Teams

KPhilbrick

2022 One Doubles-Winter · 4.0 Women

1 players · average NTRP 4 · USTA/PACIFIC NW / SOUTHWEST WASHINGTON

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Scouting

Roster averages 3.61 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.

3.61
Krista Philbrick
usually #1 Doubles 100% · published 4
Results7 ties
2022-03-15Lost 01
L#1 DoublesKrista Philbrick / Tamara Rosenbloom vs Mika Russell / Naomi Kaneko6-3, 6-2
2022-03-13Lost 01
L#1 DoublesKrista Philbrick / Tamara Rosenbloom vs Esther Kim / Megan Miller6-1, 6-3
2022-03-11Won 10
W#1 DoublesKrista Philbrick / Tamara Rosenbloom vs Dana Johnston / Anneke Berry7-5, 6-0
2022-03-01Lost 01
L#1 DoublesKrista Philbrick / Tamara Rosenbloom vs Lisa Kim / Misa Banks6-1, 6-2
2022-02-23Won 10
W#1 DoublesKrista Philbrick / Tamara Rosenbloom vs Amanda Searle / Lindsey Snow7-6, 6-3
2022-02-16Lost 01
L#1 DoublesTamara Rosenbloom / Krista Philbrick vs Heather Swann / Sara Simonson6-2, 6-4
2022-02-15Lost 01
L#1 DoublesKrista Philbrick / Tamara Rosenbloom vs Jennifer Smith / Tracey Hoy7-6, 3-6, 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.

4
Krista Philbrick
144W–86L career
9%91%0%
3.61

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.