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VTC-Jones

2022 Mixed 40 & Over · 8.0 Mixed

12 players · average NTRP 3.86 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.64 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.

3.85
Carrie Willis
usually #2 Doubles 100% · published 4
3.84
Francisco Rivera-Giusti
usually #1 Doubles 73%, also #3 Doubles 18% · published 4
—
Peter Aleman
published 4
—
Robert Palena
usually #3 Doubles 60%, also #2 Doubles 20% · published 4
3.71
Nenette Olson
usually #1 Doubles 60%, also #2 Doubles 40% · published 4
3.70
Michael Kazangian
usually #2 Doubles 50%, also #3 Doubles 50% · published 4
3.62
Kevin Muck
usually #3 Doubles 50%, also #2 Doubles 33% · published 4
3.61
Susan Ford
usually #2 Doubles 67%, also #1 Doubles 33% · published 4
3.43
Alan Jones
usually #2 Doubles 67%, also #1 Doubles 33% · published 3.5
3.39
Cheryl Geisler
usually #2 Doubles 43%, also #3 Doubles 43% · published 3.5
—
Denise Dawkins
usually #1 Doubles 40%, also #3 Doubles 40% · published 3.5
—
Lisa West
usually #3 Doubles 50%, also #1 Doubles 50% · published 0
Results7 ties
2022-03-20Lost 1–2
L#1 DoublesLisa West / Francisco Rivera-Giusti vs Jin Velasco / Renato Bernasconi Zuccari6-3, 6-4
W#2 DoublesSusan Ford / Alan Jones vs Carrie Putsch / Adam Gamboa6-3, 6-2
L#3 DoublesStephanie Jones / Michael Kazangian vs Rie Sasakawa / Scott Reis7-5, 3-6, 1-0
2022-03-05Split 1–1
L#1 DoublesFrancisco Rivera-Giusti / Nenette Olson vs Adam Silverblatt / Heather Dudley6-7, 6-2, 1-0
W#2 DoublesThomas Hutley / Carrie Willis vs Quanwang Wei / Michelle Dombek6-3, 3-6, 1-0
2022-03-04Lost 0–3
L#1 DoublesSusan Ford / Alan Jones vs Theresa Mallari / Wahyu Setyawan6-4, 6-4
L#2 DoublesStephanie Jones / Michael Kazangian vs Nikki Nadig / Michael Won6-4, 7-6
L#3 DoublesLisa West / Robert Palena vs Minou Chau / Stephen Crook7-6, 7-5
2022-02-18Lost 0–3
L#1 DoublesFrancisco Rivera-Giusti / Cheryl Hopkins vs Tony Moreno / Liz DelPlato6-4, 6-4
L#2 DoublesAlan Jones / Susan Ford vs D'Arcy Martin / Janine Wood6-4, 6-2
L#3 DoublesThomas Hutley / Cheryl Geisler vs Joseph Nguyen / Jennie Brawn6-0, 6-3
2022-02-06Lost 0–3
L#1 DoublesKelly Asbridge / Robert Palena vs Judith Kobin / Paul Stutzman7-6, 6-1
L#2 DoublesCarrie Willis / Larry Benedict vs Aracelia Hettle / Blair Thompson5-7, 6-3, 1-0
L#3 DoublesCheryl Geisler / Kevin Muck vs Sibyl Jarrett / Matt Bolte3-6, 6-4, 1-0
2022-01-22Lost 1–2
L#1 DoublesPeter Aleman / Denise Dawkins vs Christy Strange / Brad Ouderkirk6-4, 6-3
W#2 DoublesRobert Palena / Nenette Olson vs Sarah Carrato / Jason Ruhmann6-3, 7-5
L#3 DoublesCheryl Geisler / Thomas Hutley vs Michael Archer / Jackie Dooris6-4, 6-2
2022-01-22Split 1–1
W#1 DoublesFrancisco Rivera-Giusti / Nenette Olson vs Patricia Board / David Pham5-7, 6-4, 1-0
L#2 DoublesCarrie Willis / Kevin Muck vs Heike Droste / Agus Rusli6-4, 6-4
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
Carrie Willis
121W–52L career
0%97%3%
3.85
4
Francisco Rivera-Giusti
126W–98L career
0%99%1%
3.84
4
Peter Aleman
16W–16L career · type S
not enough data
—
4
Robert Palena
24W–22L career
not enough data
—
4
Nenette Olson
122W–164L career
2%98%0%
3.71
4
Michael Kazangian
72W–54L career
2%98%0%
3.70
4
Kevin Muck
64W–90L career
9%91%0%
3.62
4
Susan Ford
38W–107L career · type S
11%89%0%
3.61
3.5
Alan Jones
96W–69L career
0%92%8%
3.43
3.5
Cheryl Geisler
124W–100L career
0%97%3%
3.39
3.5
Denise Dawkins
59W–54L career
not enough data
—
0
Lisa West
26W–44L 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.