Umag Croatia Clay Atp 250 Round of 16

Federico Agustin Gomez vs Matteo Arnaldi: AI Prediction | Games, Spread, Aces & Double Faults

Federico Agustin Gomez

Rank: #212
35%
VS

Matteo Arnaldi

Rank: #34
65%
Expected Total Games: 23.7
Predicted Winner: Matteo Arnaldi

Why the Model Favors Matteo Arnaldi

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

Recent record by level +6.0 Matteo Arnaldi
Overall strength +4.1 Matteo Arnaldi
Overall record & opposition quality +1.7 Matteo Arnaldi
Age +1.4 Matteo Arnaldi
Recent form +1.3 Federico Agustin Gomez

Starting from an even matchup, these factors move the model to 65% for Matteo Arnaldi. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Federico Agustin Gomez

Form Index: 44.4
ELO Rating: 1505.5
Glicko2 Rating: 1546.6
Current Fatigue (minutes): 336.0
Surface Strength:
Hard: 13.5
Clay: 15.9
Grass: 3.7
Serve Rating: 95.2
Return Rating: 92.4

Matteo Arnaldi

Form Index: 45.8
ELO Rating: 1727.7
Glicko2 Rating: 1677.9
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 11.6
Clay: 36.1
Grass: 4.1
Serve Rating: 94.7
Return Rating: 86.3

Recent Matches

Federico Agustin Gomez

  • Last Match: vs Niels McDonald (2-0) clay Umag 116 min
  • 2nd Last Match: vs Andrea Guerrieri (2-0) clay Umag 105 min
  • 3rd Last Match: vs Raul Brancaccio (2-1) clay Umag 115 min
  • 4th Last Match: vs Clement Tabur (0-2) grass Wimbledon 174 min
  • 5th Last Match: vs Dalibor Svrcina (0-2) clay Roland Garros 174 min

Matteo Arnaldi

  • Last Match: vs Quentin Halys (1-3) grass Wimbledon 174 min
  • 2nd Last Match: vs Giles Hussey (0-2) grass Eastbourne 87 min
  • 3rd Last Match: vs Toby Samuel (2-1) grass Eastbourne 127 min
  • 4th Last Match: vs Alastair Gray (2-0) grass Eastbourne 135 min
  • 5th Last Match: vs Matteo Berrettini (1-0) clay Roland Garros 174 min

Head-to-Head (Last 2 Seasons)

0
Federico Agustin Gomez
vs
0
Matteo Arnaldi
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Round of 16 in Umag, Croatia on clay — an important clay swing at an ATP 250-level event — pits Federico Agustin Gomez against Matteo Arnaldi. The model projects Arnaldi to win (65.24%) while Gomez sits at 34.76%, with a predicted total of about 23.7 games in the match.

Match Analysis

The model’s edge for Arnaldi comes mainly from recent record by level and overall strength, with secondary contributions from overall record/opposition quality and age; Gomez’s recent form nudges the projection back slightly. That aligns with the numbers: Arnaldi is a much higher-ranked player (No. 34 vs No. 212) and carries a stronger Elo (1727.7 vs 1505.5). His surface strength index on clay (36.12) is also notably higher than Gomez’s (15.85), and those metrics explain much of the model’s lean toward him. Conversely, Gomez arrives with momentum at Umag — three wins in three matches this week — which is reflected as a modest +1.3 percentage point tilt in his favor. Physical context matters: Gomez has logged 336 minutes on court in this tournament, while Arnaldi shows zero cumulative fatigue here, which could play into longer rallies on clay. Serve profiles are similar — mean serve indices are nearly identical — but Gomez has a meaningful advantage in return (92.45 vs 86.30), a gap greater than five points that suggests he’ll look to attack Arnaldi’s service games. Recent form over the last three matches is divergent: Gomez is unbeaten at Umag (two straight 2-0 wins and a 2-1), while Arnaldi’s trio shows one win and two losses on grass, including a long 3-1 match at a major.

Total Games Predictions

🎾
Expected Total Games in Match 23.7 Most likely outcome: 23 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Federico Agustin Gomez versus Matteo Arnaldi. 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 Federico Agustin Gomez versus Matteo Arnaldi. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Federico Agustin Gomez - Matteo Arnaldi) -2.2 Most likely spread: -3 (Matteo Arnaldi wins 3 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Federico Agustin Gomez versus Matteo Arnaldi. Positive values indicate Federico Agustin Gomez winning more games, negative values indicate Matteo Arnaldi winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Federico Agustin Gomez versus Matteo Arnaldi. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

Aces prediction: the match is expected to produce about 8.78 total aces, while the predicted aces count may be suppressed by the slow clay surface. Double faults prediction: about 6.71 expected double faults. Clay typically reduces outright aces and can increase expected double faults as rallies and pressure build; neither player has a significantly higher serve rating to materially lift the predicted aces.
🎯
Expected Total Aces 8.8 Most likely: 8 aces
Expected Total Double Faults 6.7 Most likely: 6 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Federico Agustin Gomez versus Matteo Arnaldi. 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 Federico Agustin Gomez versus Matteo Arnaldi. 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 Federico Agustin Gomez versus Matteo Arnaldi. 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 Federico Agustin Gomez versus Matteo Arnaldi. 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

42.8% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Federico Agustin Gomez's perspective)

0-2 Most likely set score (41.9%)
Probability distribution of the final set score from Federico Agustin Gomez's perspective. Format: BO3.

Final Prediction

Arnaldi’s overall strength and higher-level credentials — the model’s top factor — give him the edge despite Gomez’s hot run in Umag. Watch Gomez’s return efficiency and Arnaldi’s ability to translate his higher-level play to clay: those two elements will decide whether this projects into a straight-set win or a tighter contest.

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