Teams

Stromquist/Belden

2022 One Doubles · 3.5 Women

1 players · average NTRP 4 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.75 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.

3.75
Angie Stromquist
usually #1 Doubles 100% · published 4
Results7 ties
2022-08-08Won 10
W#1 DoublesAngie Stromquist / Cate Harrington vs Erin Casey / Colleen Nolan4-6, 6-2, 1-0
2022-08-06Won 10
W#1 DoublesAngie Stromquist / Cate Harrington vs Rebecca Griffith / Rochelle Pluymers6-4, 6-1
2022-08-04Lost 01
L#1 DoublesCate Harrington / Angie Stromquist vs Casey Billings / Gabriela McIntosh2-6, 6-4, 1-0
2022-07-23Won 10
W#1 DoublesAngie Stromquist / Cate Harrington vs Cheryl Geisler / Vicki Blunt6-1, 6-2
2022-07-15Lost 01
L#1 DoublesAngie Stromquist / Cate Harrington vs Rebecca Griffith / Rochelle Pluymers4-6, 6-3, 1-0
2022-07-05Won 10
W#1 DoublesKalynn Belden / Angie Stromquist vs Parish Burns / Kimberly Parks6-4, 2-6, 1-0
2022-07-01Won 10
W#1 DoublesCate Harrington / Angie Stromquist vs Sara Swanborn / Eliza Oh6-4, 6-0
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.

4
Angie Stromquist
92W–47L career
1%98%0%
3.75

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.