ATP tennis predict — Tristan Schoolkate vs Seong Chan Hong

Grand Slam Hard US Open · qualification - 2. round 23:00

Predicted probability

Tristan Schoolkate

Australia

53.85%

Seong Chan Hong

South Korea

46.15%

Average Odds

1.61 / 1.98

Market probability

55.15% / 44.85%

Why This Prediction?

This is a very close match — there is no significant statistical edge for either player.

Player Comparison

1595.3 Elo 1521.4

1584.4 Elo (surface) 1546.1

30 Wins 14

24 Wins (surface) 13

6 Last 15 form 7

0 Head-to-head wins 2

0.854 Dominance ratio 0.979

180 Rank -

25.5 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.

Tristan Schoolkate

Heavy favorite (odds below 1.30) 4W–1L · 80.0%

Favorite (odds 1.30-1.80) 6W–4L · 60.0%

Even match (odds 1.80-2.20) 1W–3L · 25.0%

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

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

23 matches with market odds since 2026-06-02.

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.

Tristan Schoolkate Seong Chan Hong

1st Serve In %

60.2%

59.3%

1st Serve Points Won %

71.7%

64.2%

2nd Serve Points Won %

54.8%

54.5%

Return Points Won vs 1st Serve %

23.9%

30.5%

Return Points Won vs 2nd Serve %

48.3%

47.8%

Aces per Service Game

0.60

0.36

Double Faults per Service Game

0.33

0.29

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

1st Serve In %

59.0%

56.7%

1st Serve Points Won %

70.3%

67.4%

2nd Serve Points Won %

50.6%

52.1%

Return Points Won vs 1st Serve %

27.6%

33.3%

Return Points Won vs 2nd Serve %

43.2%

52.8%

Aces per Service Game

0.45

0.50

Double Faults per Service Game

0.17

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.

Tristan Schoolkate Seong Chan Hong

Break Points Saved %

54.9%

63.4%

Break Points Converted %

31.2%

31.4%

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

Break Points Saved %

64.6%

63.6%

Break Points Converted %

31.2%

41.6%

Based on each player's last 10 Challenger matches.

Head-to-Head

Tristan Schoolkate 0 – 2 Seong Chan Hong

Hard US Open · 2026-08-27

qualification - 2. round

Tristan Schoolkate #180

Seong Chan Hong #-

6-4 7-6

5 Aces 1

2 Double Faults 4

86 Service Points 83

48 First Serve In 45

32 First Serve Won 24

22 Second Serve Won 22

8 Break Points Saved 8

10 Break Points Faced 11

28 Winners 17

38 Unforced Errors 35

1.6 Average Odds 2.0

Hard Bengaluru CH · 2024-02-12

R32

Seong Chan Hong #221

Tristan Schoolkate #243

6-4 6-3

1 Aces 6

2 Double Faults 6

58 Service Points 57

33 First Serve In 26

28 First Serve Won 20

13 Second Serve Won 14

6 Break Points Saved 3

6 Break Points Faced 6

- Winners -

- Unforced Errors -

- Average Odds -

Hard Nonthaburi 1 CH · 2022-08-22

Q2

Seong Chan Hong #482

Tristan Schoolkate #409

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

10 Aces 10

3 Double Faults 1

98 Service Points 91

72 First Serve In 55

52 First Serve Won 39

17 Second Serve Won 24

3 Break Points Saved 0

5 Break Points Faced 2