Mallorca Spain Grass Atp 250 Round of 16

Fabian Marozsan vs Alejandro Tabilo: AI Prediction | Games, Spread, Aces & Double Faults

Fabian Marozsan

Rank: #61
46%
VS

Alejandro Tabilo

Rank: #31
54%
Expected Total Games: 25.3
Predicted Winner: Alejandro Tabilo

Why the Model Favors Alejandro Tabilo

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

Recent form +5.9 Fabian Marozsan
Serve & return game +2.6 Alejandro Tabilo
Overall record & opposition quality +2.5 Alejandro Tabilo
Age +1.5 Fabian Marozsan
Surface fit +1.5 Alejandro Tabilo

Starting from an even matchup, these factors move the model to 54% for Alejandro Tabilo. 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: 30.4
ELO Rating: 1572.2
Glicko2 Rating: 1653.4
Current Fatigue (minutes): 145.0
Surface Strength:
Hard: 23.9
Clay: 17.5
Grass: 12.4
Serve Rating: 97.0
Return Rating: 92.0

Alejandro Tabilo

Form Index: 40.8
ELO Rating: 1684.3
Glicko2 Rating: 1740.6
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 25.0
Clay: 22.5
Grass: 9.0
Serve Rating: 96.5
Return Rating: 86.8

Recent Matches

Fabian Marozsan

  • Last Match: vs Alex Molcan (2-1) grass Mallorca 145 min
  • 2nd Last Match: vs Taylor Fritz (0-2) grass Halle 66 min
  • 3rd Last Match: vs Miomir Kecmanovic (2-1) grass Halle 120 min
  • 4th Last Match: vs Gauthier Onclin (0-2) grass Stuttgart 96 min
  • 5th Last Match: vs Miomir Kecmanovic (0-3) clay Roland Garros 174 min

Alejandro Tabilo

Head-to-Head (Last 2 Seasons)

0
Fabian Marozsan
vs
0
Alejandro Tabilo
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Mallorca, Spain — round of 16 on grass at an ATP 250 event sets up a contrast of styles between Fabian Marozsan and Alejandro Tabilo. The model favors Tabilo to win (54.15%) over Marozsan (45.85%) with an expected total of about 25.3 games in the match.

Match Analysis

Although recent match-level form nudges toward Marozsan in the explainability output, the model gives Tabilo the overall edge mainly through his serve/return package and slightly stronger season-long credentials. Marozsan arrives with recent grass wins (he beat Alex Molcan and Miomir Kecmanovic and only fell to Taylor Fritz in Halle), and that recent form component added roughly 5.9 percentage points in his favour. His form index is 30.45, Elo 1572, and he brings 145 minutes of fatigue from earlier rounds in Mallorca. Tabilo’s advantage is reflected in rank (31 vs 61) and a higher Elo (1684), which together contributed about 2.5 percentage points to his probability. Surface strength indices for both players are low (Marozsan 12.36, Tabilo 8.99) and the model still gives Tabilo a slight surface-fit bump. Serve metrics are comparable (Marozsan mean serve 96.97; Tabilo 96.50 — a difference under 5 points), but Marozsan holds a materially better mean return index (92.01 vs 86.83), a gap of just over five points that could make return games pivotal. Tabilo’s recent results are mixed (one win in his last three), with two straight losses coming into this event; Marozsan has two wins and one loss in his last three, both on grass.

Total Games Predictions

🎾
Expected Total Games in Match 25.3 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 Alejandro Tabilo. 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 Alejandro Tabilo. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Fabian Marozsan - Alejandro Tabilo) -0.7 Most likely spread: -1 (Alejandro Tabilo 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 Alejandro Tabilo. Positive values indicate Fabian Marozsan winning more games, negative values indicate Alejandro Tabilo winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction sits at about 15 total for the match with an expected double faults figure near 4.6. Grass naturally boosts the predicted aces, and because both players show similarly high serve indices there isn’t a clear single-server expected to dominate the ace count. The predicted aces and expected double faults reflect a fast surface and closely matched serving profiles.
🎯
Expected Total Aces 15.0 Most likely: 14 aces
Expected Total Double Faults 4.6 Most likely: 4 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Fabian Marozsan versus Alejandro Tabilo. 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 Alejandro Tabilo. 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 Alejandro Tabilo. 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 Alejandro Tabilo. 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

49.6% Predicted: No tiebreak

Exact Score Distribution BO3

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

0-2 Most likely set score (30.8%)
Probability distribution of the final set score from Fabian Marozsan's perspective. Format: BO3.

Final Prediction

Tabilo’s narrow edge comes down to the serve & return/overall record factors identified by the model, plus a higher Elo and ranking. Watch Marozsan’s return intensity early: if he can convert that advantage it could swing tight service games and upset the predicted outcome.

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