Teams

Dixit-Slice Girls!

2022 One Doubles · 3.0 Women

2 players · average NTRP 3.25 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 2.97 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.

2.97
Ann-Marie Lundberg
usually #1 Doubles 100% · published 3.5
Dipali Dixit
usually #1 Doubles 100% · published 3
Results7 ties
2022-08-01Won 10
W#1 DoublesJane King Ayers / Ann-Marie Lundberg vs Christine Bennett-Hanes / Jennifer Stevenson2-6, 7-6, 1-0
2022-07-22Lost 01
L#1 DoublesDipali Dixit / Ann-Marie Lundberg vs Mihee Park / Abbie Hover6-2, 6-3
2022-07-18Won 10
W#1 DoublesJane King Ayers / Ann-Marie Lundberg vs SHAWNA THOMPSON / Lillian Lee6-2, 6-0
2022-07-13Lost 01
L#1 DoublesDipali Dixit / Rachel Nies vs Deanna Phillips / Elizabeth Ayotte6-3, 1-6, 1-0
2022-07-10Won 10
W#1 DoublesDipali Dixit / Rachel Nies vs Lillian Lee / SHAWNA THOMPSON6-1, 6-3
2022-06-26Won 10
W#1 DoublesDipali Dixit / Jane King Ayers vs Manisha Thakkar / Laxmi Vishwanathan6-1, 6-2
2022-06-20Lost 01
L#1 DoublesRachel Nies / Ann-Marie Lundberg vs Karen Kraus / Sarah Larson6-4, 7-6
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.

3.5
Ann-Marie Lundberg
63W–71L career
41%59%0%
2.97
3
Dipali Dixit
40W–48L career
not enough data

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.