Roland Garros France Clay Grand Slam Round of 128

Joao Fonseca vs Luka Pavlovic: AI Prediction | Games, Spread, Aces & Double Faults

Joao Fonseca

Rank: #30
66%
VS

Luka Pavlovic

Rank: #240
34%
Expected Total Games: 44.1
Predicted Winner: Joao Fonseca

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Player Metrics

Joao Fonseca

Form Index: 34.2
ELO Rating: 1722.3
Glicko2 Rating: 1786.3
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 35.3
Clay: 22.6
Grass: 19.8
Serve Rating: 95.6
Return Rating: 92.1

Luka Pavlovic

Form Index: 63.4
ELO Rating: 1637.3
Glicko2 Rating: 1697.2
Current Fatigue (minutes): 522.0
Surface Strength:
Hard: 8.9
Clay: 16.7
Grass: 6.6
Serve Rating: 92.5
Return Rating: 85.6

Recent Matches

Joao Fonseca

Luka Pavlovic

  • Last Match: vs Darwin Blanch (2-0) clay Roland Garros 174 min
  • 2nd Last Match: vs Tomas Barrios Vera (2-1) clay Roland Garros 174 min
  • 3rd Last Match: vs Harry Wendelken (2-1) clay Roland Garros 174 min
  • 4th Last Match: vs Botic van de Zandschulp (0-2) hard Rotterdam 95 min
  • 5th Last Match: vs Hamad Medjedovic (2-1) hard Rotterdam 149 min

Head-to-Head (Last 2 Seasons)

0
Joao Fonseca
vs
0
Luka Pavlovic
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At Roland Garros in Paris, Round of 128 on clay, Joao Fonseca is marginally favoured in this Grand Slam opener. The model gives Fonseca a 66.19% chance to win versus 33.81% for Luka Pavlovic, with a predicted total of about 44.14 games in the match.

Match Analysis

On paper Fonseca arrives as the higher-ranked player (No. 30) with a superior Elo (1722.28) compared with Pavlovic (rank 240, Elo 1637.32). Fonseca’s form index (34.21) is lower than Pavlovic’s (63.39), but the Portuguese carries no tournament fatigue (0 minutes on court) against Pavlovic’s heavy load (522 minutes). Both have modest clay-specific surface strength numbers — Fonseca 22.56, Pavlovic 16.68 — indicating neither is a clay specialist, though Fonseca’s mark is notably higher. Serve and return profiles suggest Fonseca will try to dictate with his return: his mean return index (92.12) is about 6.48 points better than Pavlovic’s (85.64), a meaningful gap on a surface that rewards consistency. The mean serve indices are closer (Fonseca 95.58, Pavlovic 92.55), so there’s no large serving gulf to overcome. Recent form diverges: Fonseca has lost his last three clay matches (Rome, Madrid, Munich), all decided in three sets, while Pavlovic has won his last three Roland Garros matches, each lasting 174 minutes — a stretch that explains his accumulated fatigue.

Total Games Predictions

🎾
Expected Total Games in Match 44.1 Most likely outcome: 44 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Joao Fonseca versus Luka Pavlovic. 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 Joao Fonseca versus Luka Pavlovic. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Joao Fonseca - Luka Pavlovic) +1.8 Most likely spread: +1 (Joao Fonseca wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Joao Fonseca versus Luka Pavlovic. Positive values indicate Joao Fonseca winning more games, negative values indicate Luka Pavlovic winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Joao Fonseca versus Luka Pavlovic. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for this match sits at about 19.21 total aces and an expected double faults figure near 8.71. Clay’s slower bounce typically suppresses aces and can elevate double faults as longer rallies and fatigue set in; that dynamic likely trims the predicted aces and inflates the expected double faults. While Fonseca’s serve index is marginally higher, it isn’t a large gap, so the predicted aces remain moderate rather than skewed heavily to one side.
🎯
Expected Total Aces 19.2 Most likely: 19 aces
Expected Total Double Faults 8.7 Most likely: 8 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Joao Fonseca versus Luka Pavlovic. 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 Joao Fonseca versus Luka Pavlovic. 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 Joao Fonseca versus Luka Pavlovic. 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 Joao Fonseca versus Luka Pavlovic. 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

51.3% Predicted: Tiebreak likely

Exact Score Distribution BO5

Probability of each set-by-set outcome (Joao Fonseca's perspective)

3-0 Most likely set score (24.1%)
Probability distribution of the final set score from Joao Fonseca's perspective. Format: BO5.

Final Prediction

Fonseca’s combination of higher ranking, better Elo and a markedly superior return, plus the freshness from zero minutes on court, gives him the edge. The key factor to watch is Pavlovic’s endurance: his heavy minutes already logged at Roland Garros could determine whether he can sustain pressure in long service games and keep errors down.

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