Teams

MPRC-Donahue/DeWeese

2022 Mixed 40 & Over · 7.0 Mixed

11 players · average NTRP 3.45 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.20 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.

3.59
Seth Yount
usually #3 Doubles 50%, also #1 Doubles 38% · published 4
3.46
Jim DeWeese
usually #3 Doubles 75%, also #2 Doubles 25% · published 3.5
Lori Zoborowski
usually #2 Doubles 50%, also #1 Doubles 50% · published 3.5
Rand Zoborowski
usually #2 Doubles 50%, also #1 Doubles 50% · published 3.5
Sibyl Jarrett
usually #1 Doubles 50%, also #2 Doubles 30% · published 3.5
Yanchen Qi
usually #2 Doubles 60%, also #3 Doubles 40% · published 3.5
3.16
Dan Wolff
usually #1 Doubles 100% · published 3.5
3.07
Susan Browning
usually #3 Doubles 50%, also #2 Doubles 50% · published 3
3.06
Gerald Chase
usually #1 Doubles 75%, also #2 Doubles 25% · published 3.5
2.85
Joann Donahue
usually #1 Doubles 50%, also #2 Doubles 50% · published 3
Robert Wendland
usually #2 Doubles 67%, also #1 Doubles 33% · published 0
Results7 ties
2022-03-19Won 20
W#2 DoublesJoann Donahue / Gerald Chase vs Kathy Ramsey / Allen VanLeuven6-4, 6-4
W#3 DoublesRita DeWeese / Jim DeWeese vs Todd Jacobson / Jennie Brawn6-2, 6-2
2022-03-12Lost 12
L#1 DoublesGerald Chase / Joann Donahue vs Tony Mattos / Dayna Porter6-2, 6-4
W#2 DoublesSeth Yount / Christine Moran vs Sundar Ramamurthy / Suki Birge2-6, 6-4, 1-0
L#3 DoublesJim DeWeese / Rita DeWeese vs Alan Liang / Jing Feng6-4, 6-1
2022-03-05Lost 12
L#1 DoublesRand Zoborowski / Lori Zoborowski vs Dan Bingham / Nichole Anglin0-6, 6-3, 1-0
L#2 DoublesRobert Wendland / Christine Moran vs Dan Tracy / Julie Trujillo6-1, 6-3
W#3 DoublesJim DeWeese / Rita DeWeese vs Paula Watt / David Swanson6-3, 6-4
2022-02-19Lost 12
L#1 DoublesSibyl Jarrett / Gerald Chase vs Jeri Finn / Zachary Wright6-1, 6-2
L#2 DoublesRita DeWeese / Jim DeWeese vs Kim Wright / Richard Sohn6-2, 6-3
W#3 DoublesYanchen Qi / Seth Yount vs Kayla Casebeer / Reza Kafi7-5, 1-6, 1-0
2022-02-12Lost 12
L#1 DoublesGerald Chase / Sibyl Jarrett vs Albert Hensley / Elizabeth Maguire2-6, 6-2, 1-0
L#2 DoublesRobert Wendland / Susan Browning vs Brad Johnson / Trina Newcomb6-3, 6-4
W#3 DoublesSeth Yount / Yanchen Qi vs David Bender / Cricket Forsey6-0, 6-2
2022-02-05Lost 12
L#1 DoublesSibyl Jarrett / Dan Wolff vs Christine Taylor / Tony Moreno6-3, 6-2
L#2 DoublesLori Zoborowski / Rand Zoborowski vs Karen Groenweghe / RICK ROGOWAY6-3, 6-4
W#3 DoublesRita DeWeese / Seth Yount vs Kathi Gray / Catalin Stoica6-0, 6-2
2022-01-23Split 11
L#1 DoublesChristine Moran / Robert Wendland vs Hoyun Barr / Michael Won6-1, 6-0
W#3 DoublesSusan Browning / Seth Yount vs Heidi Palena / Robert Palena6-3, 6-3
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
Seth Yount
178W–58L career
13%87%0%
3.59
3.5
Jim DeWeese
89W–73L career
0%89%11%
3.46
3.5
Lori Zoborowski
23W–29L career · type S
not enough data
3.5
Rand Zoborowski
9W–27L career · type S
not enough data
3.5
Sibyl Jarrett
36W–73L career
not enough data
3.5
Yanchen Qi
29W–55L career
not enough data
3.5
Dan Wolff
25W–51L career
12%88%1%
3.16
3
Susan Browning
45W–42L career
0%60%40%
3.07
3.5
Gerald Chase
52W–41L career
28%72%0%
3.06
3
Joann Donahue
23W–41L career
0%95%4%
2.85
0
Robert Wendland
15W–19L 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.