Teams

THPRD-Liu

2025 Coed 18-39 · 6.0 Coed Combo

3 players · average NTRP 3.5 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.34 estimated across 3 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.

3.48
Jingchu Huang
usually #1 Male Singles 100% · published 3.5
3.36
Tey Chai
usually #1 Female Singles 100% · published 3.5
3.19
Qiantong Fang
usually #1 Male Singles 56%, also #1 Male Doubles 33% · published 3.5
Results5 ties
2025-03-01Split 11
W#1 Female SinglesTey Chai vs Annette Morrison6-5
L#1 Male SinglesQiantong Fang vs J Will Morrison6-4
2025-02-23Won 10
W#1 Male SinglesQiantong Fang vs Brandon Campos6-2
2025-02-15Split 11
W#1 Female SinglesTey Chai vs Hayley Cottrell6-2
L#1 Male SinglesQiantong Fang vs Huy Pham6-4
2025-01-25Won 20
W#1 Male SinglesJingchu Huang vs Joshua Slate6-2
W#1 Mixed DoublesXin Shu / Qiantong Fang vs Austin Curran / Allison Stewart6-3
2025-01-12Split 11
W#1 Male DoublesFeng Liu / Qiantong Fang vs Dallas Kelle / Michael Olson6-4
L#1 Male SinglesJingchu Huang vs Dallas Kelle6-3
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
Jingchu Huang
24W–5L career
0%79%21%
3.48
3.5
Tey Chai
21W–7L career
0%97%3%
3.36
3.5
Qiantong Fang
43W–17L career
3%97%0%
3.19

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.