3
Glicko2 Rating: 1809.5
Current Fatigue (minutes): 522.0
Surface Strength:
Hard: 25.4
Clay: 25.6
Grass: 21.7
Serve Rating: 94.5
Return Rating: 86.1

Recent Matches

Sho Shimabukuro

Jaime Faria

Head-to-Head (Last 2 Seasons)

0
Sho Shimabukuro
vs
0
Jaime Faria
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At Wimbledon in London, Round of 128 on grass, Sho Shimabukuro is narrowly favored to beat Jaime Faria in a first-round match at the Grand Slam. The model projects Shimabukuro to win with 51.77% probability to Faria’s 48.23%, and forecasts about 40.01 total games in the match.

Match Analysis

The model’s edge for Shimabukuro comes mainly from serve & return metrics, supplemented by his recent results at higher-level events. Shimabukuro (rank 89, Elo 1628.76) posts very strong serve and return indices — mean serve 97.64 and mean return 94.51 — which the model treats as a grass-court advantage. Faria (rank 98) actually carries the higher Elo (1797.80) and a much stronger form index (89.66 vs 43.76), but the explainability engine still credits Shimabukuro for his serving/return combination (+7.5 percentage points) and slightly better recent record by level (+3.9 points). Fatigue and surface fit cut the other way. Faria arrives with sizeable court time at this event (522 minutes of fatigue) after three straight wins at Wimbledon, and his surface strength index (21.73) is higher than Shimabukuro’s (12.64), giving him a modest surface edge in the model (+2.0 points toward Faria). The model also notes age favoring Faria (+2.8 points), while Shimabukuro’s recent form contributed a smaller boost (+2.0). Recent match summaries: Shimabukuro is 1–2 in his last three on grass (win over Griekspoor; losses to Shelton and Tiafoe), while Faria sits on a 3–0 run at Wimbledon (straight-set and extended wins with long match durations).

Total Games Predictions

🎾
Expected Total Games in Match 40.0 Most likely outcome: 40 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Sho Shimabukuro 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 Sho Shimabukuro 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 (Sho Shimabukuro - Jaime Faria) -0.2 Most likely spread: -1 (Jaime Faria wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Sho Shimabukuro versus Jaime Faria. Positive values indicate Sho Shimabukuro 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 Sho Shimabukuro versus Jaime Faria. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for the match is 20.02 total; the predicted aces reflect grass as the fastest surface where big serving pays off. The double faults prediction is 9.48 expected double faults for the match. Shimabukuro’s very high mean serve index suggests he could drive the predicted aces count, while Faria’s heavy match load may slightly raise his risk of double faults.
🎯
Expected Total Aces 20.1 Most likely: 20 aces
Expected Total Double Faults 9.5 Most likely: 9 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Sho Shimabukuro 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 Sho Shimabukuro 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 Sho Shimabukuro 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 Sho Shimabukuro 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

47.6% Predicted: No tiebreak

Exact Score Distribution BO5

Probability of each set-by-set outcome (Sho Shimabukuro's perspective)

3-1 Most likely set score (18.4%)
Probability distribution of the final set score from Sho Shimabukuro's perspective. Format: BO5.

Final Prediction

Shimabukuro’s advantage traces chiefly to the model’s Serve & return game factor — his combined serving and returning metrics outweigh Faria’s higher Elo and tournament form just enough to tilt the projection. The key factor to watch is return efficiency: if Shimabukuro continues to convert returned opportunities, he should sustain the narrow edge.

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