Mallorca Spain Grass Atp 250 Round of 32

Fabian Marozsan vs Alex Molcan: AI Prediction | Games, Spread, Aces & Double Faults

Fabian Marozsan

Rank: #61
60%
VS

Alex Molcan

Rank: #101
40%
Expected Total Games: 25.4
Predicted Winner: Fabian Marozsan

Why the Model Favors Fabian Marozsan

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

Recent record by level +12.8 Fabian Marozsan
Overall strength +6.6 Fabian Marozsan
Surface fit +5.5 Alex Molcan
Recent form +2.6 Fabian Marozsan
Serve & return game +2.5 Alex Molcan

Starting from an even matchup, these factors move the model to 60% for Fabian Marozsan. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Fabian Marozsan

Form Index: 26.7
ELO Rating: 1552.2
Glicko2 Rating: 1630.8
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 23.9
Clay: 17.5
Grass: 11.1
Serve Rating: 97.0
Return Rating: 92.2

Alex Molcan

Form Index: 55.7
ELO Rating: 1639.5
Glicko2 Rating: 1788.1
Current Fatigue (minutes): 192.0
Surface Strength:
Hard: 12.6
Clay: 20.1
Grass: 9.4
Serve Rating: 95.2
Return Rating: 89.6

Recent Matches

Fabian Marozsan

  • Last Match: vs Taylor Fritz (0-2) grass Halle 66 min
  • 2nd Last Match: vs Miomir Kecmanovic (2-1) grass Halle 120 min
  • 3rd Last Match: vs Gauthier Onclin (0-2) grass Stuttgart 96 min
  • 4th Last Match: vs Miomir Kecmanovic (0-3) clay Roland Garros 174 min
  • 5th Last Match: vs Vit Kopriva (0-2) clay Rome 78 min

Alex Molcan

  • Last Match: vs Murphy Cassone (2-1) grass Mallorca 135 min
  • 2nd Last Match: vs Ziga Sesko (2-0) grass Mallorca 57 min
  • 3rd Last Match: vs Felix Gill (1-2) clay Roland Garros 174 min
  • 4th Last Match: vs Oliver Crawford (2-1) clay Roland Garros 174 min
  • 5th Last Match: vs Ben Shelton (0-2) clay Munich 96 min

Head-to-Head (Last 2 Seasons)

0
Fabian Marozsan
vs
0
Alex Molcan
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Mallorca, Spain — round of 32 on grass at an ATP 250 event. The model backs Fabian Marozsan to edge this one, projecting a 59.97% chance for Marozsan versus 40.03% for Alex Molcan, with an expected total of about 25.35 games in the match.

Match Analysis

The model’s edge for Marozsan comes mainly from his recent record by level (+12.8 percentage points) and an overall strength tilt (+6.6 points) in his favor; those two drivers account for most of the prediction margin. Surface fit and serve/return metrics push slightly toward Molcan (+5.5 and +2.5 points respectively), while recent form gives a small additional lift to Marozsan (+2.6). Concretely, Marozsan arrives ranked 61 with an Elo of 1552.24, a form index of 26.73, zero minutes of tournament fatigue and a surface strength index of 11.11. Molcan is ranked 101 but has a higher Elo at 1639.52, a form index of 55.74, 192 minutes of fatigue, and a surface strength index of 9.43. Both players show strong serving profiles (mean serve index 96.95 for Marozsan vs 95.20 for Molcan) and comparable return numbers (92.23 vs 89.61). Over their last three matches, Marozsan is 1–2: a quality 2–1 win over Miomir Kecmanovic at Halle but losses to Taylor Fritz and Gauthier Onclin. Molcan is 2–1 on recent form at Mallorca (wins over Murphy Cassone and Ziga Sesko) with a longer clay match loss at Roland Garros before that. The freshness advantage clearly favors Marozsan given Molcan’s 192 minutes already on court this week.

Total Games Predictions

🎾
Expected Total Games in Match 25.4 Most likely outcome: 25 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Fabian Marozsan versus Alex Molcan. 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 Fabian Marozsan versus Alex Molcan. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Fabian Marozsan - Alex Molcan) +1.2 Most likely spread: +1 (Fabian Marozsan wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Fabian Marozsan versus Alex Molcan. Positive values indicate Fabian Marozsan winning more games, negative values indicate Alex Molcan winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Fabian Marozsan versus Alex Molcan. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for the match is 9.81 total, and the double faults prediction is 5.01 expected double faults. Grass typically boosts the ace count because of the low, fast bounce, so the predicted aces figure is consistent with surface conditions. Neither player has a significantly higher serve rating (difference under 5 points), so the ace distribution should be relatively balanced.
🎯
Expected Total Aces 9.8 Most likely: 9 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 Fabian Marozsan versus Alex Molcan. 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 Fabian Marozsan versus Alex Molcan. 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 Fabian Marozsan versus Alex Molcan. 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 Fabian Marozsan versus Alex Molcan. 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

39.8% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Fabian Marozsan's perspective)

2-0 Most likely set score (38.6%)
Probability distribution of the final set score from Fabian Marozsan's perspective. Format: BO3.

Final Prediction

Marozsan’s edge is driven above all by recent record by level and an overall strength advantage, together with his freshness in this event. Keep an eye on Molcan’s fatigue and early service holds — if his legs look heavy, Marozsan’s probability of closing this in straights or a short three-setter increases.

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