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SHC-Trank/Bunch

2024 Adult 40 & Over · 3.0 Women

8 players · average NTRP 3.19 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.06 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.

3.54
Alma Siri
usually #1 Singles 89%, also #1 Doubles 11% · published 3.5
3.16
Carmen Warda
usually #2 Doubles 67%, also #1 Doubles 33% · published 3.5
3.08
Mary Rudinsky
usually #1 Doubles 43%, also #3 Doubles 43% · published 3.5
2.93
Autumn Bunch
usually #2 Doubles 75%, also #1 Doubles 25% · published 3
2.90
Jennifer Trank
usually #2 Doubles 50%, also #1 Doubles 50% · published 3
2.78
Susanne Cochran
usually #3 Doubles 50%, also #2 Doubles 50% · published 3
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Linnette Donohue
usually #3 Doubles 100% · published 3
—
Shannon Darrow
usually #2 Doubles 67%, also #1 Doubles 33% · published 3
Results8 ties
2024-06-15Lost 1–2
L#1 DoublesJennifer Trank / Sumner Brooks vs Sarah Felker / Robin Browne6-3, 6-3
W#2 DoublesSusanne Cochran / Autumn Bunch vs Heidi Funke / Lisa Johnston-Smith6-2, 6-2
L#3 DoublesLinnette Donohue / Lillian Lee vs Lorri Asder / Beverly Reed4-6, 7-5, 1-0
2024-06-01Won 3–0
W#1 DoublesLisa Mayer / Mary Rudinsky vs Catherine Huang / Janice Kuo1-6, 7-5, 1-0
W#1 SinglesAlma Siri vs JoCarol Nesset-Sale6-0, 6-0
W#2 DoublesAutumn Bunch / Cricket Forsey vs Yu Zhang / Ellen Bradley2-6, 4-1
2024-05-25Won 2–0
W#1 DoublesAlma Siri / Cricket Forsey vs Dar Dragoon / Sheryl Riley6-1, 6-3
W#2 DoublesCarmen Warda / Lisa McBee vs Christine Egan / Karen Kraus6-2, 7-6
2024-05-05Won 4–0
W#1 DoublesLisa Mayer / Mary Rudinsky vs Shelly Bigley / Jacquelyn Miller6-4, 6-0
W#1 SinglesAlma Siri vs Megan Murphy6-0, 6-0
W#2 DoublesAutumn Bunch / Shannon Darrow vs Adrienne Dedelow / Gretchen Sturm7-6, 1-6, 1-0
W#3 DoublesLaura Berner / Susanne Cochran vs Michelle Camarda / Julie Summers2-6, 6-0, 1-0
2024-05-03Won 2–0
W#1 DoublesLisa Mayer / Mary Rudinsky vs Erin Canova / Catherine Huang6-0, 6-0
W#2 DoublesJennifer Trank / Shannon Darrow vs Evelyne Cassell / JoCarol Nesset-Sale6-4, 6-3
2024-04-27Split 1–1
W#1 DoublesJennifer Trank / Sumner Brooks vs Jaime Venezia / Joann Szueber7-6, 4-6, 1-0
L#2 DoublesCricket Forsey / Carmen Warda vs Delena Palena / ROSY ALANIS6-2, 6-1
2024-04-21Won 3–1
L#1 DoublesIvy Lane / Carmen Warda vs Jean Zuber Marshburn / Michelle Robbins5-7, 6-3, 1-0
W#1 SinglesAlma Siri vs Teufelin Traylen6-2, 6-2
W#2 DoublesJennifer Trank / Lucila Griesser vs Tara Hieggelke / Dianna Kaady6-3, 6-4
W#3 DoublesLinnette Donohue / Laura Berner vs Molly Albright / Ilona Vondolovski6-3, 4-6, 1-0
2024-04-14Split 1–1
L#1 DoublesShannon Darrow / Autumn Bunch vs Jinmi Kemple / Sabine Verbiest6-4, 3-6, 1-0
W#2 DoublesLisa Mayer / Mary Rudinsky vs Dawan Pandya / April Mayers6-1, 6-1
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.

3.5
Alma Siri
71W–37L career
0%70%30%
3.54
3.5
Carmen Warda
68W–35L career
5%95%0%
3.16
3.5
Mary Rudinsky
50W–42L career
18%82%0%
3.08
3
Autumn Bunch
68W–71L career
0%92%8%
2.93
3
Jennifer Trank
93W–104L career
0%96%4%
2.90
3
Susanne Cochran
82W–68L career
1%98%1%
2.78
3
Linnette Donohue
20W–28L career
not enough data
—
3
Shannon Darrow
21W–33L 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.