Teams

THPRD-Feng

2023 Mixed 40 & Over · 7.0 Mixed

9 players · average NTRP 3.61 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.26 estimated across 7 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.

3.77
TRIET NGUYEN
usually #2 Doubles 67%, also #1 Doubles 33% · published 4
Tak Hirano
usually #1 Doubles 50%, also #2 Doubles 50% · published 4
3.50
Frank Shen
usually #1 Doubles 60%, also #2 Doubles 40% · published 4
3.28
Erin Casey
usually #2 Doubles 80%, also #1 Doubles 20% · published 3.5
Alan Liang
usually #3 Doubles 50%, also #2 Doubles 38% · published 3.5
3.25
Jing Feng
usually #3 Doubles 86%, also #2 Doubles 14% · published 3.5
3.21
Manoj Pandya
usually #3 Doubles 43%, also #1 Doubles 29% · published 3.5
3.17
Zachary Wright
usually #3 Doubles 50%, also #1 Doubles 50% · published 3.5
2.64
Thu Johnson
usually #1 Doubles 57%, also #2 Doubles 43% · published 3
Results8 ties
2023-03-11Won 21
L#1 DoublesManoj Pandya / Erin Casey vs Patrick Clancy / Kasia Boslaugh6-3, 6-3
W#2 DoublesTRIET NGUYEN / Thu Johnson vs Ramon Tuason / Christina Bergstrom6-1, 6-3
W#3 DoublesAlan Liang / Jing Feng vs Stephen Crook / Jennifer Bane6-0, 6-1
2023-02-12Lost 12
L#1 DoublesFrank Shen / Thu Johnson vs Bin He / Suresh Chand3-6, 6-4, 1-0
W#2 DoublesWenyan Li / Erin Casey vs Ruifeng Cui / Rie Sasakawa7-6, 6-7, 1-0
L#3 DoublesJing Feng / Alan Liang vs Andalib Khan / Anita Rockwell3-6, 7-6, 1-0
2023-02-05Won 30
W#1 DoublesFrank Shen / Thu Johnson vs Stephen Marsh / Mary Marsh6-3, 6-2
W#2 DoublesWenyan Li / Erin Casey vs Matt Curtis / Kristie Leake4-6, 6-3, 1-0
W#3 DoublesAlan Liang / Jing Feng vs Teresa Sullivan / Tim Fernstrom6-3, 2-6, 1-0
2023-02-04Won 30
W#1 DoublesFrank Shen / Thu Johnson vs Patrick Clancy / Lynne Nieda6-2, 2-6, 1-0
W#2 DoublesAlan Liang / Jing Feng vs Stephen Crook / Jennifer Bane6-1, 6-4
W#3 DoublesZachary Wright / Kim Wright vs Pete Kovalenko / Christina Bergstrom6-4, 6-4
2023-01-27Won 21
W#1 DoublesTRIET NGUYEN / Thu Johnson vs John van Leeuwen / Chris van Leeuwen7-5, 6-3
W#2 DoublesTak Hirano / Erin Casey vs Albert Hensley / Andrea Hobi6-4, 6-2
L#3 DoublesManoj Pandya / Heather Lee vs Roger Dehoog / Lucila Griesser6-2, 0-6, 1-0
2023-01-20Won 21
L#1 DoublesManoj Pandya / Heather Lee vs Seth Yount / Lupine Swanson6-3, 6-4
W#2 DoublesAlan Liang / Erin Casey vs Zack Hegge / Laurence Dupray7-5, 6-1
W#3 DoublesZachary Wright / Kim Wright vs Steve Douglas / Susan Douglas6-0, 6-1
2023-01-15Won 20
W#1 DoublesZachary Wright / Kim Wright vs Justin Levinsohn / Nina Bakos6-4, 6-2
W#2 DoublesFrank Shen / Thu Johnson vs Gregg Hardy / Annette Hill6-1, 6-2
2023-01-08Lost 03
L#1 DoublesTak Hirano / Heather Lee vs Christian Paulsen / Mary Green-Zwemke6-1, 6-4
L#2 DoublesTRIET NGUYEN / Thu Johnson vs Brad Johnson / Wendi Ouellette7-6, 6-4
L#3 DoublesZachary Wright / Kim Wright vs Ryan Owens / Trina Newcomb6-4, 6-7, 1-0
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
TRIET NGUYEN
89W–37L career
0%99%0%
3.77
4
Tak Hirano
9W–16L career
not enough data
4
Frank Shen
38W–69L career
31%69%0%
3.50
3.5
Erin Casey
142W–91L career
0%99%1%
3.28
3.5
Alan Liang
28W–11L career
not enough data
3.5
Jing Feng
113W–80L career
1%99%0%
3.25
3.5
Manoj Pandya
121W–62L career
2%98%0%
3.21
3.5
Zachary Wright
177W–142L career
3%97%0%
3.17
3
Thu Johnson
45W–25L career
9%91%0%
2.64

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.