Teams

Shih

2023 One Doubles · 4.0 Men

2 players · average NTRP 3.75 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.63 estimated across 1 rated player. 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.

3.63
Zhitong Chen
usually #1 Doubles 100% · published 4
Mark Shih
usually #1 Doubles 100% · published 3.5
Results8 ties
2023-08-01Lost 01
L#1 DoublesMark Shih / Xiaonan Tian vs Matt Deems / Mike Zielinski6-2, 6-7, 1-0
2023-07-28Lost 01
L#1 DoublesMark Shih / Xiaonan Tian vs John Barbieri / David Nguyen7-5, 6-4
2023-07-27Won 10
W#1 DoublesZhitong Chen / Xiaonan Tian vs Ken Avenoso / Patrick Brewer5-7, 6-3, 1-0
2023-07-23Won 10
W#1 DoublesZhitong Chen / Xiaonan Tian vs Marc DeSantis / Jason Ruhmann2-6, 6-2, 1-0
2023-07-22Lost 01
L#1 DoublesZhitong Chen / Xiaonan Tian vs Damon Ogden / Tom Lux6-3, 6-4
2023-07-21Lost 01
L#1 DoublesXiaonan Tian / Mark Shih vs Kevin Jarvis / Shaun Anderson6-1, 6-0
2023-07-01Lost 01
L#1 DoublesZhitong Chen / Mark Shih vs Tom Lux / Bart Borosky6-0, 6-0
2023-06-25Lost 01
L#1 DoublesMark Shih / Zhitong Chen vs Ken Avenoso / Gregg Palmer6-4, 6-2
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
Zhitong Chen
76W–42L career
12%88%0%
3.63
3.5
Mark Shih
28W–33L career
not enough data

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.