Teams

Stoakley (Flexible)

2019 One Doubles · 4.0 Women

2 players · average NTRP 4.5 · USTA/PACIFIC NW / NORTHWEST WASHINGTON

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Scouting

Roster averages 3.94 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.

4.12
Gina la Porta
usually #1 Doubles 100% · published 4.5
3.76
Suzanne Eichenlaub
usually #1 Doubles 100% · published 4.5
Results6 ties
2019-07-15Won 10
W#1 DoublesLisa Hofferber / Gina la Porta vs Sabina Hilmar / Helen Omand6-4, 6-2
2019-07-08Lost 01
L#1 DoublesLisa Hofferber / Suzanne Eichenlaub vs Shannon Fosseen / Deven McCoy6-2, 6-1
2019-07-07Won 10
W#1 DoublesGina la Porta / Lisa Hofferber vs Kari Anderson / Caroline Johnson6-2, 7-5
2019-07-03Lost 01
L#1 DoublesLisa Hofferber / Gina la Porta vs Lyna Nguyen / Dieu Nguyen7-5, 6-4
2019-06-27Lost 01
L#1 DoublesCora Stoakley / Gina la Porta vs Anne McGee / Jennifer Jungmann6-7, 7-5, 1-0
2019-06-01Lost 01
L#1 DoublesCora Stoakley / Gina la Porta vs Anh Lao / Kaci Okumoto6-0, 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.

4.5
Gina la Porta
84W–80L career
4%95%0%
4.12
4.5
Suzanne Eichenlaub
125W–74L career
79%22%0%
3.76

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.