Wimbledon Great Britain Grass Grand Slam Round of 32

Jiri Lehecka vs Jaume Munar: AI Prediction | Games, Spread, Aces & Double Faults

Jiri Lehecka

Rank: #14
78%
VS

Jaume Munar

Rank: #44
22%
Expected Total Games: 37.0
Predicted Winner: Jiri Lehecka

Why the Model Favors Jiri Lehecka

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

Serve & return game +7.3 Jiri Lehecka
Overall strength +5.8 Jiri Lehecka
Recent form +4.8 Jiri Lehecka
Recent record by level +4.0 Jiri Lehecka
Overall record & opposition quality +2.6 Jiri Lehecka

Starting from an even matchup, these factors move the model to 78% for Jiri Lehecka. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Ranking Trends

Jiri Lehecka

  • Current #14 2026-06-29
  • 3 mo ago #14 2026-03-30
  • 6 mo ago #18 2025-12-29
  • 9 mo ago #19 2025-09-29
  • 12 mo ago #25 2025-06-30

Jaume Munar

  • Current #44 2026-06-29
  • 3 mo ago #37 2026-03-30
  • 6 mo ago #33 2025-12-29
  • 9 mo ago #41 2025-09-29
  • 12 mo ago #55 2025-06-30

Player Metrics

Jiri Lehecka

Form Index: 52.2
ELO Rating: 1807.2
Glicko2 Rating: 1846.2
Current Fatigue (minutes): 348.0
Surface Strength:
Hard: 41.3
Clay: 28.5
Grass: 29.0
Serve Rating: 97.8
Return Rating: 92.2

Jaume Munar

Form Index: 47.1
ELO Rating: 1668.1
Glicko2 Rating: 1683.6
Current Fatigue (minutes): 348.0
Surface Strength:
Hard: 32.1
Clay: 17.4
Grass: 23.0
Serve Rating: 95.9
Return Rating: 87.9

Recent Matches

Jiri Lehecka
✅ ✅ ❌ ✅ ❌

  • Last Match: ✅ vs Alex Molcan (3-0) grass Wimbledon 174 min
  • 2nd Last Match: ✅ vs Alexei Popyrin (3-0) grass Wimbledon 174 min
  • 3rd Last Match: ❌ vs Rinky Hijikata (1-2) grass London 167 min
  • 4th Last Match: ✅ vs Kamil Majchrzak (2-0) grass London 112 min
  • 5th Last Match: ❌ vs Ben Shelton (1-2) grass Stuttgart 172 min

Jaume Munar
✅ ✅ ❌ ❌ ❌

Head-to-Head (Last 2 Seasons)

0
Jiri Lehecka
vs
0
Jaume Munar
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At Wimbledon in Great Britain, Round of 32 on grass, Jiri Lehecka is favoured to progress in this grand slam clash. The model projects Lehecka to win with a 77.69% probability versus 22.31% for Jaume Munar, and expects about 37.04 total games in the match.

Match Analysis

The model’s edge for Lehecka comes mainly from the serve & return game, supported by his overall strength and recent form. Lehecka (rank 14, Elo 1807.2) brings a higher form index (52.21) and a stronger surface profile (surface strength 29.00) than Munar (rank 44, Elo 1668.1, form 47.15, surface strength 22.97). Lehecka’s mean serve index (97.80) and mean return index (92.23) underpin the serve & return advantage identified by the model; Munar posts solid marks (serve 95.89, return 87.95) but is a step below in both overall metrics and Elo. Fatigue is identical on paper — both show 348 minutes on court this event — so conditioning from match minutes should not be a separating factor. Recent results also tilt toward Lehecka: he has back-to-back straight-set wins at Wimbledon over Alex Molcan and Alexei Popyrin after an earlier loss to Rinky Hijikata on grass. Munar likewise won two straight at the Championships (Jacob Fearnley, Francisco Cerundolo) but had a prior straight-sets defeat at Eastbourne. The model also notes Lehecka’s stronger recent record by level and overall opposition quality as incremental contributors to the probability gap.

Total Games Predictions

🎾
Expected Total Games in Match 37.0 Most likely outcome: 37 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Cumulative Probability (CDF)

Probability of total games ≤ X

Games Spread Predictions

📈
Expected Games Spread (Jiri Lehecka - Jaume Munar) +2.9 Most likely spread: +2 (Jiri Lehecka wins 2 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Cumulative Probability (CDF)

Probability of spread ≤ X

Aces and Double Faults Predictions

The aces prediction for the match is elevated on grass: the model’s predicted aces figure is 19.21, with an expected double faults total of 7.13. Grass typically produces higher ace counts because of the faster, lower bounce; that pattern drives this predicted aces value. Neither player posts a serve rating far enough above the other to suggest a dramatically lopsided ace count, though Lehecka’s slight serving edge could edge up his share of the predicted aces.
🎯
Expected Total Aces 19.2 Most likely: 19 aces
❌
Expected Total Double Faults 7.1 Most likely: 7 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Cumulative Probability (CDF)

Probability of aces ≤ X

❌ Double Faults Probability Distribution

Distribution

Probability of each double fault count outcome

Cumulative Probability (CDF)

Probability of double faults ≤ X

🎯 Match Format Predictions

Tiebreak Likelihood

Probability that any tiebreak is played in this match

52.2% Predicted: Tiebreak likely

Exact Score Distribution BO5

Probability of each set-by-set outcome (Jiri Lehecka's perspective)

3-0 Most likely set score (34.0%)
New to probability charts? Learn how to interpret distribution and CDF curves

Final Prediction

Lehecka’s edge is driven primarily by the serve & return game in combination with stronger overall metrics and recent form. A key factor to watch will be how effectively Lehecka converts return opportunities — if he keeps Munar’s service games under pressure, the projected outcome is likely to follow the model’s prediction.

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