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THPRD-Rolfe

2022 Mixed 40 & Over · 7.0 Mixed

10 players · average NTRP 3.4 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 2.98 estimated across 6 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.

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Derek Carlson
usually #2 Doubles 67%, also #3 Doubles 33% · published 4
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Tony Mattos
usually #1 Doubles 100% · published 4
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Alan Liang
usually #3 Doubles 100% · published 3.5
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Dean Waters
usually #3 Doubles 50%, also #2 Doubles 25% · published 3.5
3.25
Jing Feng
usually #3 Doubles 56%, also #1 Doubles 22% · published 3.5
3.21
Dayna Porter
usually #1 Doubles 100% · published 3.5
2.99
Winston Young
usually #2 Doubles 100% · published 3
2.95
Catherine Greenblatt
usually #3 Doubles 100% · published 3
2.81
Suki Birge
usually #2 Doubles 75%, also #3 Doubles 25% · published 3
2.67
Megan Clifford
usually #1 Doubles 67%, also #2 Doubles 33% · published 3
Results8 ties
2022-03-12Won 2–1
W#1 DoublesTony Mattos / Dayna Porter vs Gerald Chase / Joann Donahue6-2, 6-4
L#2 DoublesSundar Ramamurthy / Suki Birge vs Seth Yount / Christine Moran2-6, 6-4, 1-0
W#3 DoublesAlan Liang / Jing Feng vs Jim DeWeese / Rita DeWeese6-4, 6-1
2022-02-26Won 3–0
W#1 DoublesTony Mattos / Dayna Porter vs Tony Moreno / Christine Taylor7-5, 6-7, 1-0
W#2 DoublesSundar Ramamurthy / Suki Birge vs Karen Groenweghe / David Lee7-6, 6-2
W#3 DoublesDean Waters / Susan Rolfe vs Jeffrey Taylor / Lisa Wisthoff6-4, 7-5
2022-02-19Lost 0–2
L#1 DoublesSundar Ramamurthy / Megan Clifford vs Lei Zhu / Paritosh Saxena6-2, 7-6
L#3 DoublesJing Feng / Alan Liang vs Jian Xu / Sheldon Sun6-1, 6-4
2022-02-11Won 2–0
W#1 DoublesDean Waters / Dayna Porter vs Mike Olson / Nenette Olson6-2, 6-4
W#2 DoublesDerek Carlson / Megan Clifford vs Stephen Crook / Suzy Rylander7-5, 6-1
2022-02-05Won 2–1
W#1 DoublesTony Mattos / Dayna Porter vs Patrick Kirk / Lauren Smith7-6, 6-3
W#2 DoublesDean Waters / Susan Rolfe vs Simon Lofts / Catherine Lofts6-2, 2-0
L#3 DoublesPage Watts / Catherine Greenblatt vs Sumit Gupta / Tracey Hodgson5-7, 6-2, 1-0
2022-01-28Split 1–1
L#1 DoublesPage Watts / Jing Feng vs Michelle Beilstein / Jason Hyde6-3, 6-4
W#3 DoublesDerek Carlson / Suki Birge vs David Swanson / Julie Trujillo6-4, 6-3
2022-01-15Lost 1–2
W#1 DoublesTony Mattos / Susan Rolfe vs Quyen Wong / Michele Snyder4-6, 6-3, 1-0
L#2 DoublesWinston Young / Erin Doucet vs Martin Jeffrey Binns / Janine Wood6-1, 6-2
L#3 DoublesChris Blevins / Catherine Greenblatt vs Tami McAra / Steve Snyder6-2, 6-3
2022-01-08Won 2–1
W#1 DoublesTony Mattos / Dayna Porter vs Jeri Finn / Fenn Bourland7-5, 1-6, 1-0
L#2 DoublesDerek Carlson / Suki Birge vs Becky Holzman / John Magaddino6-3, 1-6, 1-0
W#3 DoublesDean Waters / Rochelle Pluymers vs Kayla Casebeer / Christian Casebeer7-5, 7-5
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
Derek Carlson
51W–24L career
not enough data
—
4
Tony Mattos
21W–12L career
not enough data
—
3.5
Alan Liang
28W–11L career
not enough data
—
3.5
Dean Waters
30W–42L career
not enough data
—
3.5
Jing Feng
113W–80L career
1%99%0%
3.25
3.5
Dayna Porter
81W–74L career
2%98%0%
3.21
3
Winston Young
57W–59L career
0%83%17%
2.99
3
Catherine Greenblatt
52W–81L career
0%88%12%
2.95
3
Suki Birge
61W–80L career
0%98%1%
2.81
3
Megan Clifford
65W–60L career
7%93%0%
2.67

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.