THPRD-Shull

2026 Adult 40 & Over · 4.0 Men

10 players · average NTRP 3.9 · USTA/PACIFIC NW / NORTHERN OREGON

Scouting

Roster averages 3.61 estimated across 10 rated players. No lineup is published in advance, so the column below is where each player has actually been used — a captain's habits are the best available forecast. Sign in and claim your record to see who you have played.

3.79

Tony Wang

usually #1 Singles 67%, also #3 Doubles 33% · published 4

3.75

Damon Ogden

usually #1 Doubles 40%, also #3 Doubles 40% · published 4

3.73

Justin Shull

usually #3 Doubles 43%, also #2 Doubles 29% · published 4

3.70

Van Khieu

usually #1 Singles 60%, also #3 Doubles 20% · published 4

3.70

Zach Butler

usually #2 Doubles 40%, also #3 Doubles 40% · published 4

3.56

James Horen

usually #1 Doubles 50%, also #2 Doubles 25% · published 4

3.54

PHAT Lee

usually #3 Doubles 50%, also #1 Doubles 50% · published 4

3.46

Neil Soiffer

usually #1 Doubles 50%, also #3 Doubles 33% · published 4

3.43

Trong Tong

usually #1 Doubles 50%, also #2 Doubles 20% · published 3.5

3.41

Suresh Chand

usually #2 Doubles 43%, also #1 Doubles 29% · published 3.5

Roster

Ordered by our estimated dynamic rating, which is why two players at the same published level are not tied — a published 4.0 says nothing about where inside the band someone sits.

Tony Wang

14W–14L career

6%87%8%

3.79

Damon Ogden

86W–83L career

1%99%0%

3.75

Justin Shull

133W–38L career

1%99%0%

3.73

Van Khieu

99W–48L career

1%99%0%

3.70

Zach Butler

9W–9L career

5%94%0%

3.70

James Horen

99W–69L career

16%84%0%

3.56

PHAT Lee

44W–33L career

29%71%0%

3.54

Neil Soiffer

96W–138L career

44%56%0%

3.46

3.5

Trong Tong

27W–17L career

0%91%9%

3.43

3.5

Suresh Chand

79W–32L career

0%94%6%

3.41

Three percentages are the year-end projection — chance of moving down, staying, moving up — and the number on the right is our estimated dynamic rating, which USTA never publishes. Percentages are blank where a player has too few matches this season, or at a level where the model does not yet beat a base-rate guess; the estimate is a weaker claim than a probability and survives where those do not.