Teams

THPRD-Feng

2026 Mixed 40 & Over · 7.0 Mixed

12 players · average NTRP 3.54 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.29 estimated across 12 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.

3.82
Michael Jung
usually #1 Doubles 50%, also #2 Doubles 33% · published 4
3.75
Karen Dellinger
usually #1 Doubles 50%, also #2 Doubles 50% · published 4
3.70
Van Khieu
usually #2 Doubles 64%, also #1 Doubles 18% · published 4
3.53
Roksolana Shyyka
usually #2 Doubles 100% · published 3.5
3.44
Joe Entler
usually #1 Doubles 50%, also #3 Doubles 50% · published 3.5
3.26
Cheryl Roloff
usually #1 Doubles 67%, also #3 Doubles 33% · published 3.5
3.25
Jing Feng
usually #3 Doubles 78%, also #2 Doubles 22% · published 3.5
3.17
Haihua Su
usually #3 Doubles 60%, also #1 Doubles 20% · published 3.5
3.16
Matt Curtis
usually #3 Doubles 75%, also #1 Doubles 25% · published 3.5
3.15
Scott Keeney
usually #2 Doubles 50%, also #3 Doubles 50% · published 3.5
2.61
Susie Lim
usually #1 Doubles 50%, also #3 Doubles 25% · published 3
2.60
Thu Johnson
usually #1 Doubles 67%, also #2 Doubles 33% · published 3
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.

4
Michael Jung
66W–37L career
0%99%1%
3.82
4
Karen Dellinger
141W–68L career
1%99%0%
3.75
4
Van Khieu
99W–48L career
1%99%0%
3.70
3.5
Roksolana Shyyka
34W–21L career
0%73%27%
3.53
3.5
Joe Entler
28W–42L career
0%89%11%
3.44
3.5
Cheryl Roloff
42W–107L career
1%99%0%
3.26
3.5
Jing Feng
113W–80L career
1%99%0%
3.25
3.5
Haihua Su
86W–63L career
3%97%0%
3.17
3.5
Matt Curtis
45W–35L career
5%95%0%
3.16
3.5
Scott Keeney
26W–42L career
7%93%0%
3.15
3
Susie Lim
7W–13L career · type S
10%90%0%
2.61
3
Thu Johnson
45W–25L career
14%86%0%
2.60

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.