Teams

STAC Guptill

2020 Adult 55 & Over · 8.0 Women

1 players · average NTRP 4 · USTA/PACIFIC NW / SOUTHWEST WASHINGTON

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Scouting

Roster averages 3.22 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.

3.22
Michelle O'Neil
usually #1 Doubles 100% · published 4
Results8 ties
2019-12-15Won 10
W#1 DoublesMichelle O'Neil / Patricia Carow vs Bonnie Wood / Patti Johnson7-5, 6-1
2019-11-23Won 10
W#1 DoublesStacey Nelson / Michelle O'Neil vs Teri Johnson / Debra Lacayo6-3, 6-2
2019-11-16Won 10
W#1 DoublesMichelle O'Neil / Stacey Nelson vs Jill Wallen / Chiyuki Sugimoto7-5, 3-6, 1-0
2019-10-26Won 10
W#1 DoublesMichelle O'Neil / Debra Keahey vs Barbara Koslosky / Karin Brown6-1, 6-2
2019-10-12Lost 01
L#1 DoublesMichelle O'Neil / Debra Keahey vs Cathy Healy / Rebecca Lawson6-4, 5-7, 1-0
2019-09-22Won 10
W#1 DoublesMichelle O'Neil / Patricia Carow vs Kathi McKay / Louise Doran4-6, 7-6, 1-0
2019-09-15Won 10
W#1 DoublesMichelle O'Neil / Patricia Carow vs Kay Lorrain / Ellen Coady6-2, 6-2
2019-09-14Won 10
W#1 DoublesPatty Kilmer / Michelle O'Neil vs Kathleen Smoots / Mary Jane Stackpole7-6, 6-3
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
Michelle O'Neil
69W–73L career
95%5%0%
3.22

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.