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MPRC-Shaw/Brennan

2023 Adult 18 & Over · 3.5 Women

6 players · average NTRP 3.25 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.09 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.

3.34
Lupine Swanson
usually #1 Doubles 43%, also #2 Singles 29% · published 3.5
3.24
Devrie Brennan
usually #2 Doubles 29%, also #1 Singles 24% · published 3.5
3.18
Kendra Rothert
usually #1 Doubles 31%, also #2 Singles 23% · published 3.5
3.07
Susan Browning
usually #2 Doubles 50%, also #1 Doubles 33% · published 3
2.85
Jayne Mitchell
usually #3 Doubles 60%, also #1 Doubles 40% · published 3
2.85
Joann Donahue
usually #2 Doubles 100% · published 3
Results9 ties
2023-03-25Lost 1–2
W#1 SinglesLupine Swanson vs Deborah Self6-1, 3-6, 1-0
L#2 DoublesSusan Browning / Rachel Nies vs Angela Benedict / ROSY ALANIS6-1, 6-4
L#3 DoublesDiane Ditmer / Jayne Mitchell vs Tamara Phillips / Brooke Henderson6-4, 7-5
2023-03-12Won 3–0
W#1 DoublesLupine Swanson / Susan Browning vs Elise D Harvey / Gretchen Newcomb6-1, 7-5
W#1 SinglesDevrie Brennan vs Elizabeth Arwood7-5, 6-4
W#2 DoublesKendra Rothert / Rachel Nies vs Danica Lee / Valerie Neill7-5, 5-4
2023-03-05Lost 0–4
L#1 DoublesSusan Browning / Cindy Harris vs Lori Bernhardt / Kim Wright7-5, 6-2
L#2 DoublesNancy Osborne / Kendra Rothert vs Deb Garris / Catherine Leedy6-3, 6-4
L#2 SinglesLupine Swanson vs Carolyn Bachhuber6-4, 6-3
L#3 DoublesJayne Mitchell / Rachel Nies vs Alison Davis / Rico McIver6-4, 6-3
2023-02-25Lost 0–4
L#1 DoublesCindy Harris / Jayne Mitchell vs Tina Farrelly / Parish Burns6-1, 6-1
L#2 DoublesLupine Swanson / Jing Li vs Thu Truong / Elizabeth Schwarz6-3, 6-1
L#2 SinglesDevrie Brennan vs Morgan Cowling6-2, 6-4
L#3 DoublesDiane Ditmer / Susan Browning vs Kari Hastings / Maya Mori6-0, 6-0
2023-02-11Lost 0–3
L#2 DoublesSusan Browning / Rachel Nies vs Jeri Finn / Deana Julka6-1, 6-2
L#2 SinglesDevrie Brennan vs Anna Holowetzki6-2, 6-0
L#3 DoublesKendra Rothert / Jane King Ayers vs Tammy Cofield / Sara Crate6-4, 6-3
2023-02-05Lost 0–3
L#1 DoublesLupine Swanson / Devrie Brennan vs Laura Rundle / Andrea Yao6-3, 6-4
L#2 SinglesKendra Rothert vs Sabine Verbiest6-2, 7-6
L#3 DoublesPenny Shaw / Jayne Mitchell vs Chiharu Olsson / Kim Tellin5-7, 6-3, 1-0
2023-01-22Lost 0–4
L#1 DoublesCindy Harris / Jayne Mitchell vs Kayla Casebeer / Clarice Brown7-5, 6-1
L#2 DoublesSusan Browning / Jing Li vs Tove Maloco / Andrea Lamprecht6-2, 6-3
L#2 SinglesDevrie Brennan vs Sara Vanderhoff6-3, 6-4
L#3 DoublesKendra Rothert / Rachel Nies vs Becky Holzman / Christina McMenamin6-0, 7-5
2023-01-14Won 2–1
W#2 DoublesPenny Shaw / Joann Donahue vs Paula Conway / Jennifer Woodard7-6, 7-5
L#2 SinglesLupine Swanson vs Michele Snyder6-4, 6-3
W#3 DoublesDevrie Brennan / Kendra Rothert vs Tila Parker / Catherine Greenblatt6-4, 6-1
2022-12-09Won 1–0
W#1 DoublesLupine Swanson / Seth Yount vs Daniel M Kim / Misug Kim6-3, 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.

3.5
Lupine Swanson
59W–24L career
0%96%3%
3.34
3.5
Devrie Brennan
53W–47L career
1%98%0%
3.24
3.5
Kendra Rothert
46W–56L career
4%96%0%
3.18
3
Susan Browning
45W–42L career
0%60%40%
3.07
3
Jayne Mitchell
44W–78L career
0%98%2%
2.85
3
Joann Donahue
23W–41L career
0%95%4%
2.85

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.