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2024 One Doubles · 3.5 Women
4 players · average NTRP 3.75 · USTA/PACIFIC NW / NORTHERN OREGON
Scouting
Roster averages 3.49 estimated across 4 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.
3.47
Ann Arpusually #1 Doubles 100% · published 3.5
Results8 ties
2024-08-08Lost 0–1
L#1 DoublesAnn Arp / Gabriela McIntosh vs Ramya Gotety / Lisa Hockman7-6, 6-3
2024-08-07Lost 0–1
L#1 DoublesNina Hanson / Gabriela McIntosh vs Judi Babcock / Edwardeen Hilts6-1, 6-2
2024-08-04Won 1–0
W#1 DoublesKimberly Parks / Nina Hanson vs Dolores Corley / Barbara Gram6-1, 6-0
2024-08-03Won 1–0
W#1 DoublesKimberly Parks / Nina Hanson vs Stephanie Haas / Jordan Brown6-2, 6-2
2024-07-13Won 1–0
W#1 DoublesAnn Arp / Gabriela McIntosh vs Sara Crate / Rebecca van Sickle6-2, 6-4
2024-07-13Won 1–0
W#1 DoublesAnn Arp / Nina Hanson vs Barbara Gram / Andrea Lamprecht6-0, 6-1
2024-07-06Won 1–0
W#1 DoublesKimberly Parks / Nina Hanson vs Nichole Anglin / Zoe Larkins7-6, 5-7, 1-0
2024-07-02Won 1–0
W#1 DoublesKimberly Parks / Gabriela McIntosh vs Lorna Goth / Heidi Kjos7-6, 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.