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SHC-Zielinski

2023 Adult 55 & Over · 8.0 Women

9 players · average NTRP 3.81 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.49 estimated across 6 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.

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Nancy Garlock
usually #1 Doubles 46%, also #2 Doubles 27% · published 4
—
Shelly Perkins
usually #2 Doubles 50%, also #1 Doubles 50% · published 4
3.65
Kristen Fisher
usually #1 Doubles 40%, also #2 Doubles 40% · published 4
3.58
Hong Allen
usually #3 Doubles 33%, also #1 Doubles 33% · published 3.5
3.50
Linda Graham
usually #3 Doubles 67%, also #2 Doubles 17% · published 4
3.46
Nancy Korenek-Leveque
usually #1 Doubles 100% · published 3.5
3.40
Teresa Jackson
usually #2 Doubles 40%, also #1 Doubles 40% · published 4
3.33
Babette Zielinski
usually #2 Doubles 100% · published 3.5
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Gwen Matthews
usually #2 Doubles 50%, also #3 Doubles 25% · published 0
Results7 ties
2022-11-20Won 3–0
W#1 DoublesKristen Fisher / Teresa Jackson vs Lisa Cohns / Joanne Criscione6-4, 6-2
W#2 DoublesNancy Garlock / Gwen Matthews vs Nancy Atkins / Kathleen Budnick2-6, 7-5, 1-0
W#3 DoublesHong Allen / Linda Graham vs Adrienne VanBeckhoven / Michelle Dombek6-3, 6-4
2022-11-19Won 2–1
L#1 DoublesNancy Garlock / Cathy Valentine vs Sharon Grilley / Carrie Fisher6-2, 5-1
W#2 DoublesKristen Fisher / Teresa Jackson vs Erica Tsuruta / Lynn Sosa6-3, 6-2
W#3 DoublesChrys Culver / Linda Graham vs Mary Rousseau / Anne Fahlbusch6-7, 6-2, 1-0
2022-10-30Won 3–0
W#1 DoublesNancy Garlock / Cathy Valentine vs Julie Hanson / Kaie Wellman6-1, 4-6, 1-0
W#2 DoublesChrys Culver / Linda Graham vs Suzanne Boss / Cheryl Roloff6-1, 7-6
W#3 DoublesSusan Branam / Kristen Fisher vs Sheila McCarroll / Kathleen Murrin7-6, 5-2
2022-10-23Lost 0–3
L#1 DoublesNancy Garlock / Gwen Matthews vs Char Riley / Lisa Lyon6-0, 6-3
L#2 DoublesBabette Zielinski / Kristen Fisher vs Jan Rothert / Mary Elliott7-5, 7-5
L#3 DoublesSusan Branam / Teresa Jackson vs Linda Paulk / Deirdre Harms6-1, 6-2
2022-10-01Lost 0–2
L#1 DoublesTeresa Jackson / Hong Allen vs Pamela Buckley / Lisa Provost6-3, 6-4
L#2 DoublesBabette Zielinski / Chrys Culver vs Diana Almy / Karen Pickering2-6, 7-5, 1-0
2022-09-25Lost 0–3
L#1 DoublesCathy Valentine / Shelly Perkins vs Joelle Lewis / Lydia Smith7-6, 6-2
L#2 DoublesTracy Ouyang / Gwen Matthews vs Lisa Cohns / Joanne Criscione6-3, 6-3
L#3 DoublesHong Allen / Linda Graham vs Nancy Atkins / Kathleen Budnick7-6, 2-6, 1-0
2022-09-17Won 3–0
W#1 DoublesNancy Korenek-Leveque / Kristen Fisher vs Julie Bradford / Julie Hanson6-0, 3-6, 1-0
W#2 DoublesTeresa Jackson / Shelly Perkins vs Ellen Bowman / Suzanne Boss6-4, 6-1
W#3 DoublesGwen Matthews / Susan Branam vs Cheryl Roloff / Sheila McCarroll6-4, 2-6, 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.

4
Nancy Garlock
29W–30L career · type A
not enough data
—
4
Shelly Perkins
16W–16L career
not enough data
—
4
Kristen Fisher
67W–52L career
8%92%0%
3.65
3.5
Hong Allen
39W–50L career
0%58%42%
3.58
4
Linda Graham
76W–76L career
35%65%0%
3.50
3.5
Nancy Korenek-Leveque
76W–81L career · type A
0%89%11%
3.46
4
Teresa Jackson
24W–39L career
60%40%0%
3.40
3.5
Babette Zielinski
52W–66L career
0%97%3%
3.33
0
Gwen Matthews
22W–24L 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.