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CGM-Ellingson

2019 Mixed 40 & Over · 7.0 Mixed

10 players · average NTRP 3.39 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.08 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.

3.42
Karen Pickering
usually #2 Doubles 80%, also #1 Doubles 20% · published 3.5
3.39
Cheryl Geisler
usually #1 Doubles 67%, also #2 Doubles 33% · published 3.5
3.25
Jon Peters
published 3.5
—
Rolf Ellingsen
usually #1 Doubles 100% · published 3.5
3.21
Vicki Blunt
usually #1 Doubles 67%, also #2 Doubles 33% · published 3.5
3.09
Steve Thunstedt
usually #3 Doubles 50%, also #1 Doubles 50% · published 3.5
3.09
Heidi Kjos
usually #1 Doubles 100% · published 3.5
2.65
Tomoko Langworthy
usually #2 Doubles 44%, also #3 Doubles 44% · published 3
2.53
Tamara Phillips
usually #3 Doubles 67%, also #2 Doubles 33% · published 3
—
David Smiley
usually #2 Doubles 100% · published 0
Results8 ties
2019-03-03Lost 1–2
W#1 DoublesRolf Ellingsen / Brooke Henderson vs Linda Binns / Warren Olsen7-5, 6-2
L#2 DoublesMike Rebar / Karen Pickering vs Julie Trujillo / Ben Yamaguchi2-6, 6-4, 1-0
L#3 DoublesVincent Scopacasa / Tomoko Langworthy vs Tami McAra / Charles Eastwood6-4, 6-4
2019-02-24Won 2–0
W#1 DoublesBrooke Henderson / Steve Thunstedt vs Misuzu Komine / Rick Ward6-2, 4-6, 1-0
W#2 DoublesKaren Pickering / David Smiley vs Patrick Kirk / Maritess Mayer6-1, 6-3
2019-02-16Lost 1–2
L#1 DoublesRolf Ellingsen / Vicki Blunt vs Kerry Sanford / Steve Sanford6-3, 4-6, 1-0
L#2 DoublesMike Rebar / Cheryl Geisler vs Karen Dellinger / Jeff Mcdougald6-4, 6-3
W#3 DoublesVincent Scopacasa / Tomoko Langworthy vs Jessi Sevy / John Liao6-1, 6-2
2019-02-10Lost 0–3
L#1 DoublesRolf Ellingsen / Vicki Blunt vs Theresa Fichter / Vincent Lee6-3, 6-4
L#2 DoublesVincent Scopacasa / Tomoko Langworthy vs Wanda Ng / Agus Rusli6-4, 6-2
L#3 DoublesMark Muckerheide / Tamara Phillips vs Kimiko Kotsugi / Hoover Li6-1, 6-1
2019-01-20Won 2–0
W#1 DoublesRolf Ellingsen / Cheryl Geisler vs Tony Moreno / Lei Zhu6-2, 4-6, 1-0
W#3 DoublesVincent Scopacasa / Tomoko Langworthy vs Jonathan Lo / Sara Shah6-4, 6-1
2019-01-19Lost 0–3
L#1 DoublesRolf Ellingsen / Heidi Kjos vs Amy Thomas / Oscar Polo6-1, 6-1
L#2 DoublesDavid Smiley / Vicki Blunt vs Shamera Daugherty / Mike Mullen7-6, 6-3
L#3 DoublesSteve Thunstedt / Tamara Phillips vs Andrea Findley / Bert Berends6-1, 6-1
2019-01-13Lost 0–2
L#1 DoublesRolf Ellingsen / Cheryl Geisler vs Jeff Anhaltzer / Laurence Dupray6-2, 6-1
L#2 DoublesAlan Ebert / Karen Pickering vs Shannon Roarke / Gabriel Weaver6-1, 6-0
2019-01-05Won 3–0
W#1 DoublesRolf Ellingsen / Brooke Henderson vs Paul Burkhart / Chris Farentinos6-4, 3-6, 1-0
W#2 DoublesMark Muckerheide / Tamara Phillips vs Allan Warman / Alysa Rose3-6, 7-6, 1-0
W#3 DoublesVincent Scopacasa / Tomoko Langworthy vs Marc Gonzales / Marianne Dwyer6-0, 6-0
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
Karen Pickering
156W–123L career
0%95%5%
3.42
3.5
Cheryl Geisler
124W–100L career
0%97%3%
3.39
3.5
Jon Peters
33W–36L career · type M
8%87%5%
3.25
3.5
Rolf Ellingsen
43W–38L career
not enough data
—
3.5
Vicki Blunt
89W–109L career
2%98%0%
3.21
3.5
Steve Thunstedt
32W–46L career · type S
25%74%1%
3.09
3.5
Heidi Kjos
74W–115L career
14%86%0%
3.09
3
Tomoko Langworthy
50W–68L career
7%93%0%
2.65
3
Tamara Phillips
66W–129L career
26%74%0%
2.53
0
David Smiley
19W–35L 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.