← TeamsLeedy
2024 One Doubles · 3.5 Women
3 players · average NTRP 3.33 · USTA/PACIFIC NW / NORTHERN OREGON
Scouting
Roster averages 3.06 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.
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Cara Liuusually #1 Doubles 100% · published 3
Results8 ties
2024-08-06Won 1–0
W#1 DoublesCatherine Leedy / Lindsay Livanos vs Desiree Bliss / Dory Simons6-4, 6-4
2024-08-01Lost 0–1
L#1 DoublesCatherine Leedy / Kim Wright vs Kiersten Lake / Robin Welter6-2, 6-0
2024-07-28Lost 0–1
L#1 DoublesAlison Davis / Catherine Leedy vs Andrea Hobi / Kiersten Lake6-3, 7-6
2024-07-27Lost 0–1
L#1 DoublesCara Liu / Kim Wright vs Anh Nguyen / Wendi Ouellette6-1, 6-3
2024-07-23Won 1–0
W#1 DoublesCatherine Leedy / Kim Wright vs Kourtnie Katayama / Melissa Smith6-7, 2-1
2024-07-16Won 1–0
W#1 DoublesAlison Davis / Lindsay Livanos vs Paula Morgan / Tara Morissette6-0, 6-1
2024-07-13Lost 0–1
L#1 DoublesCatherine Leedy / Alison Davis vs Jennifer Potter / Dayna Jahnke-Corwin6-2, 6-3
2024-07-11Lost 0–1
L#1 DoublesLindsay Livanos / Cara Liu vs Abbie Hover / Carolyn Graeper6-0, 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.
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.