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CHARB-Good

2020 Adult 18 & Over · 3.0 Women

3 players · average NTRP 3.33 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 2.94 estimated across 3 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.

3.23
Swathi Karlapati
usually #3 Doubles 57%, also #1 Singles 14% · published 3.5
3.04
Christine Taylor
usually #3 Doubles 100% · published 3.5
2.56
Karla Hendrickson
usually #3 Doubles 67%, also #1 Doubles 33% · published 3
Results4 ties
2020-03-07Split 1–1
W#2 SinglesSwathi Karlapati vs Rebecca Arguello6-3, 6-3
L#3 DoublesNancy Good / Christine Taylor vs Susan Gallegos / Shuping Li6-3, 7-6
2020-02-22Won 1–0
W#2 DoublesChristine Irwin / Swathi Karlapati vs Jennifer de Laix / Daryn Peters6-1, 6-1
2020-02-01Split 1–1
W#1 SinglesSwathi Karlapati vs Chana Dolbey6-4, 6-0
L#3 DoublesKarla Hendrickson / Stacy Naccachian vs Delena Palena / Tamee Baffaro6-2, 7-5
2020-01-04Won 1–0
W#3 DoublesSwathi Karlapati / Karla Hendrickson vs Molly Albright / Maya Mori6-1, 6-7, 1-0
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.

3.5
Swathi Karlapati
44W–19L career
3%97%1%
3.23
3.5
Christine Taylor
47W–49L career · type A
24%76%0%
3.04
3
Karla Hendrickson
41W–109L career
18%82%0%
2.56

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.