Monte Carlo Monaco Clay Masters 1000 Round of 64

Jiri Lehecka vs Emilio Nava: AI Prediction | Games, Spread, Aces & Double Faults

Jiri Lehecka

Rank: #14
78%
VS

Emilio Nava

Rank: #104
22%
Expected Total Games: 23.9
Predicted Winner: Jiri Lehecka

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Player Metrics

Jiri Lehecka

Form Index: 50.7
ELO Rating: 1785.9
Glicko2 Rating: 1801.0
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 61.9
Clay: 43.8
Grass: 45.6
Serve Rating: 82.8
Return Rating: 61.9

Emilio Nava

Form Index: 50.9
ELO Rating: 1602.8
Glicko2 Rating: 1630.0
Current Fatigue (minutes): 261.0
Surface Strength:
Hard: 52.5
Clay: 40.6
Grass: 40.3
Serve Rating: 97.5
Return Rating: 86.2

Recent Matches

Jiri Lehecka

  • Last Match: vs Jannik Sinner (0-2) hard Miami 93 min
  • 2nd Last Match: vs Arthur Fils (2-0) hard Miami 75 min
  • 3rd Last Match: vs Taylor Fritz (2-1) hard Miami 145 min
  • 4th Last Match: vs Ethan Quinn (2-0) hard Miami 93 min
  • 5th Last Match: vs Moise Kouame (2-0) hard Miami 95 min

Emilio Nava

  • Last Match: vs David Goffin (2-1) clay Monte Carlo 164 min
  • 2nd Last Match: vs Quentin Halys (2-0) clay Monte Carlo 97 min
  • 3rd Last Match: vs Tomas Machac (1-2) hard Miami 91 min
  • 4th Last Match: vs Nuno Borges (0-2) hard Indian Wells 110 min
  • 5th Last Match: vs Francisco Cerundolo (0-2) clay Santiago 66 min

Head-to-Head (Last 2 Seasons)

0
Jiri Lehecka
vs
0
Emilio Nava
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Monte Carlo, Round of 64 on clay at the masters_1000 in Monaco pits No.14 Jiri Lehecka against No.104 Emilio Nava in a matchup that pairs an established top-20 player against a hot qualifier. The model projects Jiri Lehecka to win (78.02% win probability) versus Emilio Nava (21.98%), with a predicted total of about 23.9 games in the match.

Match Analysis

Lehecka arrives with the higher ranking (14) and a stronger Elo (1785.9) compared with Nava (rank 104, Elo 1602.8). Their form indexes are almost identical (Lehecka 50.70, Nava 50.92), but fatigue is a clear differentiator: Lehecka shows zero minutes on court in this event, while Nava has accumulated 261 minutes, which can matter on physically demanding clay. Surface strength indexes are close (Lehecka 43.79, Nava 40.56), suggesting neither has a pronounced clay-court advantage. Serve and return profiles diverge notably. Nava’s mean serve index (97.54) is roughly 14.8 points higher than Lehecka’s (82.76), a sizeable gap that favors Nava on serve. Conversely, Nava also leads substantially in return index (86.19 vs Lehecka 61.91), a difference of about 24.3 points, indicating he can be aggressive on return—though both figures must be viewed through the clay lens. Recent form: Lehecka won two of his last three (victories over Taylor Fritz and Arthur Fils) before losing to Jannik Sinner; matches were on hard courts. Nava has two wins in Monte Carlo (over Quentin Halys and David Goffin) and a prior loss to Tomas Machac on hard, showing momentum at this event despite the heavier workload.

Total Games Predictions

🎾
Expected Total Games in Match 23.9 Most likely outcome: 23 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Jiri Lehecka versus Emilio Nava. 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 Jiri Lehecka versus Emilio Nava. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Jiri Lehecka - Emilio Nava) +0.2 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 Jiri Lehecka versus Emilio Nava. Positive values indicate Jiri Lehecka winning more games, negative values indicate Emilio Nava winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Jiri Lehecka versus Emilio Nava. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for the match is about 15.64 total, while the expected double faults are roughly 4.73. On clay, predicted aces are usually suppressed because the slower surface and higher bounce reduce serve winners; this expected aces figure reflects that mitigation. Given Nava’s significantly higher serve rating, he is likely to contribute a disproportionate share of the predicted aces, though clay will temper that advantage; the double faults prediction accounts for longer rallies and potential fatigue.
🎯
Expected Total Aces 15.6 Most likely: 15 aces
Expected Total Double Faults 4.7 Most likely: 4 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Jiri Lehecka versus Emilio Nava. 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 Jiri Lehecka versus Emilio Nava. 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 Jiri Lehecka versus Emilio Nava. 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 Jiri Lehecka versus Emilio Nava. The curve shows the cumulative probability for each double faults threshold.

Final Prediction

Lehecka’s higher ranking, stronger Elo and fresher legs craft the edge in this matchup despite Nava’s eye-catching serve and return indices. The key factor to watch is whether Nava’s heavy court time slows him enough to blunt his serve/return strengths early in the match.

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