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MPRC-Weaver

2022 Mixed 40 & Over · 6.0 Mixed

9 players · average NTRP 3.11 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 2.99 estimated across 8 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 #2 Doubles 67%, also #1 Doubles 33% · published 3.5
3.26
Eric Ayers
usually #1 Doubles 80%, also #3 Doubles 20% · published 3.5
3.15
Yongping Liu
usually #1 Doubles 67%, also #2 Doubles 33% · published 3
3.09
Jean Schnadig
usually #3 Doubles 100% · published 3
2.89
Ian Schnadig
usually #3 Doubles 100% · published 3
2.87
Dan Blaker
usually #2 Doubles 67%, also #1 Doubles 33% · published 3
2.83
Manoj Agnihotri
usually #3 Doubles 50%, also #2 Doubles 50% · published 3
—
Dipali Dixit
usually #3 Doubles 50%, also #2 Doubles 50% · published 3
2.51
Keith Ketterling
usually #2 Doubles 60%, also #1 Doubles 20% · published 3
Results8 ties
2022-03-19Lost 0–2
L#1 DoublesJing Li / Yongping Liu vs Joshua Lewis / Wendy Schmidt7-5, 7-5
L#2 DoublesDipali Dixit / Manoj Agnihotri vs Laurel Hallock Koppelman / Scott Naugler2-6, 6-4, 1-0
2022-03-13Won 3–0
W#1 DoublesJing Li / Yongping Liu vs Tara Morissette / Scott Dickinson6-1, 6-1
W#2 DoublesManoj Agnihotri / Dipali Dixit vs Heather Dale / Robert Burlingame6-2, 6-2
W#3 DoublesJane King Ayers / Eric Ayers vs Heather Davidson / Darren Marshall6-2, 6-1
2022-03-06Won 3–0
W#1 DoublesLupine Swanson / Dan Blaker vs Melanie DeSilva / Eli Lamb6-4, 6-2
W#2 DoublesJennifer Weaver / Keith Ketterling vs Shahin Ansari / Karla Hendrickson6-2, 4-6, 1-0
W#3 DoublesDipali Dixit / Manoj Agnihotri vs Jan Boyd / JAMES KYUNG6-2, 6-0
2022-03-04Lost 0–3
L#1 DoublesJane King Ayers / Eric Ayers vs Jane Paulsen / Christian Paulsen6-4, 2-6, 1-0
L#2 DoublesLupine Swanson / Dan Blaker vs Nicola Ash / Nick Hooker7-5, 6-3
L#3 DoublesJennifer Weaver / Keith Ketterling vs Karin Owens / Ryan Owens6-3, 7-6
2022-02-26Lost 1–2
W#1 DoublesJane King Ayers / Eric Ayers vs Dorothy Cofield / Scott Omlid6-1, 6-0
L#2 DoublesRachel Nies / Keith Ketterling vs Barbara Gram / Joel Naumoff6-1, 6-7, 1-0
L#3 DoublesJean Schnadig / Ian Schnadig vs Fenn Bourland / Laurel Soot6-3, 2-6, 1-0
2022-02-06Won 2–1
W#1 DoublesJane King Ayers / Eric Ayers vs Lynda Gordon / Suresh Chand6-1, 6-3
L#2 DoublesLupine Swanson / Dan Blaker vs Kok Waii Wong / Jane Shu3-6, 6-1, 1-0
W#3 DoublesDipali Dixit / Manoj Agnihotri vs Tina Kriebaum / Frank Brown6-1, 4-6, 1-0
2022-01-30Won 2–1
W#1 DoublesRachel Nies / Keith Ketterling vs Robyn Hilden / Jeff Hilden6-1, 6-4
W#2 DoublesJing Li / Yongping Liu vs Sharon Place / Brian Patrick6-2, 6-4
L#3 DoublesJean Schnadig / Ian Schnadig vs William Place / Mary Rudinsky6-0, 6-7, 1-0
2022-01-14Won 2–1
W#1 DoublesJane King Ayers / Eric Ayers vs Michael McTague / Susan Block6-0, 6-0
L#2 DoublesJennifer Weaver / Keith Ketterling vs Dave Sasaki / Judy Friedman3-6, 6-3, 1-0
W#3 DoublesJean Schnadig / Ian Schnadig vs Maarten Schreuder / Lisa Bledsoe4-6, 6-4, 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.

3.5
Lupine Swanson
59W–24L career
0%96%3%
3.34
3.5
Eric Ayers
77W–67L career
1%98%1%
3.26
3
Yongping Liu
68W–49L career
0%40%60%
3.15
3
Jean Schnadig
43W–40L career
0%56%44%
3.09
3
Ian Schnadig
37W–34L career
0%95%5%
2.89
3
Dan Blaker
35W–48L career
0%97%3%
2.87
3
Manoj Agnihotri
81W–117L career
0%99%1%
2.83
3
Dipali Dixit
40W–48L career
not enough data
—
3
Keith Ketterling
13W–23L career · type S
33%67%0%
2.51

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.