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VTC-Won/Watkins

2024 Mixed 40 & Over · 7.0 Mixed

9 players · average NTRP 3.61 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.46 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.

3.66
Wes Schalk
usually #2 Doubles 60%, also #1 Doubles 20% · published 4
3.64
Joe Trachta
usually #3 Doubles 75%, also #2 Doubles 25% · published 4
3.64
Michael Won
usually #1 Doubles 57%, also #3 Doubles 43% · published 4
3.59
Mark Bernazzani
usually #2 Doubles 67%, also #1 Doubles 33% · published 3.5
3.58
Heather Watkins
usually #1 Doubles 50%, also #3 Doubles 33% · published 4
3.42
Karen Pickering
usually #2 Doubles 57%, also #1 Doubles 29% · published 3.5
3.35
Greg Mikol
usually #1 Doubles 80%, also #2 Doubles 20% · published 3.5
2.77
Alana Rhea
usually #1 Doubles 38%, also #2 Doubles 38% · published 3
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Anne Hamburg
usually #3 Doubles 100% · published 3
Results8 ties
2024-03-10Won 2–1
W#1 DoublesNatalya Ramras / Greg Mikol vs Martin von Haartman / Andrea Yao6-0, 6-3
W#2 DoublesSheri Nimmo / Wes Schalk vs WonKyu Kim / Ellen Hodges2-6, 6-2, 1-0
L#3 DoublesHeather Watkins / Matt Savage vs Aleli Siruno / Frank Ferschweiler6-4, 7-6
2024-03-03Won 2–0
W#1 DoublesKaren Pickering / Mark Bernazzani vs Ashley Sajadi / Kamran Sajadi6-0, 6-4
W#3 DoublesSheri Nimmo / Michael Won vs Rhonda Baker / Mike Baker1-6, 6-0, 1-0
2024-03-02Lost 0–3
L#1 DoublesJocelyn Smith / Michael Won vs David Hoiland / Lupine Swanson6-4, 6-3
L#2 DoublesKaren Pickering / Mark Bernazzani vs John Yu / Heike Droste6-1, 7-5
L#3 DoublesWes Schalk / Sheri Nimmo vs Anna Boyarshinova / Qiming Wang4-6, 6-4, 1-0
2024-02-25Won 2–1
W#1 DoublesGreg Mikol / Natalya Ramras vs Shawn Boyce / Andrea Yao3-6, 6-1, 1-0
W#2 DoublesMark Bernazzani / Karen Pickering vs Rajan Madhusudan / Ellen Hodges6-2, 6-1
L#3 DoublesJoe Trachta / Anne Hamburg vs Jill Boyce / Hoon Shin6-3, 6-1
2024-02-03Split 1–1
W#1 DoublesNatalya Ramras / Greg Mikol vs Chresten Gram / Barbara Gram7-5, 6-3
L#2 DoublesAlana Rhea / Joe Trachta vs Wenyan Li / Jing Feng6-2, 3-6, 1-0
2024-01-28Won 2–1
W#1 DoublesNatalya Ramras / Greg Mikol vs Robert Glenn / Valerie Neill6-1, 7-6
W#2 DoublesMatt Savage / Heather Watkins vs Steve Swan / Karin Owens6-3, 7-6
L#3 DoublesJoe Trachta / Anne Hamburg vs Megan McCarter / Ryan Owens6-2, 6-3
2024-01-20Won 3–0
W#1 DoublesJocelyn Smith / Michael Won vs Steve Swan / Valerie Neill6-4, 4-6, 1-0
W#2 DoublesKaren Pickering / Mark Bernazzani vs Doug Matheson / Elena Kochetkova6-1, 6-1
W#3 DoublesHeather Watkins / Matt Savage vs Robert Glenn / Trina Newcomb6-1, 7-6
2024-01-06Won 3–0
W#1 DoublesJocelyn Smith / Michael Won vs Aj Messer / Megan Finn6-2, 3-6, 1-0
W#2 DoublesNatalya Ramras / Greg Mikol vs Claire Adamsick / Adam Crosson7-6, 6-1
W#3 DoublesAlana Rhea / Joe Trachta vs Christina Melander / Dan de Leon6-4, 6-2
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
Joe Trachta
46W–40L career
7%93%0%
3.64
4
Michael Won
72W–73L career
6%94%0%
3.64
3.5
Mark Bernazzani
86W–38L career
0%55%45%
3.59
4
Heather Watkins
118W–97L career
14%86%0%
3.58
3.5
Karen Pickering
156W–123L career
0%95%5%
3.42
3.5
Greg Mikol
42W–26L career
0%97%3%
3.35
3
Alana Rhea
78W–88L career
0%99%0%
2.77
3
Anne Hamburg
7W–14L 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.