Teams

VTC-Mills

2025 Adult 55 & Over · 7.0 Women

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

View scouting list →
Scouting

Roster averages 3.26 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.

3.77
Lorna Goth
usually #1 Doubles 55%, also #2 Doubles 46% · published 4
3.42
Karen Pickering
usually #2 Doubles 38%, also #1 Doubles 38% · published 3.5
3.28
Lynne Nieda
usually #2 Doubles 56%, also #3 Doubles 33% · published 3.5
3.24
Janet Mills
usually #2 Doubles 50%, also #3 Doubles 38% · published 3.5
3.21
Dayna Porter
usually #1 Doubles 50%, also #3 Doubles 33% · published 3.5
3.18
Kelley Gaylor
usually #2 Doubles 50%, also #3 Doubles 38% · published 3.5
3.16
Annie Sumpter
usually #3 Doubles 100% · published 3.5
3.15
Julie Gorecki
usually #2 Doubles 100% · published 3.5
2.98
Nancy Salisbury
usually #3 Doubles 50%, also #2 Doubles 50% · published 3
Results8 ties
2024-11-23Won 20
W#1 DoublesTrylla Lembke / Lorna Goth vs Anne Fernando / Cullen Ware6-0, 6-3
W#2 DoublesJanet Mills / Lynne Nieda vs Lisa Schaller / Deborah Rhoades6-3, 6-0
2024-11-09Lost 12
L#1 DoublesRochelle Pluymers / Karen Pickering vs Chris van Leeuwen / Robin Welter6-3, 4-6, 1-0
W#2 DoublesKelley Gaylor / Lorna Goth vs Nicole Vedder / Betty Trubo6-2, 6-3
L#3 DoublesJanet Mills / Lynne Nieda vs Melanie DeSilva / Patricia Eargle6-4, 7-5
2024-11-01Won 21
W#1 DoublesKaren Pickering / Dayna Porter vs Wendy Weddle / Laurie Sykes6-2, 6-1
L#2 DoublesJanet Mills / Nancy Salisbury vs Traci Laurent / Kelly Norling6-4, 6-4
W#3 DoublesKelley Gaylor / Trylla Lembke vs Kathy Cooke / Colleen Walker6-2, 6-1
2024-10-20Split 11
W#1 DoublesRochelle Pluymers / Lorna Goth vs Judi Babcock / Karen McNairy6-3, 6-4
L#2 DoublesLynne Nieda / Nancy Salisbury vs Mary Lowblad / Heike Droste6-1, 6-2
2024-10-18Won 20
W#1 DoublesLorna Goth / Karen Pickering vs Shirley Derby / Julie Arness4-6, 6-1, 1-0
W#3 DoublesLynne Nieda / Nancy Salisbury vs Judith Brauer / Nancy McCoy6-0, 6-1
2024-10-04Won 21
W#1 DoublesKelley Gaylor / Lynne Nieda vs Peg McClendon / Anne Milan6-2, 6-1
W#2 DoublesLorna Goth / Karen Pickering vs Corinne Stewart / Sue Griffith6-0, 6-0
L#3 DoublesAnnie Sumpter / Nancy Salisbury vs Judy Hamilton / Betty Grant6-3, 6-3
2024-09-29Lost 02
L#1 DoublesJanet Mills / Trylla Lembke vs Lynn Moore / Judy van Gasse6-4, 6-3
L#2 DoublesJulie Gorecki / Kelley Gaylor vs Wendy Nakatani / Kristin Bialobok6-2, 3-6, 1-0
2024-09-15Won 21
W#1 DoublesDayna Porter / Rochelle Pluymers vs Chris van Leeuwen / Katherine Farrell6-2, 7-6
L#2 DoublesJulie Gorecki / Kelley Gaylor vs Mary Hlady / Melanie DeSilva7-5, 6-2
W#3 DoublesJanet Mills / Trylla Lembke vs Robin Welter / Patricia Eargle6-4, 2-6, 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
Lorna Goth
124W–51L career
1%99%0%
3.77
3.5
Karen Pickering
156W–123L career
0%95%5%
3.42
3.5
Lynne Nieda
62W–51L career
1%99%0%
3.28
3.5
Janet Mills
66W–75L career
1%99%0%
3.24
3.5
Dayna Porter
81W–74L career
2%98%0%
3.21
3.5
Kelley Gaylor
68W–64L career
10%89%1%
3.18
3.5
Annie Sumpter
22W–43L career
6%94%0%
3.16
3.5
Julie Gorecki
33W–22L career
11%89%0%
3.15
3
Nancy Salisbury
58W–46L career
0%82%18%
2.98

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.