Gstaad Switzerland Clay Atp 250 Round of 16

Juan Manuel Cerundolo vs Miomir Kecmanovic: AI Prediction | Games, Spread, Aces & Double Faults

Juan Manuel Cerundolo

Rank: #45
49%
VS

Miomir Kecmanovic

Rank: #59
51%
Expected Total Games: 25.6
Predicted Winner: Miomir Kecmanovic

Why the Model Favors Miomir Kecmanovic

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

Recent form +2.6 Juan Manuel Cerundolo
Surface fit +1.5 Miomir Kecmanovic
Overall record & opposition quality +1.3 Miomir Kecmanovic
Recent record by level +1.1 Miomir Kecmanovic
Age +0.8 Juan Manuel Cerundolo

Starting from an even matchup, these factors move the model to 51% for Miomir Kecmanovic. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Juan Manuel Cerundolo

Form Index: 46.4
ELO Rating: 1693.4
Glicko2 Rating: 1664.9
Current Fatigue (minutes): 128.0
Surface Strength:
Hard: 8.6
Clay: 32.0
Grass: 8.6
Serve Rating: 95.9
Return Rating: 94.9

Miomir Kecmanovic

Form Index: 36.6
ELO Rating: 1587.5
Glicko2 Rating: 1602.7
Current Fatigue (minutes): 97.0
Surface Strength:
Hard: 19.1
Clay: 14.4
Grass: 15.9
Serve Rating: 95.9
Return Rating: 87.9

Recent Matches

Juan Manuel Cerundolo

Miomir Kecmanovic

  • Last Match: vs Kilian Feldbausch (2-1) clay Gstaad 97 min
  • 2nd Last Match: vs Jannik Sinner (2-3) grass Wimbledon 174 min
  • 3rd Last Match: vs Fabian Marozsan (0-2) grass Mallorca 77 min
  • 4th Last Match: vs Lorenzo Sonego (2-1) grass Mallorca 126 min
  • 5th Last Match: vs Antoine Ghibaudo (2-1) grass Mallorca 139 min

Head-to-Head (Last 2 Seasons)

0
Juan Manuel Cerundolo
vs
0
Miomir Kecmanovic
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

This round-of-16 clash in Gstaad (clay) projects as a tight, low-stakes indoor-outdoor style battle at an ATP 250. The model gives Miomir Kecmanovic the narrow edge: 50.57% to win versus Juan Manuel Cerundolo at 49.43%, with a predicted total of about 25.6 games in the match.

Match Analysis

The model’s strongest individual signal comes from recent form, which leans 2.6 percentage points toward Cerundolo — reflected in his higher form index (46.45 vs Kecmanovic’s 36.65) and a hard-fought opening win in Gstaad over Zdenek Kolar. That recent momentum and Cerundolo’s higher Elo (1693.4 vs 1587.5) and surface strength index (31.98 vs 14.38) help explain why he remains firmly in contention despite the close projection. Age also nudges slightly (0.8 points) toward Cerundolo in the model’s accounting. Kecmanovic’s marginal pre-match advantage is driven by a cluster of smaller factors: surface fit (+1.5), overall record & opposition quality (+1.3), and recent record by level (+1.1). The data behind those pushes include his straight-set-ish progress in Gstaad (a win over Kilian Feldbausch) and lower cumulative fatigue (97 minutes on court this tournament versus Cerundolo’s 128). Serve profiles are nearly identical (mean serve indices ~95.9 each), but Cerundolo holds a clear edge in return (mean return 94.88 vs 87.93) — a difference greater than five points that could tilt the balance on a slow clay court. Over the last three matches both players show one win apiece: each won their Gstaad opener but struggled on grass earlier in the swing.

Total Games Predictions

🎾
Expected Total Games in Match 25.6 Most likely outcome: 25 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Juan Manuel Cerundolo versus Miomir Kecmanovic. 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 Juan Manuel Cerundolo versus Miomir Kecmanovic. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Juan Manuel Cerundolo - Miomir Kecmanovic) +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 Juan Manuel Cerundolo versus Miomir Kecmanovic. Positive values indicate Juan Manuel Cerundolo winning more games, negative values indicate Miomir Kecmanovic winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Juan Manuel Cerundolo versus Miomir Kecmanovic. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

Aces prediction: the match is expected to produce about 10.7 aces total; predicted aces are suppressed by the clay surface, which typically reduces outright service winners. Double faults prediction: the expected double faults total is roughly 5.0, and the clay court’s longer rallies and the higher fatigue on Cerundolo could contribute to more unforced serving errors. With almost identical serve indices, no single player projects to dominate the ace count.
🎯
Expected Total Aces 10.7 Most likely: 10 aces
Expected Total Double Faults 5.0 Most likely: 5 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Juan Manuel Cerundolo versus Miomir Kecmanovic. 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 Juan Manuel Cerundolo versus Miomir Kecmanovic. 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 Juan Manuel Cerundolo versus Miomir Kecmanovic. 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 Juan Manuel Cerundolo versus Miomir Kecmanovic. 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

39.9% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Juan Manuel Cerundolo's perspective)

2-0 Most likely set score (30.4%)
Probability distribution of the final set score from Juan Manuel Cerundolo's perspective. Format: BO3.

Final Prediction

Kecmanovic’s edge is wafer-thin and comes from the sum of small model advantages (surface fit, opposition quality and recent level), even though the model’s top single driver—recent form—favors Cerundolo. The key factor to watch is Cerundolo’s return effectiveness on clay; if he converts break chances early, he becomes the favorite despite the nominal prediction.

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