Teams

CGM-Peters

2019 Mixed 55 & Over · 6.0 Mixed

2 players · average NTRP 3 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 2.67 estimated across 2 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.

2.70
Mike Olson
usually #1 Doubles 75%, also #3 Doubles 13% · published 3
2.65
Tomoko Langworthy
usually #2 Doubles 43%, also #3 Doubles 29% · published 3
Results7 ties
2019-06-09Lost 01
L#1 DoublesRaquel Rich / Mike Olson vs Coleman Cobb / Nancy Salisbury6-1, 6-4
2019-06-01Won 10
W#1 DoublesTomoko Langworthy / Mike Olson vs John Lynch / Anita Palodichuk6-4, 7-5
2019-05-26Won 10
W#2 DoublesRaquel Rich / Mike Olson vs Darline Meier / Karl Kunkle6-4, 6-4
2019-05-05Lost 01
L#1 DoublesMike Olson / Cecilia Nguyen vs Lee Wilcox / Robin Burak6-3, 6-7, 1-0
2019-04-20Won 10
W#1 DoublesTomoko Langworthy / Mike Olson vs Lynne Bowman / JAMES PETERS6-0, 6-0
2019-04-13Won 10
W#3 DoublesTomoko Langworthy / Jim Collins vs William Maddox / Nancy Lowenberg7-5, 1-6, 1-0
2019-04-06Won 10
W#2 DoublesTomoko Langworthy / Hal Bond vs Kay Hallmark / Douglas Bennett6-0, 6-1
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
Mike Olson
68W–92L career
7%92%1%
2.70
3
Tomoko Langworthy
50W–68L career
7%93%0%
2.65

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.