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N OR-VTC-Kowalewski

2023 Adult 55 & Over · 9.0 Women

9 players · average NTRP 4.39 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.86 estimated across 7 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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Monika Dolega-kowalewski
usually #1 Doubles 67%, also #2 Doubles 33% · published 5
4.32
Kristin Fudalla
usually #3 Doubles 100% · published 4.5
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Sandy Garry
usually #2 Doubles 60%, also #1 Doubles 40% · published 4.5
3.95
Shannon Fraser
usually #2 Doubles 50%, also #3 Doubles 33% · published 4.5
3.85
Janet Tabor
usually #1 Doubles 33%, also #3 Doubles 33% · published 4.5
3.84
Claire Thayer
usually #1 Doubles 71%, also #3 Doubles 29% · published 4
3.83
June Wu
usually #3 Doubles 40%, also #2 Doubles 40% · published 4.5
3.63
Katherine Kralj
usually #2 Doubles 44%, also #1 Doubles 44% · published 4
3.57
Marie Picard
usually #1 Doubles 50%, also #3 Doubles 33% · published 4
Results7 ties
2022-11-20Won 2–1
W#1 DoublesClaire Thayer / Monika Dolega-kowalewski vs Linda Anderson / Kimberly Quach6-1, 6-1
W#2 DoublesShannon Fraser / June Wu vs Carol Woolman / Xia Wu6-3, 3-6, 1-0
L#3 DoublesKristin Fudalla / Katherine Kralj vs Lisa Gray / Kim Hill3-6, 6-3, 1-0
2022-11-19Won 3–0
W#1 DoublesClaire Thayer / Monika Dolega-kowalewski vs Tami Oglesby / Jill Sather6-1, 6-0
W#2 DoublesJanet Tabor / Sandy Garry vs Deborah Borchers / Cindy Rushall6-3, 6-2
W#3 DoublesRhonda Thomas / Shannon Fraser vs N/A6-0, 6-0
2022-11-12Won 3–0
W#1 DoublesShannon Fraser / Rhonda Thomas vs Deborah Borchers / Jill Sather6-2, 6-3
W#2 DoublesKatherine Kralj / Monika Dolega-kowalewski vs Yumiko Pike / Lisa Provost6-0, 6-0
W#3 DoublesJanet Tabor / Claire Thayer vs N/A6-0, 6-0
2022-11-06Won 3–0
W#1 DoublesKatherine Kralj / Monika Dolega-kowalewski vs Lisa Gray / Kimberly Quach6-2, 6-3
W#2 DoublesSandy Garry / June Wu vs Carol Woolman / Kim Hill4-6, 6-3, 1-0
W#3 DoublesMarie Picard / Kristin Fudalla vs Karen Sullivan / Xia Wu6-4, 4-6, 1-0
2022-11-05Won 3–0
W#1 DoublesJune Wu / Sandy Garry vs Lisa Lyon / Julie Hanson4-6, 6-2, 1-0
W#2 DoublesRhonda Thomas / Shannon Fraser vs Flor Harrigan / Karen Dellinger6-2, 7-5
W#3 DoublesMarie Picard / Kristin Fudalla vs Takumi Koyama / Angie Lee6-2, 6-0
2022-10-30Won 3–0
W#1 DoublesSandy Garry / Janet Tabor vs Cynthia McPhee / Lisa Handley6-2, 2-6, 1-0
W#2 DoublesMarie Picard / Monika Dolega-kowalewski vs Amy Leahy / Stacy Hawkins Parker6-4, 6-4
W#3 DoublesShannon Fraser / June Wu vs Shannon Dilorenzo / Jennifer Devoe6-1, 7-5
2022-10-29Lost 1–2
W#1 DoublesMonika Dolega-kowalewski / Marie Picard vs Sue Gregoire / Deanna Lautenbach6-4, 4-6, 1-0
L#2 DoublesShannon Fraser / Sandy Garry vs Chiho Cronk / Michelle Donato6-0, 6-1
L#3 DoublesRhonda Thomas / June Wu vs Yuko Hopman / Cathrine Olander6-3, 7-5
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.

5
Monika Dolega-kowalewski
129W–47L career
not enough data
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4.5
Kristin Fudalla
64W–38L career
0%94%6%
4.32
4.5
Sandy Garry
145W–81L career
not enough data
—
4.5
Shannon Fraser
154W–62L career
27%73%0%
3.95
4.5
Janet Tabor
51W–28L career
52%48%0%
3.85
4
Claire Thayer
136W–67L career
0%98%2%
3.84
4.5
June Wu
148W–91L career
58%42%0%
3.83
4
Katherine Kralj
142W–116L career
6%94%0%
3.63
4
Marie Picard
128W–96L career
18%82%0%
3.57

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.