ATP tennis predict — Marek Gengel vs Svyatoslav Gulin

Challenger Clay Prague 2 challenger · qualification - 1. round 10:00

Predicted probability

Marek Gengel

Czech Republic

35.83%

Svyatoslav Gulin

Russia

64.17%

Average Odds

3.55 / 1.27

Market probability

26.35% / 73.65%

Why This Prediction?

Svyatoslav Gulin is the favorite because he has a higher Elo rating on clay courts (1587 vs 1303) and more wins on clay courts (21 vs 9).

Player Comparison

1532.0 Elo 1556.2

1303.4 Elo (surface) 1586.8

71 Wins (Challenger) 27

9 Wins (surface) 21

11 Last 15 form 9

0 Head-to-head wins 0

1.289 Dominance ratio 1.049

376 Rank 570

30.9 Age 23.7

right Hand right

Performance vs. the Odds

Career record grouped by how big a favorite the market made each player, based on their average odds.

Marek Gengel

Heavy favorite (odds below 1.30) 0W–0L · 0.0%

Favorite (odds 1.30-1.80) 1W–1L · 50.0%

Even match (odds 1.80-2.20) 1W–0L · 100.0%

Underdog (odds 2.20-4.00) 0W–3L · 0.0%

Heavy underdog (odds above 4.00) 0W–1L · 0.0%

7 matches with market odds since 2026-05-31.

Svyatoslav Gulin

Heavy favorite (odds below 1.30) 3W–0L · 100.0%

Favorite (odds 1.30-1.80) 4W–0L · 100.0%

Even match (odds 1.80-2.20) 1W–2L · 33.3%

Underdog (odds 2.20-4.00) 2W–4L · 33.3%

Heavy underdog (odds above 4.00) 0W–0L · 0.0%

16 matches with market odds since 2026-06-07.

Serve & Return

Serve and return win rates from each player's last 10 matches at the selected level.

Marek Gengel Svyatoslav Gulin

1st Serve In %

63.3%

—

1st Serve Points Won %

59.5%

—

2nd Serve Points Won %

45.1%

—

Return Points Won vs 1st Serve %

24.7%

—

Return Points Won vs 2nd Serve %

48.5%

—

Aces per Service Game

0.33

—

Double Faults per Service Game

0.31

—

Based on each player's last 10 ATP/Grand Slam matches.

1st Serve In %

62.3%

61.2%

1st Serve Points Won %

72.4%

69.0%

2nd Serve Points Won %

49.4%

54.4%

Return Points Won vs 1st Serve %

32.1%

26.1%

Return Points Won vs 2nd Serve %

56.3%

43.1%

Aces per Service Game

0.71

0.42

Double Faults per Service Game

0.28

0.23

Based on each player's last 10 Challenger matches.

Break Point Performance

How each player handles the biggest points - break points saved serving, and converted returning - from their last 10 matches at the selected level.

Marek Gengel Svyatoslav Gulin

Break Points Saved %

49.3%

—

Break Points Converted %

33.3%

—

Based on each player's last 10 ATP/Grand Slam matches.

Break Points Saved %

63.8%

62.5%

Break Points Converted %

43.0%

33.9%

Based on each player's last 10 Challenger matches.

Head-to-Head

Marek Gengel and Svyatoslav Gulin have never played each other.

Marek Gengel vs Svyatoslav Gulin — Prediction