Delray Beach FL, U.S.A. Hard Atp 250 Round of 32

Aleksandar Kovacevic vs Zachary Svajda: AI Prediction | Games, Spread, Aces & Double Faults

Aleksandar Kovacevic

Rank: #78
48%
VS

Zachary Svajda

Rank: #110
52%
Expected Total Games: 24.2
Predicted Winner: Zachary Svajda

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Player Metrics

Aleksandar Kovacevic

Form Index: 34.6
ELO Rating: 879.3
Glicko2 Rating: 1556.1
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 4.7
Clay: 5.5
Grass: 6.3
Serve Rating: 84.7
Return Rating: 28.2

Zachary Svajda

Form Index: 61.1
ELO Rating: 515.5
Glicko2 Rating: 1550.2
Current Fatigue (minutes): 145.0
Surface Strength:
Hard: 5.7
Clay: 3.8
Grass: 3.7
Serve Rating: 95.6
Return Rating: 89.3

Recent Matches

Aleksandar Kovacevic

Zachary Svajda

  • Last Match: vs Yibing Wu (2-0) hard Delray Beach 78 min
  • 2nd Last Match: vs Liam Draxl (2-0) hard Delray Beach 67 min
  • 3rd Last Match: vs Alejandro Davidovich Fokina (0-2) hard Dallas 94 min
  • 4th Last Match: vs Tristan Boyer (2-1) hard Dallas 138 min
  • 5th Last Match: vs Georgi Georgiev (2-0) hard Dallas 86 min

Head-to-Head (Last 2 Seasons)

0
Aleksandar Kovacevic
vs
0
Zachary Svajda
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At the Delray Beach hard-court event in Florida, Round of 32 action pits Aleksandar Kovacevic against Zachary Svajda in an evenly matched contest at an ATP 250-level tournament. The model predicts Zachary Svajda to win with a 51.99% probability to Kovacevic’s 48.01%, and forecasts a relatively short match of about 24.17 total games.

Match Analysis

Kovacevic enters ranked 78 with an Elo of 879.34, a modest form index (34.60) and no accumulated fatigue from this event. His strengths lie more in serving than returning: mean serve index 84.73 versus a mean return index of 28.21, and a low surface strength index (4.74). Svajda is ranked 110 with a lower Elo (515.48) but a markedly higher form index (61.12) and 145 minutes of court time this tournament. He posts a higher mean serve index (95.60) and a much stronger mean return index (89.34), with a slightly higher surface strength index (5.71). The serve index gap (>5 points) and the very large return index gap (>5 points) both favor Svajda and are likely to shape patterns of hold and break opportunities. Recent results show Kovacevic with one win and two losses in his last three hard-court matches: a straight-sets loss to Denis Shapovalov, a win over Patrick Kypson, and a three-set loss in Montpellier. Svajda has been sharper lately at Delray Beach with back-to-back straight-set wins over Yibing Wu and Liam Draxl after a prior loss to Alejandro Davidovich Fokina in Dallas. These trends underline Svajda’s current match rhythm despite slightly higher fatigue.

Total Games Predictions

🎾
Expected Total Games in Match 24.2 Most likely outcome: 24 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Aleksandar Kovacevic versus Zachary Svajda. 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 Aleksandar Kovacevic versus Zachary Svajda. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Aleksandar Kovacevic - Zachary Svajda) -0.4 Most likely spread: -1 (Zachary Svajda wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Aleksandar Kovacevic versus Zachary Svajda. Positive values indicate Aleksandar Kovacevic winning more games, negative values indicate Zachary Svajda winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Aleksandar Kovacevic versus Zachary Svajda. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for the match is 12.1 total, and the double faults prediction sits at an expected double faults figure of 4.45. On a medium-paced hard court, predicted aces are moderate; the surface balances serve effectiveness and return opportunities. Given Svajda’s significantly higher serve rating, he is likely to contribute disproportionately to the predicted aces count.
🎯
Expected Total Aces 12.1 Most likely: 12 aces
Expected Total Double Faults 4.5 Most likely: 4 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Aleksandar Kovacevic versus Zachary Svajda. 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 Aleksandar Kovacevic versus Zachary Svajda. 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 Aleksandar Kovacevic versus Zachary Svajda. 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 Aleksandar Kovacevic versus Zachary Svajda. The curve shows the cumulative probability for each double faults threshold.

Final Prediction

Svajda’s superior form, combined serve and return indices give him a narrow edge in this matchup despite Kovacevic’s higher rank and Elo. Watch Svajda’s return performance and Kovacevic’s ability to hold serve early — those factors should decide whether the match stays tight or tips decisively.

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