← Teams

VTC-Watkins

2021 Mixed 40 & Over · 7.0 Mixed

11 players · average NTRP 3.64 · USTA/PACIFIC NW / NORTHERN OREGON

View scouting list →
Scouting

Roster averages 3.42 estimated across 10 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 50%, also #2 Doubles 50% · published 4
3.64
Michael Won
usually #3 Doubles 43%, also #1 Doubles 29% · published 4
3.59
Mark Bernazzani
usually #2 Doubles 50%, also #1 Doubles 50% · published 3.5
3.58
Heather Watkins
usually #1 Doubles 88%, also #2 Doubles 13% · published 4
3.56
JT Smith
usually #1 Doubles 100% · published 4
3.42
Karen Pickering
usually #3 Doubles 60%, also #2 Doubles 20% · published 3.5
3.32
John Hapke
usually #3 Doubles 100% · published 3.5
—
Queenie Hapke
usually #3 Doubles 100% · published 3.5
3.25
Wei Pan
published 3.5
3.24
Janet Mills
usually #1 Doubles 100% · published 3.5
2.97
Christina Bergstrom
usually #2 Doubles 50%, also #1 Doubles 33% · published 3
Results6 ties
2021-05-09Lost 1–2
L#1 DoublesKaren Pickering / Mark Bernazzani vs Fenn Bourland / Dana McKillop7-6, 6-2
L#2 DoublesChristina Bergstrom / Michael Won vs Christy Buckman / Frederick Buckman6-2, 2-6, 1-0
W#3 DoublesQueenie Hapke / John Hapke vs Nicolle Lochner / Jeff Cronn7-5, 6-2
2021-04-17Won 2–1
L#1 DoublesHeather Watkins / Matt Savage vs Jennie Brawn / Christopher Shaw6-3, 6-1
W#2 DoublesWei Pan / Karen Pickering vs Rick Davis / Paula Jacobson2-6, 6-3, 1-0
W#3 DoublesQueenie Hapke / John Hapke vs Kathy Ramsey / Anthony Guzzi6-3, 6-4
2021-04-16Lost 0–3
L#1 DoublesJanet Mills / Michael Won vs Mary Klinger / William Allers6-3, 6-3
L#2 DoublesCheryl Hopkins / Wes Schalk vs Michele Sutherland / Jason Moore-Greenke6-3, 6-1
L#3 DoublesQueenie Hapke / John Hapke vs Elizabeth Schwarz / Michael Arellano6-3, 6-3
2021-04-10Won 3–0
W#1 DoublesHeather Watkins / JT Smith vs Vivian Nguyen / Craig Putnam6-3, 2-6, 1-0
W#2 DoublesCheryl Hopkins / Mark Bernazzani vs John Yu / Jackie Konen4-6, 7-6, 1-0
W#3 DoublesKaren Pickering / Wei Pan vs Colin Looi / Angie Lee7-5, 3-6, 1-0
2021-04-03Lost 0–3
L#1 DoublesHeather Watkins / JT Smith vs Honorato Wenceslao / Wanda Ng6-1, 7-5
L#2 DoublesMichael Won / Christina Bergstrom vs Hoover Li / Aleli Siruno6-2, 6-3
L#3 DoublesKaren Pickering / Wei Pan vs Matt Thayer / Patty Chen6-7, 6-2, 1-0
2021-03-19Won 2–1
L#1 DoublesMichael Won / Janet Mills vs Dan Tracy / Rebecca McMasters6-2, 7-6
W#2 DoublesHeather Watkins / Matt Savage vs Nancy Korenek-Leveque / Sam Lumetta3-6, 6-4, 1-0
W#3 DoublesWes Schalk / Karen Pickering vs Shella Razon-Lumetta / Troy Johnston7-5, 6-3
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
3.5
Mark Bernazzani
86W–38L career
0%55%45%
3.59
4
Heather Watkins
118W–97L career
14%86%0%
3.58
4
JT Smith
83W–90L career
20%80%0%
3.56
3.5
Karen Pickering
156W–123L career
0%95%5%
3.42
3.5
John Hapke
81W–77L career
0%97%2%
3.32
3.5
Queenie Hapke
26W–31L career
not enough data
—
3.5
Wei Pan
18W–23L career · type M
2%97%1%
3.25
3.5
Janet Mills
66W–75L career
1%99%0%
3.24
3
Christina Bergstrom
67W–50L career
0%76%24%
2.97

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.