Dallas TX, U.S.A. Hard Atp 500 Round of 32

Zachary Svajda vs Alejandro Davidovich Fokina: AI Prediction | Games, Aces & Double Faults

Zachary Svajda

Rank: #109
37%
VS

Alejandro Davidovich Fokina

Rank: #15
63%
Expected Total Games: 23.8
Predicted Winner: Alejandro Davidovich Fokina

Player Metrics

Zachary Svajda

Form Index: 65.5
ELO Rating: 484.1
Glicko2 Rating: 1547.7
Current Fatigue (minutes): 224.0
Surface Strength:
Hard: 3.3
Clay: 2.7
Grass: 2.8
Serve Rating: 46.1
Return Rating: 29.6

Alejandro Davidovich Fokina

Form Index: 65.5
ELO Rating: 2270.7
Glicko2 Rating: 1584.0
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 14.2
Clay: 20.7
Grass: 22.5
Serve Rating: 97.1
Return Rating: 92.3

Recent Matches

Zachary Svajda

  • Last Match: vs Tristan Boyer (2-1) hard Dallas 138 min
  • 2nd Last Match: vs Georgi Georgiev (2-0) hard Dallas 86 min
  • 3rd Last Match: vs Kimmer Coppejans (2-0) hard Australian Open 174 min
  • 4th Last Match: vs Yannick Hanfmann (1-3) hard Australian Open 174 min
  • 5th Last Match: vs Jurij Rodionov (2-0) hard Australian Open 174 min

Alejandro Davidovich Fokina

  • Last Match: vs Tommy Paul (0-2) hard Australian Open 174 min
  • 2nd Last Match: vs Reilly Opelka (3-2) hard Australian Open 174 min
  • 3rd Last Match: vs Filip Misolic (3-0) hard Australian Open 174 min
  • 4th Last Match: vs Ugo Humbert (1-2) hard Adelaide 152 min
  • 5th Last Match: vs Valentin Vacherot (2-0) hard Adelaide 92 min

Head-to-Head (Last 2 Seasons)

0
Zachary Svajda
vs
0
Alejandro Davidovich Fokina
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

This Round of 32 match in Dallas, TX on hard courts is part of a 500-level tournament and pits American Zachary Svajda against Spain’s Alejandro Davidovich Fokina. The model favors Davidovich Fokina to win (63.23% vs 36.77% for Svajda) with a projected total of about 23.8 games in the match.

Match Analysis

On paper the matchup is defined by a large gap in Elo and ranking: Svajda sits at world No. 109 with an Elo of 484.05 while Davidovich is ranked 15 with an Elo of 2270.72. Form indices are nearly identical (65.51 vs 65.53), so short-term momentum looks even, but fatigue and surface profile tilt the balance. Svajda arrives with 224 minutes already played in the event; Davidovich shows zero tournament minutes. Surface strength indexes favor Davidovich (14.23 vs 3.28). There is a pronounced difference in serving and returning — Davidovich’s mean serve index (97.08) is far higher than Svajda’s (46.13), and his mean return index (92.31) also substantially eclipses Svajda’s (29.58), both differences well above 5 points. Recent match patterns reinforce those metrics. Svajda has three straight hard-court wins in his last three matches (including a 2–1 win in Dallas and two straight-set victories, with match times of 138, 86 and 174 minutes). Davidovich’s last three came at the Australian Open on hard courts: two wins (including a five-set win over Reilly Opelka) and a loss to Tommy Paul, with each recorded match at 174 minutes.

Total Games Predictions

🎾
Expected Total Games in Match 23.8 Most likely outcome: 23 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Cumulative Probability (CDF)

Probability of total games ≤ X

Aces and Double Faults Predictions

This aces prediction points to a relatively high serve count for the match: predicted aces total is 19.38, reflecting Davidovich’s elite serve index and the medium-paced hard surface. The double faults prediction is moderate — expected double faults sit at 5.72 for the match. Given Davidovich’s much higher serve rating, he is likely to be the primary contributor to the ace tally.
🎯
Expected Total Aces 19.4 Most likely: 19 aces
Expected Total Double Faults 5.7 Most likely: 5 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Cumulative Probability (CDF)

Probability of aces ≤ X

Double Faults Probability Distribution

Distribution

Probability of each double fault count outcome

Cumulative Probability (CDF)

Probability of double faults ≤ X

Final Prediction

Davidovich Fokina’s big edges in Elo, serve and return metrics and fresher legs explain the projected advantage. The key factor to watch is his serve/return dominance early in sets; Svajda’s ability to withstand pressure while managing accumulated court time will determine how close this result becomes.

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