Teams

VTC-Rylander/Agee

2019 Adult 40 & Over · 3.5 Women

7 players · average NTRP 3.71 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.58 estimated across 5 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.

3.85
Carrie Willis
usually #2 Singles 50%, also #1 Singles 36% · published 4
3.77
Lorna Goth
usually #1 Doubles 67%, also #2 Doubles 33% · published 4
3.58
Hong Allen
usually #2 Doubles 50%, also #3 Doubles 25% · published 3.5
3.58
Heather Watkins
usually #1 Singles 50%, also #2 Singles 25% · published 4
Denise Dawkins
usually #2 Doubles 50%, also #1 Doubles 33% · published 3.5
Kim Hamlik
usually #3 Doubles 83%, also #2 Doubles 17% · published 3.5
3.15
Julie Gorecki
usually #2 Doubles 100% · published 3.5
Results8 ties
2019-06-30Lost 12
W#1 SinglesHeather Watkins vs Gretchen Dumestre6-2, 6-1
L#2 DoublesDenise Dawkins / Kim Hamlik vs Barbara Hart / Tara Baumann7-5, 3-6, 1-0
L#2 SinglesCarrie Willis vs Holly H Jennings6-3, 6-0
2019-06-21Won 31
W#1 SinglesCarrie Willis vs Maryam Farinola6-2, 7-6
W#2 DoublesTrylla Lembke / Lorna Goth vs Judy Potts / Caryn Cohen6-3, 6-2
L#2 SinglesHeather Watkins vs JANE LENG6-4
W#3 DoublesKim Hamlik / JULIE ANDREWS vs Toni Eastwood / Eunhee Heller6-3, 3-6, 1-0
2019-06-08Lost 12
L#1 DoublesHong Allen / Stephanie Jones vs Courtney Storrs / Sarah Yu6-4, 2-6, 1-0
L#2 DoublesJULIE ANDREWS / Julie Gorecki vs Christy Strange / Leah Buxman6-3, 6-1
W#2 SinglesHeather Watkins vs Sara van Beckum6-4, 6-3
2019-06-01Lost 02
L#1 SinglesHeather Watkins vs Jeanette Thomas3-6, 6-4, 1-0
L#2 DoublesStephanie Jones / Hong Allen vs Susie Jansky / Rico McIver6-4, 4-6, 1-0
2019-05-05Won 40
W#1 DoublesDenise Dawkins / Suzy Rylander vs Amelia Moore / Heather Zadow6-1, 6-2
W#1 SinglesCarrie Willis vs Gretchen Dumestre6-4, 6-1
W#2 DoublesHeather Watkins / JULIE ANDREWS vs Sonia Bouchard / Nicole Vedder6-2, 6-2
W#3 DoublesCarol Adams / Kim Hamlik vs Barbara Streeter / Lillian Lee6-1, 6-0
2019-04-27Won 31
W#1 DoublesCarol Adams / Lorna Goth vs Seungja Shin / Aleli Siruno4-6, 6-3, 1-0
W#1 SinglesHeather Watkins vs Lori Hamilton6-4, 6-3
L#2 DoublesJULIE ANDREWS / Hong Allen vs Mary Marsh / Kristie Leake6-1, 6-3
W#2 SinglesCarrie Willis vs Anne Brandenburger6-4, 6-4
2019-04-26Won 30
W#1 DoublesLorna Goth / Suzy Rylander vs Shari Carver / Colleen Golden6-3, 6-0
W#1 SinglesHeather Watkins vs Deanna McKay6-4, 6-3
W#2 SinglesCarrie Willis vs Chikako Hokanson6-1, 6-2
2019-04-20Won 50
W#1 DoublesTrylla Lembke / Denise Dawkins vs Toni Eastwood / Susan Eldridge6-2, 7-5
W#1 SinglesCarrie Willis vs JANE LENG6-0, 6-0
W#2 DoublesJulie Gorecki / Louanne Fuller vs Laura Greenberg / Angela Addington6-1, 6-4
W#2 SinglesHeather Watkins vs Maryam Farinola6-3, 6-3
W#3 DoublesHong Allen / JULIE ANDREWS vs Debbie Taylor / Christine Matson6-2, 6-7, 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
Carrie Willis
121W–52L career
0%97%3%
3.85
4
Lorna Goth
124W–51L career
1%99%0%
3.77
3.5
Hong Allen
39W–50L career
0%58%42%
3.58
4
Heather Watkins
118W–97L career
14%86%0%
3.58
3.5
Denise Dawkins
59W–54L career
not enough data
3.5
Kim Hamlik
24W–44L career
not enough data
3.5
Julie Gorecki
33W–22L career
11%89%0%
3.15

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.