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PTC-White

2021 Mixed 18 & Over · 7.0 Mixed

11 players · average NTRP 3.77 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.50 estimated across 11 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.

3.98
Michele Sutherland
usually #2 Doubles 50%, also #1 Doubles 33% · published 4
3.80
Nate Larsen
published 4
3.70
Mary Klinger
usually #3 Doubles 38%, also #1 Doubles 38% · published 4
3.65
Scott Reis
usually #2 Doubles 60%, also #3 Doubles 20% · published 3.5
3.59
Ariana White
usually #1 Doubles 56%, also #2 Doubles 44% · published 4
3.54
Jason Moore-Greenke
usually #3 Doubles 100% · published 4
3.47
John Jay
usually #1 Doubles 67%, also #2 Doubles 33% · published 4
3.33
Lauren Larsen
usually #3 Doubles 100% · published 3.5
3.24
Kimberly Parks
usually #3 Doubles 33%, also #1 Doubles 33% · published 3.5
3.15
William Allers
usually #2 Doubles 50%, also #1 Doubles 50% · published 3.5
3.07
Elizabeth Schwarz
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
Results6 ties
2020-11-08Won 2–1
W#1 DoublesAriana White / John Jay vs KEELEY PLOMBON / ANTHONY PEPE6-1, 6-7
L#2 DoublesMichele Sutherland / Scott Reis vs Danielle Cuenco / Frank Mathews6-3, 6-3
W#3 DoublesLauren Larsen / Nate Larsen vs Joy Meyers / Jered Cuenco6-4, 6-1
2020-10-18Lost 1–2
W#1 DoublesScott Reis / Michele Sutherland vs Darreon Day / Madeleine Maier6-3, 6-3
L#2 DoublesKimberly Parks / Kevin Lennox vs Duy Nguyen / Anh Nguyen5-7, 6-3, 1-0
L#3 DoublesJason Moore-Greenke / Debbie Wager vs Tarynn Berkman / Arun Vijayakumar6-0, 4-6, 1-0
2020-10-11Lost 0–3
L#1 DoublesZac Carlson / Kimberly Parks vs Amy Bucher / Nick Hooker6-1, 6-1
L#2 DoublesAriana White / Nate Larsen vs Tarynn Berkman / Arun Vijayakumar6-4, 6-3
L#3 DoublesDebbie Wager / Jason Moore-Greenke vs Sarah Ferrer / Dylan Wile6-2, 7-5
2020-10-04Won 3–0
W#1 DoublesMary Klinger / William Allers vs Hailey Swisher / Adam Oken5-7, 6-4, 1-0
W#2 DoublesElizabeth Schwarz / John Jay vs Ellen Pearson / Jordan Keomanivanh6-3, 6-4
W#3 DoublesLauren Larsen / Nate Larsen vs Celene Robert / Page Watts6-1, 6-2
2020-10-03Won 3–0
W#1 DoublesAriana White / Nate Larsen vs Erin Doucet / Joel Nelson7-6, 6-3
W#2 DoublesMichele Sutherland / Scott Reis vs Suki Birge / Ryan Yokoyama6-1, 6-3
W#3 DoublesElizabeth Schwarz / Zac Carlson vs Jan Funkhouser / Dale Christensen6-2, 6-1
2020-09-18Won 2–1
L#1 DoublesAriana White / John Jay vs Paritosh Saxena / Lei Zhu2-6, 7-5, 1-0
W#2 DoublesMary Klinger / William Allers vs Cassia Carpio / Yogesh Patel2-6, 7-5, 1-0
W#3 DoublesKimberly Parks / Kevin Lennox vs Seungja Shin / WonKyu Kim4-6, 7-5, 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
Michele Sutherland
332W–175L career
0%87%13%
3.98
4
Nate Larsen
27W–11L career
0%99%1%
3.80
4
Mary Klinger
221W–142L career
2%98%0%
3.70
3.5
Scott Reis
56W–58L career
0%39%61%
3.65
4
Ariana White
177W–86L career
14%86%0%
3.59
4
Jason Moore-Greenke
71W–74L career
22%78%0%
3.54
4
John Jay
39W–24L career
43%57%0%
3.47
3.5
Lauren Larsen
81W–48L career
0%98%2%
3.33
3.5
Kimberly Parks
92W–90L career
1%98%0%
3.24
3.5
William Allers
83W–67L career
7%93%0%
3.15
3.5
Elizabeth Schwarz
49W–46L career
17%83%0%
3.07

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.