Teams

CP-BarelyMadeIt-Parastatidis

2022 Adult 18 & Over · 3.0 Men

2 players · average NTRP 3.25 · USTA/PACIFIC NW / NORTHWEST WASHINGTON

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Scouting

Roster averages 3.09 estimated across 2 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.

3.20
Jason Liang
usually #3 Doubles 80%, also #2 Doubles 20% · published 3.5
2.98
Eric Baird
usually #1 Doubles 80%, also #3 Doubles 20% · published 3
Results6 ties
2022-06-04Lost 01
L#3 DoublesChris Becker / Jason Liang vs Vikas Pabreja / Raman Kumar6-4, 6-1
2022-05-14Won 10
W#3 DoublesMark Enstrom / Jason Liang vs John Spaulding / Rick Almquist1-6, 6-4, 1-0
2022-04-30Won 10
W#2 DoublesJason Liang / Steve Fields vs Huai-Ping Lee / CJ Voss6-2, 6-3
2022-04-23Lost 01
L#3 DoublesSteve Fields / Jason Liang vs John Stocks / Fernando Martinez6-3, 6-2
2022-04-16Won 10
W#3 DoublesJason Liang / Yonggang Deng vs Marcus Ward / Tony Tzeng6-2, 5-7, 1-0
2022-04-10Won 10
W#1 DoublesEric Baird / Kaushik Purohit vs Cody Jagodinski / Nick Colonnese6-2, 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.

3.5
Jason Liang
90W–72L career · type A
2%98%0%
3.20
3
Eric Baird
72W–53L career · type A
0%85%15%
2.98

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.