Teams

IRV-Griffin/Naugler

2022 Mixed 40 & Over · 8.0 Mixed

9 players · average NTRP 4 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.69 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.

4.07
Deborah Naugler
usually #2 Doubles 60%, also #3 Doubles 40% · published 4.5
3.98
Rebecca Martinez Griffin
usually #3 Doubles 60%, also #2 Doubles 20% · published 4.5
3.89
Mark King
usually #2 Doubles 60%, also #3 Doubles 40% · published 4
3.78
Libby North
usually #2 Doubles 67%, also #3 Doubles 33% · published 4
3.70
Tara Hendrickson
usually #1 Doubles 56%, also #2 Doubles 22% · published 4
3.70
Brian Hendrickson
usually #1 Doubles 100% · published 4
3.23
Ron Selis
usually #3 Doubles 67%, also #1 Doubles 33% · published 3.5
3.14
Blythe Knott
usually #1 Doubles 50%, also #2 Doubles 25% · published 3.5
Jeff Capen
usually #2 Doubles 50%, also #1 Doubles 25% · published 0
Results8 ties
2022-03-19Lost 02
L#1 DoublesRon Selis / Tara Hendrickson vs Aleli Siruno / NANDA SIDDAIAH3-6, 6-3, 1-0
L#2 DoublesJeff Capen / Deborah Naugler vs Anita Rockwell / Steve Vanderploeg6-4, 6-1
2022-02-27Split 11
L#1 DoublesBrian Hendrickson / Tara Hendrickson vs Michi VanGrunsven / Larry Liu6-0, 6-4
W#3 DoublesRebecca Martinez Griffin / Mark King vs Shaoping Lin / Carol Chiu6-4, 3-6, 1-0
2022-02-19Lost 03
L#1 DoublesBrent Grubb / Rebecca Martinez Griffin vs Gregg Palmer / Shannon Roarke6-2, 7-6
L#2 DoublesMark King / Libby North vs Chinwoo Kim / Kristen Benkstein3-6, 6-2, 1-0
L#3 DoublesKeith Johnson / Blythe Knott vs Gabriel Weaver / Tao Hua6-3, 6-1
2022-01-30Lost 12
L#1 DoublesAshleigh Kayser / Brian Hendrickson vs Teresa Sullivan / Vimal Natarajan6-4, 7-6
L#2 DoublesMark King / Libby North vs Irena Ilcheva / Ajay Kumar Tippisetti4-6, 6-2, 1-0
W#3 DoublesJeff Capen / Deborah Naugler vs Diane Pittmon / Ashwani Gupta4-6, 6-4, 1-0
2022-01-23Won 21
L#1 DoublesTara Hendrickson / Jeff Capen vs James Ringelberg / Elizabeth Lilly6-2, 6-4
W#2 DoublesRebecca Martinez Griffin / Mark King vs Rudy Martinez / Shannon Bilstrom6-3, 7-5
W#3 DoublesBrent Grubb / Deborah Naugler vs Christopher Graham / Amanda Lowthian6-3, 6-2
2022-01-21Won 21
W#1 DoublesTara Hendrickson / Brian Hendrickson vs Neville Mehta / Kerstin Anderson7-6, 5-7, 1-0
L#2 DoublesBrent Grubb / Deborah Naugler vs Erika Finrow / Stefan Olander7-6, 6-4
W#3 DoublesRebecca Martinez Griffin / Ron Selis vs Jana Hirst / Michael Yee6-4, 6-1
2022-01-16Lost 02
L#1 DoublesTara Hendrickson / Brian Hendrickson vs Alix Edwards / Jon Monson6-2, 6-3
L#3 DoublesLibby North / Ron Selis vs Hector M Salomon / Shelly Perkins7-5, 6-3
2022-01-08Lost 02
L#2 DoublesDeborah Naugler / Jeff Capen vs Emily McBride / Kevin Oloughlin7-5, 7-5
L#3 DoublesRebecca Martinez Griffin / Mark King vs Ken Crowley / Kris Kelly-Koster7-6, 3-6, 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.

4.5
Deborah Naugler
98W–63L career
5%95%0%
4.07
4.5
Rebecca Martinez Griffin
96W–58L career
19%81%0%
3.98
4
Mark King
93W–55L career
0%97%3%
3.89
4
Libby North
51W–49L career
0%99%1%
3.78
4
Tara Hendrickson
71W–65L career
2%98%0%
3.70
4
Brian Hendrickson
23W–50L career
2%97%0%
3.70
3.5
Ron Selis
20W–31L career
10%86%4%
3.23
3.5
Blythe Knott
22W–48L career
11%89%0%
3.14
0
Jeff Capen
1W–3L 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.