Umag Croatia Clay Atp 250 Round of 32

Damir Dzumhur vs Henrique Rocha: AI Prediction | Games, Spread, Aces & Double Faults

Damir Dzumhur

Rank: #105
61%
VS

Henrique Rocha

Rank: #122
39%
Expected Total Games: 23.3
Predicted Winner: Damir Dzumhur

Why the Model Favors Damir Dzumhur

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

Recent record by level +7.2 Damir Dzumhur
Age +5.1 Henrique Rocha
Recent form +3.8 Damir Dzumhur
Surface fit +3.6 Damir Dzumhur
Overall strength +2.7 Damir Dzumhur

Starting from an even matchup, these factors move the model to 61% for Damir Dzumhur. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Damir Dzumhur

Form Index: 29.5
ELO Rating: 1514.5
Glicko2 Rating: 1537.8
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 15.0
Clay: 12.9
Grass: 4.8
Serve Rating: 95.5
Return Rating: 94.7

Henrique Rocha

Form Index: 29.0
ELO Rating: 1466.1
Glicko2 Rating: 1498.5
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 16.8
Clay: 15.0
Grass: 4.4
Serve Rating: 94.9
Return Rating: 87.3

Recent Matches

Damir Dzumhur

Henrique Rocha

Head-to-Head (Last 2 Seasons)

0
Damir Dzumhur
vs
0
Henrique Rocha
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

This round-of-32 clash in Umag, Croatia is a clay-court test at a 250-level event between veteran Damir Dzumhur and rising Henrique Rocha. The model favors Dzumhur to advance (61.18% vs 38.82%) with a predicted total of about 23.27 games in the match.

Match Analysis

The model’s edge for Dzumhur comes mainly from his stronger recent record by level (+7.2 percentage points) and a small advantage in recent form and surface fit (+3.8 and +3.6 pp respectively). Dzumhur brings a higher Elo (1514.5) and a slightly better form index (29.52) than Rocha (Elo 1466.1, form 29.04), and he arrives with zero on-court fatigue for the tournament. Dzumhur’s surface strength index is 12.91 versus Rocha’s 15.01 — a narrow difference that slightly favors Rocha on clay but is outweighed by Dzumhur’s recent results at higher-level events. Serve/return profiles matter on slow clay: Dzumhur’s mean serve index (95.46) is almost identical to Rocha’s (94.86), so there’s no clear serving dominance. However, Dzumhur holds a meaningful edge in return ability (mean return 94.75 vs Rocha’s 87.28), a gap greater than five points that helps explain the predicted break opportunities and lower expected set lengths. Both players have mixed recent results: Dzumhur is 1-2 across his last three matches (a win in Mallorca and two losses on grass including Wimbledon), while Rocha is also 1-2, with a clay win at Roland Garros before two successive defeats. These recent outcomes feed into the model’s assessment of match temperament and level performance.

Total Games Predictions

🎾
Expected Total Games in Match 23.3 Most likely outcome: 23 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Damir Dzumhur versus Henrique Rocha. 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 Damir Dzumhur versus Henrique Rocha. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Damir Dzumhur - Henrique Rocha) +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 Damir Dzumhur versus Henrique Rocha. Positive values indicate Damir Dzumhur winning more games, negative values indicate Henrique Rocha winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Damir Dzumhur versus Henrique Rocha. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction is modest — predicted aces ~4.37 — consistent with clay’s tendency to reduce free points. The double faults prediction is higher, with expected double faults ~5.87, reflecting longer rallies and potential late-match fatigue on clay. Neither player has a significantly higher serve rating to push the predicted aces much higher.
🎯
Expected Total Aces 4.4 Most likely: 4 aces
Expected Total Double Faults 5.9 Most likely: 5 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Damir Dzumhur versus Henrique Rocha. 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 Damir Dzumhur versus Henrique Rocha. 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 Damir Dzumhur versus Henrique Rocha. 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 Damir Dzumhur versus Henrique Rocha. 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

33.9% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Damir Dzumhur's perspective)

2-0 Most likely set score (31.8%)
Probability distribution of the final set score from Damir Dzumhur's perspective. Format: BO3.

Final Prediction

Dzumhur’s projected advantage is driven chiefly by his superior recent record at higher levels. Watch the return game — Dzumhur’s stronger return index is the key factor likely to decide break chances and, ultimately, the outcome.

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