Teams

MPRC-Chamberlain

2019 Mixed 55 & Over · 6.0 Mixed

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

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Scouting

Roster averages 2.97 estimated across 1 rated player. 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.

2.97
Ann-Marie Lundberg
usually #1 Doubles 63%, also #3 Doubles 25% · published 3.5
Keibun Hayashi
usually #1 Doubles 67%, also #2 Doubles 33% · published 3
Results5 ties
2019-05-19Won 10
W#3 DoublesGeorge Detrick / Ann-Marie Lundberg vs Karl Kunkle / Darline Meier6-0, 7-5
2019-05-18Lost 01
L#1 DoublesKeibun Hayashi / Lisa McCarthy vs Caitlin Seabright / Ian Rogers6-0, 6-2
2019-04-19Lost 02
L#1 DoublesAnn-Marie Lundberg / George Detrick vs Lee Wilcox / Robin Burak6-0, 6-4
L#2 DoublesKeibun Hayashi / Lisa McCarthy vs Trish Carder / Colin Looi6-1, 6-0
2019-04-13Won 10
W#1 DoublesAnn-Marie Lundberg / Frank MacMurray vs Todd Hennelly / Cricket Forsey6-4, 0-6, 1-0
2019-04-07Lost 01
L#1 DoublesKeibun Hayashi / Lisa McCarthy vs James Carey / Claire C Gates6-2, 6-2
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
Ann-Marie Lundberg
63W–71L career
41%59%0%
2.97
3
Keibun Hayashi
32W–84L 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.