Teams

PTC-Lee

2025 Adult 40 & Over · 3.5 Women

9 players · average NTRP 3.39 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.20 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.

3.73
Rachel Novak
usually #2 Doubles 50%, also #1 Doubles 25% · published 4
3.55
Cathleen Lang
usually #2 Doubles 67%, also #1 Doubles 33% · published 3.5
3.26
Gretchen Newcomb
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
Lyudmila Leissler
usually #1 Singles 100% · published 3.5
3.23
Linda Dallof
usually #1 Singles 86%, also #3 Doubles 14% · published 3.5
3.09
Candy Dann
usually #1 Doubles 67%, also #2 Doubles 33% · published 3.5
3.02
Michelle DeVaughn
usually #1 Doubles 75%, also #3 Doubles 25% · published 3
2.87
Kimbra Kasch
published 3
2.84
Karen Kraus
usually #2 Doubles 50%, also #3 Doubles 25% · published 3
Results8 ties
2025-03-16Won 21
L#1 DoublesKaren Kraus / Marjorie Saine vs Jane King Ayers / Kendra Rothert6-0, 6-0
W#1 SinglesLyudmila Leissler vs Garrene Mcgale6-1, 7-6
W#3 DoublesLinda Dallof / Rose Lee vs Susan Douglas / Jean Schnadig5-7, 6-4, 1-0
2025-03-14Lost 02
L#1 DoublesMichelle DeVaughn / Mary Priester vs Barbara Dusicka / Nancy Collins6-0, 6-1
L#1 SinglesLinda Dallof vs Xia Yuan6-4, 7-6
2025-02-22Lost 12
L#1 DoublesCathleen Lang / Michelle DeVaughn vs Michelle Zawadzki / Dana Nolan6-4, 7-6
W#1 SinglesLinda Dallof vs Julie LaMontagne6-4, 7-6
L#2 DoublesCandy Dann / Karen Kraus vs Char Riley / Kelly Norling6-4, 6-0
2025-02-16Won 21
W#1 DoublesMarjorie Saine / Michelle DeVaughn vs Sandra Ellis / Mary Jesse7-5, 6-3
W#1 SinglesLinda Dallof vs Thao Nguyen6-4, 6-0
L#2 DoublesCandy Dann / Elizabeth Kaufman vs Bernadette Lisac / Margo Yohner6-3, 7-6
2025-02-09Lost 12
L#1 DoublesCandy Dann / Rachel Novak vs Barbara Dusicka / Katherine McMillan1-6, 6-0, 1-0
L#1 SinglesLinda Dallof vs Xia Yuan6-4, 6-3
W#2 DoublesGretchen Newcomb / Karen Kraus vs Astrid Andreu / Dayna Jahnke-Corwin4-6, 6-1, 1-0
2025-02-02Lost 13
W#1 DoublesCandy Dann / Cathy Cervantez vs Sharr Stark / Jennifer Stevenson6-2, 6-1
L#1 SinglesLinda Dallof vs Jen Lawrence6-2, 6-2
L#2 DoublesCathleen Lang / Mary Priester vs Angie Cunningham / Julie Kafoury6-3, 6-3
L#3 DoublesKaren Kraus / Gretchen Newcomb vs Kathleen Cooney / Melissa Jacobs7-5, 7-5
2025-01-25Split 22
W#1 DoublesCandy Dann / Cathy Cervantez vs Ann Arp / Lauren Larsen6-4, 4-6, 1-0
L#1 SinglesLyudmila Leissler vs Christina Melander6-1, 6-1
W#2 DoublesRachel Novak / Cathleen Lang vs Fiona Tait / Elizabeth Schwarz6-2, 6-0
L#3 DoublesMichelle DeVaughn / Sarah Larson vs Megan Finn / Rachel Ritchie6-2, 6-0
2025-01-04Won 20
W#1 DoublesCandy Dann / Rachel Novak vs Dolores Corley / Jennifer Bayless6-3, 6-0
W#1 SinglesLinda Dallof vs Jill Boyce2-6, 6-2, 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
Rachel Novak
71W–39L career
1%98%0%
3.73
3.5
Cathleen Lang
67W–68L career
0%68%32%
3.55
3.5
Gretchen Newcomb
49W–70L career
1%99%0%
3.26
3.5
Lyudmila Leissler
69W–45L career
not enough data
3.5
Linda Dallof
53W–63L career · type A
1%99%0%
3.23
3.5
Candy Dann
6W–14L career
23%76%0%
3.09
3
Michelle DeVaughn
14W–39L career
0%68%32%
3.02
3
Kimbra Kasch
40W–45L career
0%97%3%
2.87
3
Karen Kraus
79W–102L career
0%97%2%
2.84

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.