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MAC-Thomas

2022 Adult 40 & Over · 4.0 Women

9 players · average NTRP 3.83 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.23 estimated across 4 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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June Kim
usually #3 Doubles 100% · published 4
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Kim Stevens
usually #1 Doubles 80%, also #3 Doubles 20% · published 4
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Lori Bernhardt
usually #2 Doubles 100% · published 4
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Michaela Bancud
usually #1 Doubles 80%, also #2 Doubles 20% · published 4
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Susie Jansky
usually #3 Doubles 67%, also #2 Doubles 33% · published 4
3.48
Jeanette Thomas
usually #3 Doubles 60%, also #1 Doubles 40% · published 4
3.24
Dana McKillop
usually #2 Doubles 100% · published 3.5
3.12
Diana Callaway
usually #2 Doubles 50%, also #1 Doubles 50% · published 3.5
3.10
Amanda Lowthian
usually #2 Doubles 50%, also #3 Doubles 50% · published 3.5
Results8 ties
2022-06-12Lost 1–2
L#1 DoublesDiana Callaway / Sally Sterling vs Deborah Naugler / Rebecca Martinez Griffin6-2, 6-1
L#2 DoublesLori Bernhardt / Rebecca Roberts vs Mary Elliott / Kathleen Goodfriend7-5, 7-6
W#3 DoublesJune Kim / Susie Jansky vs Char Riley / Libby North6-3, 6-2
2022-06-05Lost 1–2
W#1 DoublesKim Stevens / Sally Sterling vs Babette Zielinski / Mary Hlady6-2, 6-3
L#2 DoublesSusie Jansky / Lori Bernhardt vs Shelly Perkins / Catherine Crosby6-3, 6-3
L#3 DoublesLoann Wong / Amanda Lowthian vs Nancy Korenek-Leveque / Gwen Matthews6-1, 3-6, 1-0
2022-06-04Split 1–1
L#1 DoublesJeanette Thomas / Michaela Bancud vs Elizabeth Domagalski / Jessica Khalili6-3, 4-6, 1-0
W#3 DoublesSusie Jansky / Rebecca Roberts vs N/A6-0, 6-0
2022-05-15Lost 1–2
L#1 DoublesMegan Meagher / Kim Stevens vs Cassia Carpio / Lily Looi7-6, 4-6, 1-0
L#2 DoublesDana McKillop / Diana Callaway vs Kate Leatherbarrow / Michele Sutherland6-4, 6-3
W#3 DoublesSusie Jansky / June Kim vs Loo Yah Leong / Maryam Farinola6-1, 6-1
2022-05-13Won 2–1
W#1 DoublesMichaela Bancud / Jeanette Thomas vs Danielle Cuenco / Holly Kanz7-6, 3-6, 1-0
L#2 DoublesRebecca Roberts / Susie Jansky vs Jerilyn Hanson / Jennifer Simmons6-3, 6-3
W#3 DoublesKim Stevens / Megan Meagher vs Sarah Yu / Sarah Carrato6-4, 6-1
2022-05-08Lost 0–3
L#1 DoublesMichaela Bancud / Rebecca Roberts vs Akemi Okusada / Ren Toshié Miura4-6, 6-2, 1-0
L#2 DoublesDana McKillop / Megan Meagher vs Tamara Witcosky / Sharon Grilley6-1, 6-4
L#3 DoublesJeanette Thomas / June Kim vs Carrie Fisher / Rochelle Hart6-4, 6-4
2022-05-01Won 2–1
L#1 DoublesMichaela Bancud / Kim Stevens vs Nikki Nadig / Kristin de Baldo4-6, 6-3, 1-0
W#2 DoublesDana McKillop / Megan Meagher vs Mary Chennault / Heather Watkins6-1, 6-3
W#3 DoublesJeanette Thomas / June Kim vs Julie Atchley / Theresa Mallari6-2, 7-5
2022-04-24Won 2–1
W#1 DoublesKim Stevens / Sally Lovett vs Cheryl Roloff / Deanna Peterson6-1, 2-6, 1-0
L#2 DoublesMichaela Bancud / Amanda Lowthian vs Mary Taylor / Philippa Stasiuk6-4, 6-4
W#3 DoublesJeanette Thomas / Susie Jansky vs Katherine Lomartire / Sheila McCarroll6-0, 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.

4
June Kim
20W–16L career
not enough data
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4
Kim Stevens
56W–44L career
not enough data
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4
Lori Bernhardt
28W–38L career
not enough data
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4
Michaela Bancud
26W–50L career
not enough data
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4
Susie Jansky
53W–45L career
not enough data
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4
Jeanette Thomas
89W–74L career
40%60%0%
3.48
3.5
Dana McKillop
23W–65L career
1%98%0%
3.24
3.5
Diana Callaway
7W–35L career
13%87%0%
3.12
3.5
Amanda Lowthian
17W–39L career
13%87%0%
3.10

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.