Teams

CP-Causin' a Racquet-Laun

2019 Adult 40 & Over · 4.0 Women

2 players · average NTRP 4 · USTA/PACIFIC NW / NORTHWEST WASHINGTON

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Scouting

Roster averages 3.48 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.

3.54
Kimberly Skorupa
usually #1 Doubles 56%, also #3 Doubles 33% · published 4
3.42
Laura Laun
usually #1 Singles 50%, also #3 Doubles 50% · published 4
Results6 ties
2019-03-10Won 10
W#1 DoublesKimberly Skorupa / Holly Yang vs Polly Perkinson / Kisoon Cho6-3, 6-2
2019-03-09Won 10
W#1 DoublesKimberly Skorupa / Holly Yang vs Erin Hathaway / Alyssa Campbell6-3, 6-1
2019-02-22Won 10
W#3 DoublesLaura Laun / Deborah Murray vs Shelley Chapman / Michelle Kutz6-1, 6-2
2019-02-01Lost 01
L#1 DoublesKimberly Skorupa / Anna Laricheva vs Dieu Nguyen / Lyna Nguyen7-5, 3-6, 1-0
2019-01-26Won 10
W#2 DoublesKimberly Skorupa / Holly Yang vs Tanya Bednarski / Paula Vollers6-3, 6-2
2019-01-05Won 20
W#1 DoublesKimberly Skorupa / Holly Yang vs Andrea Maison / Vicki Moll6-0, 6-1
W#1 SinglesLaura Laun vs Sally Revere6-2, 6-0
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
Kimberly Skorupa
132W–138L career
21%80%0%
3.54
4
Laura Laun
28W–30L career
55%45%0%
3.42

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.