ATP tennis predict — Eduardo Ribeiro vs Sumit Nagal

Challenger Clay Prague 2 challenger · 1. round 13:40

Predicted probability

Eduardo Ribeiro

Brazil

25.20%

Sumit Nagal

India

74.80%

Average Odds

3.36 / 1.29

Market probability

27.74% / 72.26%

Why This Prediction?

Sumit Nagal is the favorite because he has a higher Elo rating (1689 vs 1531), a higher Elo rating on clay courts (1686 vs 1550) and more wins on clay courts (171 vs 48).

Player Comparison

1531.3 Elo 1689.3

1549.8 Elo (surface) 1685.8

51 Wins (Challenger) 221

48 Wins (surface) 171

7 Last 15 form 10

0 Head-to-head wins 0

0.737 Dominance ratio 0.983

378 Rank 239

28.4 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.

Eduardo Ribeiro

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

Favorite (odds 1.30-1.80) 2W–2L · 50.0%

Even match (odds 1.80-2.20) 0W–1L · 0.0%

Underdog (odds 2.20-4.00) 0W–4L · 0.0%

Heavy underdog (odds above 4.00) 2W–0L · 100.0%

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

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.

Eduardo Ribeiro Sumit Nagal

1st Serve In %

66.7%

67.2%

1st Serve Points Won %

61.2%

61.8%

2nd Serve Points Won %

42.5%

46.8%

Return Points Won vs 1st Serve %

33.8%

28.0%

Return Points Won vs 2nd Serve %

48.7%

38.6%

Aces per Service Game

0.21

0.17

Double Faults per Service Game

0.06

0.22

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

1st Serve In %

68.5%

65.1%

1st Serve Points Won %

66.3%

63.6%

2nd Serve Points Won %

54.1%

44.7%

Return Points Won vs 1st Serve %

35.6%

35.9%

Return Points Won vs 2nd Serve %

42.5%

42.8%

Aces per Service Game

0.21

0.24

Double Faults per Service Game

0.19

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.

Eduardo Ribeiro Sumit Nagal

Break Points Saved %

68.4%

52.3%

Break Points Converted %

39.1%

18.2%

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

Break Points Saved %

52.6%

58.1%

Break Points Converted %

39.7%

34.4%

Based on each player's last 10 Challenger matches.

Head-to-Head

Eduardo Ribeiro 0 – 0 Sumit Nagal

Clay Prague 2 challenger · 2026-08-17

1. round

Sumit Nagal #239

Eduardo Ribeiro #378

7-6 6-4

1 Aces 1

1 Double Faults 0

70 Service Points 76

48 First Serve In 57

30 First Serve Won 36

12 Second Serve Won 12

5 Break Points Saved 4

8 Break Points Faced 6

- Winners -

- Unforced Errors -

1.3 Average Odds 3.4

Eduardo Ribeiro vs Sumit Nagal — Prediction