Kitzbuhel Austria Clay Atp 250 Round of 32

Facundo Diaz Acosta vs Federico Cina: AI Prediction | Games, Spread, Aces & Double Faults

Facundo Diaz Acosta

Rank: #120
38%
VS

Federico Cina

Rank: #174
62%
Expected Total Games: 23.9
Predicted Winner: Federico Cina

Why the Model Favors Federico Cina

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

Serve & return game +5.1 Federico Cina
Recent record by level +3.6 Federico Cina
Fatigue & recent workload +2.3 Facundo Diaz Acosta
Recent form +1.9 Federico Cina
Age +1.5 Federico Cina

Starting from an even matchup, these factors move the model to 62% for Federico Cina. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Facundo Diaz Acosta

Form Index: 31.5
ELO Rating: 1516.0
Glicko2 Rating: 1479.2
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 12.1
Clay: 13.6
Grass: 1.0
Serve Rating: 94.1
Return Rating: 94.0

Federico Cina

Form Index: 53.3
ELO Rating: 1597.2
Glicko2 Rating: 1584.1
Current Fatigue (minutes): 180.0
Surface Strength:
Hard: 11.9
Clay: 16.9
Grass: 6.5
Serve Rating: 94.3
Return Rating: 86.3

Recent Matches

Facundo Diaz Acosta

  • Last Match: vs Lautaro Midon (1-2) clay Bastad 141 min
  • 2nd Last Match: vs Alexis Galarneau (0-2) grass Wimbledon 174 min
  • 3rd Last Match: vs Learner Tien (2-3) clay Roland Garros 174 min
  • 4th Last Match: vs Zhizhen Zhang (3-0) clay Roland Garros 174 min
  • 5th Last Match: vs August Holmgren (2-1) clay Roland Garros 174 min

Federico Cina

  • Last Match: vs Lorenzo Giustino (2-0) clay Kitzbuhel 74 min
  • 2nd Last Match: vs Daniel Michalski (2-1) clay Kitzbuhel 106 min
  • 3rd Last Match: vs Quentin Halys (1-2) clay Gstaad 125 min
  • 4th Last Match: vs Calvin Hemery (2-0) clay Gstaad 81 min
  • 5th Last Match: vs Patrick Zahraj (2-0) clay Gstaad 88 min

Head-to-Head (Last 2 Seasons)

0
Facundo Diaz Acosta
vs
0
Federico Cina
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

This round-of-32 clay match in Kitzbühel projects as a tactical, grind-style contest at an ATP 250 event in Austria. The model favours Federico Cina to win (61.53%) over Facundo Diaz Acosta (38.47%), with a predicted total of about 23.9 games in the match.

Match Analysis

The model’s edge for Cina comes mainly from the serve & return game (+5.1 percentage points) and recent results at this level (+3.6). Federico brings a higher Elo (1597.2 vs 1516.0) and a markedly better recent form index (53.26 vs 31.46), which help explain the projected advantage despite some countervailing signs. Facundo, however, shows a stronger mean return index (94.02) versus Cina’s 86.34 — a gap greater than five points — so return pressure will be a real weapon for Diaz Acosta on clay. Serve ratings are essentially level (94.08 vs 94.27), so no single player should dominate purely from serve power. Fatigue and workload tilt slightly toward Facundo (+2.3 in the explainability output) because Cina has already logged 180 minutes at this tournament while Facundo shows zero cumulative minutes in this event. That said, recent form still nudges the prediction toward Cina (+1.9), and the model also credits an age-related edge to Cina (+1.5). Looking at last three matches: Diaz Acosta has had a tough stretch—three straight losses, including long clay matches (Roland Garros and Bastad with multi-hour encounters). Cina comes in with two wins at Kitzbühel (including a 74-minute straight-sets victory) and a prior loss on clay in Gstaad.

Total Games Predictions

🎾
Expected Total Games in Match 23.9 Most likely outcome: 23 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Facundo Diaz Acosta versus Federico Cina. 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 Facundo Diaz Acosta versus Federico Cina. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Facundo Diaz Acosta - Federico Cina) -1.5 Most likely spread: -2 (Federico Cina wins 2 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Facundo Diaz Acosta versus Federico Cina. Positive values indicate Facundo Diaz Acosta winning more games, negative values indicate Federico Cina winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Facundo Diaz Acosta versus Federico Cina. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for this match is modest: predicted aces ~8.18 for the match and an expected double faults total of about 5.05. On clay, the surface tends to suppress big-serve outcomes, so the predicted aces are lower than on faster courts; the expected double faults follow from the longer rallies and physical demand. Neither player posts a significantly higher serve rating, so no single server is likely to inflate the predicted aces substantially.
🎯
Expected Total Aces 8.2 Most likely: 8 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 Facundo Diaz Acosta versus Federico Cina. 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 Facundo Diaz Acosta versus Federico Cina. 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 Facundo Diaz Acosta versus Federico Cina. 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 Facundo Diaz Acosta versus Federico Cina. 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

28.8% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Facundo Diaz Acosta's perspective)

0-2 Most likely set score (36.8%)
Probability distribution of the final set score from Facundo Diaz Acosta's perspective. Format: BO3.

Final Prediction

Overall, Federico Cina’s edge is driven chiefly by the serve & return assessment and stronger recent results at this level. The key factor to watch is how effectively Diaz Acosta can convert his superior return index into break opportunities on clay; if he does, the match could tighten beyond the probabilities.

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