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N OR-CAC-Birkhofer

2024 Adult 55 & Over · 8.0 Women

7 players · average NTRP 3.86 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.54 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.

3.76
Liz DelPlato
usually #1 Doubles 100% · published 4
—
Penny Birkhofer
usually #1 Doubles 75%, also #2 Doubles 25% · published 4
3.63
Katherine Kralj
usually #2 Doubles 67%, also #1 Doubles 33% · published 4
3.63
Donna Roisom
usually #2 Doubles 89%, also #1 Doubles 11% · published 4
3.53
Crystal Bryant
usually #2 Doubles 56%, also #1 Doubles 33% · published 4
3.36
Michele Snyder
usually #1 Doubles 75%, also #2 Doubles 13% · published 3.5
3.30
Barbara Seatter
usually #3 Doubles 75%, also #1 Doubles 25% · published 3.5
Results10 ties
2023-12-03Split 1–1
W#1 DoublesLiz DelPlato / Donna Roisom vs Sherri Sacconaghi / Kathleen Budnick6-2, 7-5
L#2 DoublesPenny Birkhofer / Crystal Bryant vs Elizabeth Domagalski / Joelle Lewis6-0, 6-4
2023-12-02Won 2–1
L#1 DoublesPenny Birkhofer / Michele Snyder vs Laura Luthi / Linda Lovett5-7, 6-3, 1-0
W#2 DoublesCathryn Hansen / Donna Roisom vs Kim Stevens / Pam Saftler6-3, 6-3
W#3 DoublesCrystal Bryant / Elda Nelson vs Brenda Bonnell / Jean Herbst6-3, 4-6, 1-0
2023-11-18Won 2–0
W#1 DoublesLiz DelPlato / Cathryn Hansen vs Carol Briggs / Robby Lafleur6-0, 6-2
W#2 DoublesCrystal Bryant / Donna Roisom vs Linda Barr / Dalika Crawford6-4, 3-6, 1-0
2023-11-04Won 2–1
W#1 DoublesCrystal Bryant / Cathryn Hansen vs Tami Oglesby / Karen Pickering6-4, 6-0
W#2 DoublesKari Martin / Donna Roisom vs Lori D'Antonio / Lisa Provost6-2, 6-3
L#3 DoublesBarbara Seatter / Elda Nelson vs Carol Chiu / Tina Clancy6-1, 6-1
2023-10-28Split 1–1
W#1 DoublesLiz DelPlato / Cathryn Hansen vs Angie Lee / Bo Yu6-2, 6-2
L#2 DoublesMisty Bettis / Donna Roisom vs Karen Dellinger / Flor Harrigan6-1, 6-1
2023-10-21Won 2–1
W#1 DoublesCathryn Hansen / Katherine Kralj vs Lisa Lyon / Amy Alpern7-6, 6-4
L#2 DoublesDonna Roisom / Crystal Bryant vs Jan Rothert / Mary Elliott7-5, 3-6, 1-0
W#3 DoublesKari Martin / Barbara Seatter vs Cathy Porter / Nina Sanna6-1, 2-6, 1-0
2023-10-15Lost 0–2
L#1 DoublesPenny Birkhofer / Michele Snyder vs Erica Tsuruta / Carrie Fisher7-6, 6-1
L#2 DoublesKatherine Kralj / Donna Roisom vs Mary Rousseau / Marie Picard6-4, 6-4
2023-10-07Split 1–1
L#1 DoublesPenny Birkhofer / Michele Snyder vs Donna Feuerherdt / Paula Watt6-0, 4-6, 1-0
W#2 DoublesCrystal Bryant / Donna Roisom vs Katherine Farrell / Anita Havemann6-1, 6-1
2023-09-29Won 2–0
W#2 DoublesKatherine Kralj / Donna Roisom vs Rita Arden / Rochelle Pluymers6-3, 6-1
W#3 DoublesElda Nelson / Michele Snyder vs Susan Agee / Cheryl Hopkins6-1, 6-2
2023-09-23Won 2–0
W#2 DoublesCrystal Bryant / Elda Nelson vs Ellen Bowman / Tonya Halog6-3, 6-3
W#3 DoublesKari Martin / Barbara Seatter vs Sandi Martes / Joanetta Testa3-6, 6-3, 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
Liz DelPlato
124W–99L career
1%99%0%
3.76
4
Penny Birkhofer
68W–50L career
not enough data
—
4
Katherine Kralj
142W–116L career
6%94%0%
3.63
4
Donna Roisom
100W–85L career
9%91%0%
3.63
4
Crystal Bryant
105W–117L career
24%76%0%
3.53
3.5
Michele Snyder
149W–123L career
0%97%2%
3.36
3.5
Barbara Seatter
48W–60L career
1%97%2%
3.30

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.