Wimbledon Great Britain Grass Grand Slam Round of 128

Dane Sweeny vs Grigor Dimitrov: AI Prediction | Games, Spread, Aces & Double Faults

Dane Sweeny

Rank: #127
24%
VS

Grigor Dimitrov

Rank: #146
76%
Expected Total Games: 36.4
Predicted Winner: Grigor Dimitrov

Why the Model Favors Grigor Dimitrov

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

Overall strength +9.2 Grigor Dimitrov
Recent form +4.3 Grigor Dimitrov
Fatigue & recent workload +4.0 Grigor Dimitrov
Age +3.8 Dane Sweeny
Serve & return game +3.3 Grigor Dimitrov

Starting from an even matchup, these factors move the model to 76% for Grigor Dimitrov. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Dane Sweeny

Form Index: 72.6
ELO Rating: 1705.1
Glicko2 Rating: 1730.4
Current Fatigue (minutes): 522.0
Surface Strength:
Hard: 21.1
Clay: 12.2
Grass: 16.6
Serve Rating: 93.5
Return Rating: 93.1

Grigor Dimitrov

Form Index: 24.2
ELO Rating: 1509.0
Glicko2 Rating: 1543.9
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 22.3
Clay: 12.3
Grass: 23.2
Serve Rating: 95.5
Return Rating: 85.7

Recent Matches

Dane Sweeny

  • Last Match: vs Tomas Barrios Vera (3-2) grass Wimbledon 174 min
  • 2nd Last Match: vs Darwin Blanch (2-1) grass Wimbledon 174 min
  • 3rd Last Match: vs Franco Roncadelli (2-0) grass Wimbledon 174 min
  • 4th Last Match: vs Rinky Hijikata (0-2) hard Miami 72 min
  • 5th Last Match: vs Daniel Merida (1-2) hard Indian Wells 117 min

Grigor Dimitrov

Head-to-Head (Last 2 Seasons)

0
Dane Sweeny
vs
0
Grigor Dimitrov
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At Wimbledon in London, Round of 128 on grass, the model favors Grigor Dimitrov to progress in this Grand Slam tie. The prediction gives Dimitrov a 76.10% chance to win against Dane Sweeny (Sweeny 23.90%), with an expected total of about 36.31 games in the match.

Match Analysis

The model’s edge for Dimitrov is driven primarily by overall strength (a 9.2-point push toward Dimitrov), supported by secondary factors of recent form and fatigue/workload. On paper the players present an interesting contrast: Sweeny is ranked 127 with a higher Elo (1704.12) and a strong form index (72.50), while Dimitrov is ranked 146 with a lower Elo (1510.73) and a form index of 23.85. Despite those numbers, the model attributes an overall competitive advantage to Dimitrov, reflecting his higher surface strength index on grass (23.19 vs Sweeny’s 16.64) and a slightly superior mean serve index (95.47 vs 93.46). Fatigue and recent workload swing the outlook further toward Dimitrov: Sweeny arrives having logged 522 minutes on court in this tournament, whereas Dimitrov has 0 minutes of tournament fatigue. That freshness likely underpins the 4.0-point fatigue advantage for Dimitrov. The model also credits Dimitrov on serve & return game (3.3 points toward him), but one clear caveat is Sweeny’s much stronger mean return index (93.13 vs Dimitrov’s 85.72) — a gap greater than five points that could make Dimitrov’s service games tougher to convert. Recent match form shows Sweeny winning three straight battles at Wimbledon (including two five-set encounters), while Dimitrov has two wins and a loss on grass at Mallorca.

Total Games Predictions

🎾
Expected Total Games in Match 36.4 Most likely outcome: 36 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Dane Sweeny versus Grigor Dimitrov. 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 Dane Sweeny versus Grigor Dimitrov. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Dane Sweeny - Grigor Dimitrov) -3.7 Most likely spread: -4 (Grigor Dimitrov wins 4 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Dane Sweeny versus Grigor Dimitrov. Positive values indicate Dane Sweeny winning more games, negative values indicate Grigor Dimitrov winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Dane Sweeny versus Grigor Dimitrov. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction sits at about 14.82 for the match and the expected double faults are roughly 8.43. Grass typically raises the ace count because serves skid and returners have less time, so predicted aces are consistent with surface dynamics. Neither player has a significantly higher serve rating, but Dimitrov’s slightly better mean serve may nudge the predicted ace tally upward.
🎯
Expected Total Aces 14.9 Most likely: 14 aces
Expected Total Double Faults 8.4 Most likely: 8 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Dane Sweeny versus Grigor Dimitrov. 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 Dane Sweeny versus Grigor Dimitrov. 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 Dane Sweeny versus Grigor Dimitrov. 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 Dane Sweeny versus Grigor Dimitrov. 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

39.3% Predicted: No tiebreak

Exact Score Distribution BO5

Probability of each set-by-set outcome (Dane Sweeny's perspective)

0-3 Most likely set score (31.3%)
Probability distribution of the final set score from Dane Sweeny's perspective. Format: BO5.

Final Prediction

Dimitrov’s projected advantage is mainly tied to the model’s top factor — overall strength — reinforced by his lack of tournament fatigue. The key factor to watch will be whether Sweeny’s elite return numbers can neutralize Dimitrov’s service quality early in rallies.

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