Teams

Jupiter Stars

2019 Adult 18 & Over · 3.0 Women

1 players · average NTRP 3 · USTA/PACIFIC NW / SOUTHWEST WASHINGTON

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Scouting

Roster averages 2.44 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.

2.44
Natasha Brady
usually #2 Doubles 50%, also #1 Doubles 38% · published 3
Results8 ties
2019-08-24Won 10
W#1 DoublesJolene Rhodes / Natasha Brady vs Patty Booth / Tiffany Rooney6-2, 6-1
2019-08-23Won 10
W#1 DoublesNatasha Brady / Jolene Rhodes vs Elizabeth Ayotte / Molly Hisatomi6-3, 1-6, 1-0
2019-08-23Won 10
W#1 DoublesJolene Rhodes / Natasha Brady vs Patti Nikaitani / Caprice Pine6-4, 6-2
2019-06-15Lost 01
L#2 DoublesTamara Troutman / Natasha Brady vs Joy Snodgrass / Suzana Bulatovic6-3, 6-2
2019-05-18Lost 01
L#2 DoublesNatasha Brady / Lee Ann Strueby vs Pat Blackburn / MaryAnn Baker6-3, 6-3
2019-04-07Lost 01
L#2 DoublesNatasha Brady / Jeanine Lukes vs Anne Marie Stedham / Joan King6-4, 6-1
2019-03-30Lost 01
L#2 DoublesNatasha Brady / Jeanine Lukes vs Karen Cook / Lyudmila Kunitsa6-1, 6-3
2019-03-10Lost 01
L#3 DoublesNatasha Brady / Laurel Robinson vs Diane Kelley / Ellie Wrench6-2, 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.

3
Natasha Brady
33W–101L career
51%49%0%
2.44

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.