Teams

VTC-Won/Watkins

2025 Mixed 40 & Over · 7.0 Mixed

10 players · average NTRP 3.5 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.31 estimated across 9 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.

3.66
Wes Schalk
usually #3 Doubles 57%, also #2 Doubles 29% · published 4
3.64
Michael Won
usually #2 Doubles 44%, also #3 Doubles 33% · published 4
3.58
Heather Watkins
usually #1 Doubles 67%, also #3 Doubles 33% · published 4
3.48
Duncan Sharkey
usually #1 Doubles 50%, also #2 Doubles 33% · published 3.5
3.42
Karen Pickering
usually #2 Doubles 50%, also #3 Doubles 50% · published 3.5
3.32
Puntrigar Suriyaseang
usually #1 Doubles 75%, also #2 Doubles 25% · published 3.5
Bob Towne
usually #2 Doubles 50%, also #3 Doubles 50% · published 3.5
2.99
Maryann Velez
usually #2 Doubles 50%, also #3 Doubles 50% · published 3
2.97
Christina Bergstrom
usually #2 Doubles 100% · published 3
2.77
Alana Rhea
usually #3 Doubles 100% · published 3
Results8 ties
2025-08-10Won 20
W#1 DoublesDuncan Sharkey / Puntrigar Suriyaseang vs James Takahashi / Lisa Hockman7-6, 6-4
W#3 DoublesWes Schalk / Bernice Zhang vs Chiharu Olsson / Eric Schniewind6-2, 6-2
2025-08-03Lost 03
L#1 DoublesKok Waii Wong / Puntrigar Suriyaseang vs Kathy Cook / Lamone Voravongseng6-3, 6-4
L#2 DoublesMichael Won / Christina Bergstrom vs Jeff Marshall / Laurence Dupray6-3, 6-1
L#3 DoublesWes Schalk / Alana Rhea vs Robert Broad / Josette Zervic6-3, 6-4
2025-07-27Split 11
L#1 DoublesDuncan Sharkey / Cheryl Hopkins vs TRIET NGUYEN / Vicki Mark6-2, 6-2
W#3 DoublesMatt Savage / Karen Pickering vs Jennifer Kuhr / Kevin Heller4-6, 6-0, 1-0
2025-07-26Won 30
W#1 DoublesDuncan Sharkey / Puntrigar Suriyaseang vs Mark Christensen / Nicolle Lochner6-1, 6-0
W#2 DoublesMichael Won / Christina Bergstrom vs Matthew Casimo / Kathleen Cooney6-2, 6-4
W#3 DoublesBob Towne / Cheryl Hopkins vs N/A6-0, 6-0
2025-07-12Won 20
W#1 DoublesHeather Watkins / Matt Savage vs Janet Ha / Hyungje Woo6-2, 7-6
W#2 DoublesPuntrigar Suriyaseang / Duncan Sharkey vs Mihye Ko / Jong Bum Park7-6, 2-6, 1-0
2025-06-28Lost 12
L#1 DoublesMichael Won / Bernice Zhang vs Andrea Kropp / Paul Barner7-6, 0-6, 1-0
W#2 DoublesKok Waii Wong / Karen Pickering vs Vicki Blunt / ALFREDO ALANIS6-2, 6-3
L#3 DoublesWes Schalk / Alana Rhea vs Kristi Vargas / Mark Muckerheide7-6, 5-7, 1-0
2025-06-22Lost 12
L#1 DoublesHeather Watkins / Matt Savage vs Ann Arp / Peter Singson6-2, 7-6
L#2 DoublesCheryl Hopkins / Bob Towne vs Thu Truong / Peter Farrelly6-3, 6-2
W#3 DoublesMichael Won / Maryann Velez vs Gabriela McIntosh / Tommy Albo7-6, 6-3
2025-06-14Won 21
W#1 DoublesMichael Won / Bernice Zhang vs Jen Lewis / Van Khieu2-6, 6-2, 1-0
L#2 DoublesWes Schalk / Maryann Velez vs Jopie van Hameren / Octavian Tudorache0-6, 7-6, 1-0
W#3 DoublesMatt Savage / Heather Watkins vs Heather MacPherson / Daniel Albrecht6-4, 1-6, 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
Wes Schalk
81W–65L career
5%95%0%
3.66
4
Michael Won
72W–73L career
6%94%0%
3.64
4
Heather Watkins
118W–97L career
14%86%0%
3.58
3.5
Duncan Sharkey
27W–16L career · type S
0%86%14%
3.48
3.5
Karen Pickering
156W–123L career
0%95%5%
3.42
3.5
Puntrigar Suriyaseang
33W–49L career
0%99%1%
3.32
3.5
Bob Towne
17W–28L career
not enough data
3
Maryann Velez
81W–49L career
0%83%17%
2.99
3
Christina Bergstrom
67W–50L career
0%76%24%
2.97
3
Alana Rhea
78W–88L career
0%99%0%
2.77

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.