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IRV-Selis

2019 Mixed 40 & Over · 8.0 Mixed

9 players · average NTRP 3.69 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.49 estimated across 7 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.

3.78
Libby North
usually #2 Doubles 50%, also #3 Doubles 50% · published 4
3.70
Jan Rothert
usually #3 Doubles 40%, also #1 Doubles 40% · published 4
3.70
Tara Hendrickson
usually #1 Doubles 50%, also #3 Doubles 33% · published 4
3.38
Vilath Oudomphong
usually #1 Doubles 75%, also #2 Doubles 25% · published 3.5
3.36
Terence Gariety
usually #1 Doubles 67%, also #2 Doubles 33% · published 3.5
3.29
Ed Schwartz
usually #3 Doubles 67%, also #2 Doubles 33% · published 3.5
—
Gary Chin
usually #1 Doubles 75%, also #3 Doubles 25% · published 3.5
3.23
Ron Selis
published 3.5
—
Jen Woods
usually #3 Doubles 50%, also #2 Doubles 50% · published 0
Results9 ties
2019-03-09Lost 0–2
L#1 DoublesAshleigh Kayser / Vilath Oudomphong vs Claire Thayer / Marc DeSantis6-3, 6-3
L#3 DoublesTara Hendrickson / Ed Schwartz vs Shannon Berry / Toby Krauel6-4, 6-2
2019-03-06Lost 0–2
L#1 DoublesVilath Oudomphong / Susan Snyder vs Quyen Wong / Amy Bucher6-4, 6-1
L#2 DoublesEd Schwartz / Tara Hendrickson vs Azin van Alebeek / David Bender7-6, 6-3
2019-03-03Lost 0–1
L#1 DoublesVilath Oudomphong / Ashleigh Kayser vs Kari Martin / Jono Neher6-2, 6-3
2019-03-02Lost 1–2
L#1 DoublesJan Rothert / Gary Chin vs Roger Gwin / Cindy Rushall6-3, 6-1
W#2 DoublesVilath Oudomphong / Ashleigh Kayser vs Terri Bashkingy / Alan Jones3-6, 6-4, 1-0
L#3 DoublesEd Schwartz / Susan Snyder vs Jeremy Goodson / Michele Waite6-3, 6-0
2019-02-16Lost 0–2
L#1 DoublesTara Hendrickson / Gary Chin vs James Hockley / Michaela Bancud6-4, 7-6
L#2 DoublesJen Woods / Clint Benson vs James Ringelberg / Kim Stevens7-6, 6-4
2019-01-25Lost 0–3
L#1 DoublesGary Chin / Tara Hendrickson vs Honorato Wenceslao / Donna Feuerherdt6-2, 6-2
L#2 DoublesTerence Gariety / Sherry Rogers vs Toni Kidd / Lance Campbell6-2, 4-6, 1-0
L#3 DoublesSteven Wilker / Libby North vs Catherine Crosby / Craig Hlady7-5, 3-6, 1-0
2019-01-20Split 1–1
L#1 DoublesAshleigh Kayser / Terence Gariety vs Denielle Edlund / David Pham6-4, 6-1
W#3 DoublesJen Woods / Steven Wilker vs Theresa Mullally / Hoover Li6-4, 6-0
2019-01-13Lost 0–2
L#1 DoublesClint Benson / Jan Rothert vs Kevin Muck / Pamela Buckley7-5, 6-4
L#2 DoublesSteven Wilker / Libby North vs Daniel Lamey / Julie Carmena7-6, 6-1
2019-01-12Lost 1–2
L#1 DoublesTerence Gariety / Sherry Rogers vs Rodger DeGeorge / Shari Levelle6-2, 7-6
L#2 DoublesClint Benson / Jan Rothert vs Assen Dinkov / Diane di Vito6-3, 6-4
W#3 DoublesGary Chin / Tara Hendrickson vs Mitchell Whitehurst / Julie Hansen3-6, 7-6, 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.

4
Libby North
51W–49L career
0%99%1%
3.78
4
Jan Rothert
39W–28L career
8%91%1%
3.70
4
Tara Hendrickson
71W–65L career
2%98%0%
3.70
3.5
Vilath Oudomphong
56W–32L career
0%95%5%
3.38
3.5
Terence Gariety
76W–80L career
0%98%2%
3.36
3.5
Ed Schwartz
31W–33L career
6%87%7%
3.29
3.5
Gary Chin
13W–25L career
not enough data
—
3.5
Ron Selis
20W–31L career
10%86%4%
3.23
0
Jen Woods
11W–7L 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.