Monte Carlo Monaco Clay Masters 1000 Round of 64

Joao Fonseca vs Gabriel Diallo: AI Prediction | Games, Spread, Aces & Double Faults

Joao Fonseca

Rank: #40
60%
VS

Gabriel Diallo

Rank: #36
40%
Expected Total Games: 24.2
Predicted Winner: Joao Fonseca

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Player Metrics

Joao Fonseca

Form Index: 46.5
ELO Rating: 1709.9
Glicko2 Rating: 1757.3
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 60.0
Clay: 41.9
Grass: 43.6
Serve Rating: 69.6
Return Rating: 67.5

Gabriel Diallo

Form Index: 34.0
ELO Rating: 1607.8
Glicko2 Rating: 1611.8
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 54.1
Clay: 41.4
Grass: 44.6
Serve Rating: 98.4
Return Rating: 89.2

Recent Matches

Joao Fonseca

  • Last Match: vs Carlos Alcaraz (0-2) hard Miami 95 min
  • 2nd Last Match: vs Fabian Marozsan (2-1) hard Miami 110 min
  • 3rd Last Match: vs Jannik Sinner (0-2) hard Indian Wells 121 min
  • 4th Last Match: vs Tommy Paul (2-0) hard Indian Wells 82 min
  • 5th Last Match: vs Karen Khachanov (2-1) hard Indian Wells 135 min

Gabriel Diallo

  • Last Match: vs Alex Molcan (0-2) clay Bucharest 87 min
  • 2nd Last Match: vs Ugo Humbert (0-2) hard Miami 68 min
  • 3rd Last Match: vs Yibing Wu (2-0) hard Miami 90 min
  • 4th Last Match: vs Felix Auger-Aliassime (1-2) hard Indian Wells 147 min
  • 5th Last Match: vs Andrey Rublev (2-1) hard Indian Wells 172 min

Head-to-Head (Last 2 Seasons)

0
Joao Fonseca
vs
0
Gabriel Diallo
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Monte-Carlo in Monaco, a clay-court Masters 1000 event, offers a classic slow-court test in the Round of 64. The model favors Joao Fonseca to progress (59.61% win probability) over Gabriel Diallo (40.39%), with a predicted total of about 24.21 games in the match.

Match Analysis

Rankings are close: Diallo sits at No. 36 while Fonseca is No. 40, but Elo and recent form tilt toward Fonseca (Elo 1709.9 vs 1607.8; form index 46.52 vs 34.03). Both arrive without cumulative tournament fatigue (0.0 minutes on court) and show similar surface strength indices on clay (Fonseca 41.93, Diallo 41.38), so endurance on slow courts should be a neutral factor. Fonseca’s mean serve index is 69.56 versus Diallo’s markedly higher 98.39 — a difference well above 5 points — and his mean return index (67.50) trails Diallo’s strong 89.18 by more than 5 points as well; those service and return gaps are central to the matchup narrative. Recent form underscores inconsistency for both. Fonseca has one win in his last three matches, taking down Fabian Marozsan before losses to top opponents Carlos Alcaraz and Jannik Sinner (all on hard courts). Diallo likewise has one win in three, with his lone victory coming on hard (Yibing Wu) and back-to-back defeats to Ugo Humbert (hard) and Alex Molcan (clay in Bucharest). Neither player brings a long winning streak into Monaco, so match-day execution will matter.

Total Games Predictions

🎾
Expected Total Games in Match 24.2 Most likely outcome: 24 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Joao Fonseca - Gabriel Diallo) +1.9 Most likely spread: +2 (Joao Fonseca wins 2 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction sits at about 8.18 for the match while the model forecasts expected double faults around 4.75. Clay’s slower, higher-bouncing nature typically reduces ace totals, which tempers the predicted aces despite Diallo’s very high serve index; his serve strength could lift the predicted aces somewhat. For double faults prediction, the physical demands of longer rallies on clay can raise error rates later in sets.
🎯
Expected Total Aces 8.2 Most likely: 8 aces
Expected Total Double Faults 4.8 Most likely: 4 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Joao Fonseca versus Gabriel Diallo. 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 Gabriel Diallo. 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 Gabriel Diallo. 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 Gabriel Diallo. The curve shows the cumulative probability for each double faults threshold.

Final Prediction

Fonseca’s edge comes from higher Elo and a healthier form index, combined with balanced return metrics that should blunt Diallo’s serving spikes on clay. Watch how Diallo’s serve translates to free points; if Fonseca neutralizes that weapon early, the match should favor him.

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