Teams

CP-EagleFang-Meyles

2025 Adult 18 & Over · 3.0 Men

3 players · average NTRP 3.17 · USTA/PACIFIC NW / NORTHWEST WASHINGTON

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Scouting

Roster averages 3.08 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.

3.20
Jason Liang
usually #2 Doubles 35%, also #3 Doubles 35% · published 3.5
3.08
Daniel Warren
usually #3 Doubles 33%, also #2 Doubles 33% · published 3
2.98
Eric Baird
usually #3 Doubles 43%, also #1 Doubles 29% · published 3
Results4 ties
2025-05-18Won 10
W#1 DoublesMarshall Winget / Daniel Warren vs Jay Brennan / Mark Puckett6-2, 6-1
2025-05-03Split 11
W#2 DoublesMarshall Winget / Daniel Warren vs Stephen Wang / Steve Stetter6-1, 6-4
L#3 DoublesAlex Ma / Jason Liang vs Ryan McLaughlin / Hugo Aponte7-5, 6-3
2025-04-13Won 20
W#1 DoublesJason Liang / Stephen Meyles vs Shuai Lu / Alvin Han6-0, 6-2
W#2 DoublesDan Feng / Eric Baird vs Yunlan Li / Yaxin Ye6-0, 6-0
2025-04-06Won 10
W#1 DoublesJason Liang / Eric Baird vs Joon Yang / Daniel Du6-3, 4-6, 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
Jason Liang
90W–72L career · type A
2%98%0%
3.20
3
Daniel Warren
79W–79L career
0%61%39%
3.08
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.