ATP tennis predict — Sumit Nagal vs Seong Chan Hong

ATP Hard Asian Games · 2. round

Predicted probability

Sumit Nagal

India

39.91%

Seong Chan Hong

South Korea

60.09%

Average Odds

- / -

Market probability

- / -

Why This Prediction?

Seong Chan Hong is the favorite because he has a higher Elo rating on hard courts (1686 vs 1602), a higher Elo rating (1714 vs 1699) and a stronger return game (42.0% vs 38.1% of return points won).

Player Comparison

1698.9 Elo 1713.5

1601.8 Elo (surface) 1686.3

48 Wins 15

23 Wins (surface) 14

5 Last 15 form 8

0 Head-to-head wins 1

0.889 Dominance ratio 0.957

249 Rank 1078

29.1 Age 29.2

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.

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.

Seong Chan Hong

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

Favorite (odds 1.30-1.80) 0W–0L · 0.0%

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

Underdog (odds 2.20-4.00) 1W–1L · 50.0%

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

4 matches with market odds since 2026-08-11.

Serve & Return

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

Sumit Nagal Seong Chan Hong

1st Serve In %

67.2%

59.3%

1st Serve Points Won %

61.8%

64.2%

2nd Serve Points Won %

46.8%

54.5%

Return Points Won vs 1st Serve %

28.0%

30.5%

Return Points Won vs 2nd Serve %

38.6%

47.8%

Aces per Service Game

0.17

0.36

Double Faults per Service Game

0.22

0.29

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

1st Serve In %

65.1%

56.7%

1st Serve Points Won %

63.6%

67.4%

2nd Serve Points Won %

44.7%

52.1%

Return Points Won vs 1st Serve %

35.9%

33.3%

Return Points Won vs 2nd Serve %

42.8%

52.8%

Aces per Service Game

0.24

0.50

Double Faults per Service Game

0.28

0.29

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 Seong Chan Hong

Break Points Saved %

52.3%

63.4%

Break Points Converted %

18.2%

31.4%

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

Break Points Saved %

58.1%

63.6%

Break Points Converted %

34.4%

41.6%

Based on each player's last 10 Challenger matches.

Head-to-Head

Sumit Nagal 0 – 1 Seong Chan Hong

Hard Indian Wells Masters · 2024-03-04

Q2

Seong Chan Hong #227

Sumit Nagal #101

2-6 6-2 7-6(4)

8 Aces 4

2 Double Faults 3

92 Service Points 85

54 First Serve In 65

38 First Serve Won 48

20 Second Serve Won 7

6 Break Points Saved 4

9 Break Points Faced 7

- Winners -

- Unforced Errors -

- Average Odds -

Sumit Nagal vs Seong Chan Hong — Prediction