Teams

THPRD-Zhang/Fang

2024 Mixed 18 & Over · 6.0 Mixed

11 players · average NTRP 3.18 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.04 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.

3.46
Miki Han
usually #1 Doubles 50%, also #2 Doubles 30% · published 3.5
3.27
Nicole Norby
usually #1 Doubles 100% · published 3
3.19
Qiantong Fang
usually #2 Doubles 75%, also #1 Doubles 25% · published 3.5
3.15
Patty Chen
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
3.14
Jane Shu
usually #2 Doubles 33%, also #1 Doubles 33% · published 3.5
2.98
Janice Kuo
usually #1 Doubles 67%, also #2 Doubles 33% · published 3
2.85
Erin Canova
usually #1 Doubles 33%, also #3 Doubles 33% · published 3
2.80
Daniel Chippa
usually #1 Doubles 67%, also #2 Doubles 33% · published 3
2.80
Tom Hsu
usually #3 Doubles 67%, also #2 Doubles 33% · published 3
AJ Teav
usually #2 Doubles 67%, also #3 Doubles 33% · published 3
2.72
Shuping Li
usually #2 Doubles 67%, also #3 Doubles 33% · published 3
Results8 ties
2023-12-01Split 11
L#1 DoublesQiantong Fang / Janice Kuo vs Joseph Siri / Alma Siri4-6, 7-5, 1-0
W#3 DoublesRaghavan Kumar / Jane Shu vs Jeff Woller / Milla Woller6-4, 7-6
2023-11-10Split 11
W#1 DoublesJialiang Zhang / Jane Shu vs Mubashir Cheema / Anne Larson6-3, 6-3
L#2 DoublesQiantong Fang / Shuping Li vs Lara Greenberg / Steven Harrison6-2, 6-0
2023-10-29Won 30
W#1 DoublesJanice Kuo / Daniel Chippa vs Brooke Henderson / David Ruark6-2, 6-4
W#2 DoublesErin Canova / AJ Teav vs Diane Nelson / Ron Starkey6-4, 6-4
W#3 DoublesMiki Han / Tom Hsu vs Tiffany Starkey / Stephen Blum6-4, 6-1
2023-10-21Lost 12
W#1 DoublesJialiang Zhang / Miki Han vs Bill Barnes / Kim Wallace6-2, 6-1
L#2 DoublesPatty Chen / Tom Hsu vs Siddharth Dugar / Sarah Felker2-6, 6-2, 1-0
L#3 DoublesErin Canova / Raghavan Kumar vs Dana Alley / Erik Sterpa2-6, 6-2, 1-0
2023-10-13Won 20
W#1 DoublesJialiang Zhang / Nicole Norby vs Ian Schnadig / Jean Schnadig6-1, 1-6, 1-0
W#2 DoublesQiantong Fang / Janice Kuo vs Audrey Crespo / Santiago Crespo6-1, 6-4
2023-10-07Won 21
W#1 DoublesJialiang Zhang / Nicole Norby vs Kealani Mead-Forton / Mark Hopkins6-2, 6-2
W#2 DoublesDaniel Chippa / Jane Shu vs Erik Bucher / Karin Owens6-2, 3-6, 1-0
L#3 DoublesShuping Li / AJ Teav vs Elena Kochetkova / Daniel Lei6-2, 6-3
2023-09-16Lost 12
L#1 DoublesDaniel Chippa / Erin Canova vs Jocelyn Smith / Matt Savage6-1, 6-3
L#2 DoublesAJ Teav / Shuping Li vs Abhisar Gupta / Amy Pickens6-3, 6-2
W#3 DoublesRaghavan Kumar / Miki Han vs Shad Pharaon / Amelia Ryan6-4, 5-7, 1-0
2023-09-10Won 20
W#2 DoublesQiantong Fang / Miki Han vs Sarie Crothers / Mark Alan5-7, 6-4, 1-0
W#3 DoublesTom Hsu / Patty Chen vs Heather Matteri / Jason Bolt6-4, 5-7, 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.

3.5
Miki Han
56W–22L career
0%90%10%
3.46
3
Nicole Norby
85W–50L career
0%9%91%
3.27
3.5
Qiantong Fang
43W–17L career
3%97%0%
3.19
3.5
Patty Chen
59W–56L career
6%94%0%
3.15
3.5
Jane Shu
79W–33L career
6%94%0%
3.14
3
Janice Kuo
59W–28L career
0%84%16%
2.98
3
Erin Canova
60W–45L career
0%97%3%
2.85
3
Daniel Chippa
18W–12L career
5%87%8%
2.80
3
Tom Hsu
28W–30L career
0%99%1%
2.80
3
AJ Teav
6W–5L career
not enough data
3
Shuping Li
86W–70L career
1%99%0%
2.72

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.