Teams

Leedy

2021 One Doubles · 3.5 Women

3 players · average NTRP 3.83 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.41 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.

3.78
Kim Hasle
usually #1 Doubles 100% · published 4
Amy Convery
usually #1 Doubles 100% · published 4
3.04
Catherine Leedy
usually #1 Doubles 100% · published 3.5
Results5 ties
2021-08-12Lost 01
L#1 DoublesAmy Convery / Catherine Leedy vs Julie Bradford / Sandra Ellis1-6, 6-2, 1-0
2021-08-05Won 10
W#1 DoublesKim Hasle / Catherine Leedy vs Michelle Jordan / Susan Judge6-2, 6-2
2021-07-29Lost 01
L#1 DoublesCatherine Leedy / Kim Wright vs Timothea Barnatan / Jamie Heberlein6-4, 6-2
2021-07-22Won 10
W#1 DoublesAmy Convery / Kim Hasle vs Clarice Brown / Tammy Cofield6-3, 6-1
2021-07-02Lost 01
L#1 DoublesTerri Gotcher / Kim Hasle vs Kayleen Mendenhall / Hong Huynh6-1, 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
Kim Hasle
44W–28L career
5%91%5%
3.78
4
Amy Convery
20W–10L career
not enough data
3.5
Catherine Leedy
86W–119L career
23%77%0%
3.04

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.