Teams

THPRD-Liang/Chen

2024 Mixed 40 & Over · 8.0 Mixed

9 players · average NTRP 4.11 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.80 estimated across 6 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.

Benjamin Yang
usually #1 Doubles 50%, also #2 Doubles 50% · published 4.5
4.21
Juan Li
usually #3 Doubles 57%, also #1 Doubles 29% · published 4.5
3.84
Shannon Chen
usually #1 Doubles 67%, also #3 Doubles 17% · published 4
3.79
Tony Wang
usually #2 Doubles 100% · published 4
3.79
Honghui Liang
usually #1 Doubles 43%, also #2 Doubles 43% · published 4.5
Kaelin Teo
usually #2 Doubles 67%, also #1 Doubles 33% · published 4
Quanwang Wei
usually #2 Doubles 40%, also #1 Doubles 40% · published 4
3.63
Zhitong Chen
usually #2 Doubles 60%, also #3 Doubles 20% · published 4
3.53
Matt Zhou
usually #3 Doubles 33%, also #1 Doubles 33% · published 3.5
Results8 ties
2024-03-02Split 11
W#1 DoublesJuan Li / Kai Zhang vs Jerilyn Hanson / Jason Ruhmann6-2, 6-4
L#2 DoublesHonghui Liang / Matt Zhou vs Rudd McGarity / Gina Ossanna1-6, 6-3, 1-0
2024-03-01Won 30
W#1 DoublesBenjamin Yang / Shannon Chen vs Aleli Siruno / Eric Means4-6, 6-3, 1-0
W#2 DoublesTony Wang / Hong Huynh vs Molly Odonnell / David Sefton3-6, 6-1, 1-0
W#3 DoublesKai Zhang / Honghui Liang vs N/A6-0, 6-0
2024-02-25Split 11
L#1 DoublesQuanwang Wei / Kaelin Teo vs Teresa Sullivan / Nick Hooker7-5, 7-6
W#3 DoublesJohn Liao / Juan Li vs Brad Johnson / Mary Bullard6-3, 6-2
2024-02-16Won 30
W#1 DoublesBenjamin Yang / Helen Chen vs Sekona Taufa / Tina Clancy6-4, 3-6, 1-0
W#2 DoublesZhitong Chen / Hong Huynh vs Daniel Lamey / Molly Shum6-1, 6-3
W#3 DoublesKai Zhang / Juan Li vs Stephen Crook / Minou Chau4-6, 6-2, 1-0
2024-02-02Lost 12
L#1 DoublesMatt Zhou / Honghui Liang vs Gregg Palmer / Sandi Bittler6-7, 6-1, 1-0
L#2 DoublesXiaonan Tian / Kaelin Teo vs Carrie Fisher / Ken Avenoso6-1, 2-6, 1-0
W#3 DoublesJohn Liao / Shannon Chen vs Ren Toshié Miura / Mark Shih6-2, 6-1
2024-01-28Lost 12
L#1 DoublesQuanwang Wei / Helen Chen vs Steve Fogg / Michele O'Brien2-6, 6-2, 1-0
L#2 DoublesJohn Liao / Honghui Liang vs Jeroen Swanborn / Sara Swanborn6-4, 7-6
W#3 DoublesMatt Zhou / Juan Li vs Matthew Trank / Nancy Korenek-Leveque6-1, 6-1
2024-01-20Lost 12
L#1 DoublesKai Zhang / Honghui Liang vs Brandon Shell / Tracey Riddle7-6, 6-3
L#2 DoublesTony Wang / Kaelin Teo vs Nick Hooker / Trina Newcomb7-5, 6-4
W#3 DoublesZhitong Chen / Hong Huynh vs Christian Paulsen / Amy Bucher6-3, 6-3
2024-01-07Won 21
W#1 DoublesShannon Chen / Benjamin Yang vs Chizuru Watanabe / Nate Look6-3, 6-2
W#2 DoublesJohn Liao / Juan Li vs Kyoko Adcock / Masanori Hibino6-3, 4-6, 1-0
L#3 DoublesQuanwang Wei / Helen Chen vs Kerstin Anderson / Bryan Shieh6-4, 6-1
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.
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.

4.5
Benjamin Yang
67W–54L career
not enough data
4.5
Juan Li
117W–72L career
1%98%1%
4.21
4
Shannon Chen
67W–32L career
0%98%2%
3.84
4
Tony Wang
14W–14L career
6%87%8%
3.79
4.5
Honghui Liang
61W–84L career
70%30%0%
3.79
4
Kaelin Teo
55W–38L career
not enough data
4
Quanwang Wei
31W–22L career
not enough data
4
Zhitong Chen
76W–42L career
12%88%0%
3.63
3.5
Matt Zhou
63W–65L career
0%73%27%
3.53

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.