ATP tennis predict — Jan Kumstat vs Sumit Nagal

Challenger Clay Prague 2 challenger · R16 11:30

Predicted probability

Jan Kumstat

Czech Republic

77.14%

Sumit Nagal

India

22.86%

Average Odds

1.47 / 2.56

Market probability

63.52% / 36.48%

Why This Prediction?

Jan Kumstat is the favorite because he has a higher Elo rating (1889 vs 1695), a higher Elo rating on clay courts (1920 vs 1693) and a stronger serve (67.1% vs 59.0% of service points won).

Player Comparison

1888.6 Elo 1695.3

1920.3 Elo (surface) 1693.4

26 Wins (Challenger) 222

21 Wins (surface) 172

14 Last 15 form 10

1 Head-to-head wins 0

1.100 Dominance ratio 0.949

347 Rank 239

19.6 Age 29.0

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.

Jan Kumstat

Heavy favorite (odds below 1.30) 3W–1L · 75.0%

Favorite (odds 1.30-1.80) 15W–1L · 93.8%

Even match (odds 1.80-2.20) 4W–1L · 80.0%

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

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

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

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.

Serve & Return

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

Jan Kumstat Sumit Nagal

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 %

56.9%

65.1%

1st Serve Points Won %

70.6%

63.6%

2nd Serve Points Won %

52.0%

44.7%

Return Points Won vs 1st Serve %

23.5%

35.9%

Return Points Won vs 2nd Serve %

44.9%

42.8%

Aces per Service Game

0.59

0.24

Double Faults per Service Game

0.37

0.28

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.

Jan Kumstat Sumit Nagal

Break Points Saved %

—

52.3%

Break Points Converted %

—

18.2%

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

Break Points Saved %

61.5%

58.1%

Break Points Converted %

28.3%

34.4%

Based on each player's last 10 Challenger matches.

Head-to-Head

Jan Kumstat 1 – 0 Sumit Nagal

Clay Prague 2 challenger · 2026-08-19

R16

Jan Kumstat #347

Sumit Nagal #239

7-5 6-3

6 Aces 1

4 Double Faults 3

71 Service Points 62

36 First Serve In 40

24 First Serve Won 23

20 Second Serve Won 9

7 Break Points Saved 6

9 Break Points Faced 11

- Winners -

- Unforced Errors -

1.5 Average Odds 2.6

Clay Liberec challenger · 2026-08-01

SF

Jan Kumstat #508

Sumit Nagal #246

7-5 6-4

9 Aces 6

3 Double Faults 1

67 Service Points 77

42 First Serve In 54

29 First Serve Won 33

17 Second Serve Won 12

1 Break Points Saved 5

2 Break Points Faced 8

- Winners -

- Unforced Errors -

1.8 Average Odds 2.0

Jan Kumstat vs Sumit Nagal — Prediction