Wimbledon Great Britain Grass Grand Slam Round of 64

Jakub Mensik vs Grigor Dimitrov: AI Prediction | Games, Spread, Aces & Double Faults

Jakub Mensik

Rank: #18
80%
VS

Grigor Dimitrov

Rank: #146
20%
Expected Total Games: 37.5
Predicted Winner: Jakub Mensik

Why the Model Favors Jakub Mensik

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

Overall strength +8.3 Jakub Mensik
Recent record by level +7.5 Jakub Mensik
Age +5.6 Jakub Mensik
Surface fit +5.5 Jakub Mensik
Overall record & opposition quality +3.0 Jakub Mensik

Starting from an even matchup, these factors move the model to 80% for Jakub Mensik. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Jakub Mensik

Form Index: 72.3
ELO Rating: 1886.8
Glicko2 Rating: 1888.3
Current Fatigue (minutes): 174.0
Surface Strength:
Hard: 38.3
Clay: 39.9
Grass: 22.0
Serve Rating: 97.0
Return Rating: 93.3

Grigor Dimitrov

Form Index: 30.6
ELO Rating: 1571.0
Glicko2 Rating: 1582.2
Current Fatigue (minutes): 174.0
Surface Strength:
Hard: 22.2
Clay: 12.3
Grass: 25.8
Serve Rating: 95.4
Return Rating: 85.7

Recent Matches

Jakub Mensik

  • Last Match: vs Toby Samuel (3-2) grass Wimbledon 174 min
  • 2nd Last Match: vs Adrian Mannarino (1-2) grass London 161 min
  • 3rd Last Match: vs Alexander Zverev (1-3) clay Roland Garros 174 min
  • 4th Last Match: vs Joao Fonseca (3-0) clay Roland Garros 174 min
  • 5th Last Match: vs Andrey Rublev (3-2) clay Roland Garros 174 min

Grigor Dimitrov

Head-to-Head (Last 2 Seasons)

0
Jakub Mensik
vs
0
Grigor Dimitrov
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Wimbledon, Round of 64 on grass — a Grand Slam afternoon that pairs rising Jakub Mensik against veteran Grigor Dimitrov. The model strongly favors Mensik to win (79.95% vs 20.05% for Dimitrov) and projects a relatively short affair of about 37.46 total games.

Match Analysis

The model’s edge for Mensik comes mainly from overall strength (+8.3 percentage points) and recent record by level (+7.5), with secondary contributions from age (+5.6) and surface fit (+5.5). Those signals show up in the numbers: Mensik is ranked 18 with an Elo of 1886.78 and a high form index (72.33), while Dimitrov sits at 146 with an Elo of 1571.05 and a much lower form index (30.65). Fatigue is equal — both logged 174 minutes on court in their previous matches — so recovery won’t be a differentiator. On grass, the model also credits Mensik’s serving and returning tools. His mean serve index is 97.00 and mean return index 93.33, versus Dimitrov’s serve 95.40 and return 85.74 — the mean return gap (>5 points) favors Mensik and helps explain the surface-fit boost. Note both players’ surface strength indices are modest (Mensik 21.97, Dimitrov 25.77), but Mensik’s combined serve/return profile makes him better suited to convert short points on fast grass. Recent form mirrors the metrics: Mensik has a win at Wimbledon over Toby Samuel (3–2) but mixed results in the prior two events; Dimitrov arrives off a straight-sets Wimbledon win and a split grass-season showing in Mallorca.

Total Games Predictions

🎾
Expected Total Games in Match 37.5 Most likely outcome: 37 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Jakub Mensik 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 Jakub Mensik 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 (Jakub Mensik - Grigor Dimitrov) +2.5 Most likely spread: +2 (Jakub Mensik wins 2 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Jakub Mensik versus Grigor Dimitrov. Positive values indicate Jakub Mensik 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 Jakub Mensik versus Grigor Dimitrov. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

Aces prediction: the match is expected to produce about 23.81 aces, and the double faults prediction is around 10.48. Grass favors big servers and higher ace counts, which helps explain the predicted aces total. Both players register strong serve indices; there isn’t a large serve-index gap, so the predicted aces are a function of the surface and both men’s ability to produce free points. The expected double faults figure reflects some risk on faster surfaces where second serves are attacked.
🎯
Expected Total Aces 23.8 Most likely: 23 aces
Expected Total Double Faults 10.5 Most likely: 10 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Jakub Mensik 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 Jakub Mensik 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 Jakub Mensik 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 Jakub Mensik 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

57.9% Predicted: Tiebreak likely

Exact Score Distribution BO5

Probability of each set-by-set outcome (Jakub Mensik's perspective)

3-0 Most likely set score (41.0%)
Probability distribution of the final set score from Jakub Mensik's perspective. Format: BO5.

Final Prediction

Mensik’s clear top advantage is overall strength (the largest model driver), supported by superior form and return capability on grass. Watch his return performance early — it’s the key factor that will decide whether this becomes a routine win or drags into a longer battle.

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