ATP tennis predict — Sumit Nagal vs Petr Brunclik

Challenger Clay Liberec challenger · R16

Predicted probability

Sumit Nagal

India

58.78%

Petr Brunclik

Czech Republic

41.22%

Average Odds

1.92 / 1.80

Market probability

48.39% / 51.61%

Why This Prediction?

Sumit Nagal is the favorite because he has more wins on clay courts (169 vs 16), a higher Elo rating on clay courts (1690 vs 1626) and a stronger return game (42.4% vs 36.2% of return points won).

Player Comparison

1694.5 Elo 1658.3

1690.3 Elo (surface) 1626.0

219 Wins (Challenger) 40

169 Wins (surface) 16

9 Last 15 form 10

0 Head-to-head wins 1

1.088 Dominance ratio 0.919

246 Rank 340

29.0 Age 20.0

right Hand left

Performance vs. the Odds

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

Sumit Nagal

Heavy favorite (odds below 1.30) 1W–1L · 50.0%

Favorite (odds 1.30-1.80) 4W–4L · 50.0%

Even match (odds 1.80-2.20) 6W–2L · 75.0%

Underdog (odds 2.20-4.00) 2W–1L · 66.7%

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

22 matches with market odds since 2026-05-26.

Petr Brunclik

Heavy favorite (odds below 1.30) 1W–0L · 100.0%

Favorite (odds 1.30-1.80) 4W–3L · 57.1%

Even match (odds 1.80-2.20) 0W–4L · 0.0%

Underdog (odds 2.20-4.00) 0W–1L · 0.0%

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

13 matches with market odds since 2026-06-09.

Serve & Return

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

Sumit Nagal Petr Brunclik

1st Serve In %

67.2%

—

1st Serve Points Won %

61.8%

—

2nd Serve Points Won %

46.8%

—

Return Points Won vs 1st Serve %

28.0%

—

Return Points Won vs 2nd Serve %

38.6%

—

Aces per Service Game

0.17

—

Double Faults per Service Game

0.22

—

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

1st Serve In %

65.1%

59.8%

1st Serve Points Won %

63.6%

71.7%

2nd Serve Points Won %

44.7%

50.4%

Return Points Won vs 1st Serve %

35.9%

31.6%

Return Points Won vs 2nd Serve %

42.8%

52.5%

Aces per Service Game

0.24

0.35

Double Faults per Service Game

0.28

0.31

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.

Sumit Nagal Petr Brunclik

Break Points Saved %

52.3%

—

Break Points Converted %

18.2%

—

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

Break Points Saved %

58.1%

65.7%

Break Points Converted %

34.4%

45.2%

Based on each player's last 10 Challenger matches.

Head-to-Head

Sumit Nagal 0 – 1 Petr Brunclik

Clay Liberec challenger · 2026-07-29

R16

Sumit Nagal #246

Petr Brunclik #340

6-4 6-4

6 Aces 1

7 Double Faults 4

61 Service Points 62

35 First Serve In 40

26 First Serve Won 28

10 Second Serve Won 13

8 Break Points Saved 4

11 Break Points Faced 5

- Winners -

- Unforced Errors -

1.9 Average Odds 1.8

Clay Poznan challenger · 2026-06-15

1. round

Petr Brunclik #334

Sumit Nagal #277

6-4 5-4

4 Aces 2

2 Double Faults 0

48 Service Points 57

34 First Serve In 32

28 First Serve Won 19

7 Second Serve Won 18

0 Break Points Saved 3

1 Break Points Faced 6

13 Winners 11

27 Unforced Errors 18

- Average Odds -

Sumit Nagal vs Petr Brunclik — Prediction