Teams

Gould/Welles

2026 18&Over Women Queens · 3.5 Women

22 players · average NTRP 3.50 / METROPOLITAN REGION

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →
Schedule8 played
2026-07-09vs Lam/ChangWon 31
L#1 DoublesGrace de Fries / Therese Stowell vs Sarina Shahmoon-Kleinman / Grace Liu4-6, 2-6
W#1 SinglesMargaret Xu vs Susan Hu6-2, 6-2
W#2 SinglesKat Brown vs Christine Chan6-1, 6-0
W#3 DoublesJasmine Corona / Danielle Diniz vs N/A6-0, 6-0
2026-06-28vs Sasaki/Lake-JedzinakWon 32
W#1 DoublesSusan Zeigler / Therese Stowell vs Jacquelyn Lipson / Halina Pavels6-0, 6-3
L#1 SinglesAriel Stern vs Lea Glueck4-6, 6-4, 0-1
W#2 DoublesJeanne Straus / Rebecca Wehrle vs Giselle Leon / Elizabeth Signore7-6, 6-3
W#2 SinglesKat Brown vs Carina Bartozzi2-6, 6-2, 1-0
L#3 DoublesPatricia Gould / Elizabeth Gormley vs Jessica Sasaki / Justinne Lake-jedzinak2-6, 3-6
2026-06-25vs Maselbas/ChenWon 41
L#1 DoublesPatricia Gould / Katherine Whyte vs Lisa Bernstein / Cameron Suratt3-6, 2-6
W#1 SinglesAriel Stern vs Sarah Reiser6-4, 6-1
W#2 DoublesLing Zhang / Cathy Lewis vs Garcia Daley / Helen Xu6-4, 6-3
W#2 SinglesSusan Zeigler vs Sara Jenis6-2, 6-0
W#3 DoublesElizabeth Gormley / Alison Bonaviso vs Chih-Wei Chen / Meghan Dunn6-1, 6-3
2026-06-11vs Maselbas/ChenWon 32
W#1 DoublesAnnette Welles / Ling Zhang vs Leigh Flayton / Lisa Bernstein6-4, 6-3
L#1 SinglesAriel Stern vs Lauren Berke5-7, 4-5
L#2 DoublesKimberly Mark / Alison Bonaviso vs Sara Jenis / Sarah Reiser3-6, 5-7
W#2 SinglesPam Widener vs Susan Paxton6-3, 4-5
W#3 DoublesSusan Zeigler / Rebecca Wehrle vs Elizabeth Clark / Meghan Dunn6-2, 6-2
2026-06-01vs Queens: HealyLost 13
L#1 DoublesAnnette Welles / Theresa Fisher vs Adina Oditt / Anu Alalade2-6, 5-7
L#1 SinglesSusan Choung vs Dunja Froman3-6, 2-6
W#2 SinglesPam Widener vs Shannon Becker7-5, 6-0
L#3 DoublesPatricia Gould / Cathy Lewis vs Catharine Croce / Kim-Ly Moynihan2-6, 4-6
2026-05-28vs Lam/ChangSplit 22
W#1 DoublesAnnette Welles / Theresa Fisher vs Bianca Lee / Tran Lam6-2, 6-3
W#2 DoublesSusan Choung / Katherine Whyte vs Mindy Luong / Christina Tan6-4, 1-6, 1-0
L#2 SinglesJasmine Corona vs Claire Chang1-6, 1-6
L#3 DoublesElizabeth Gormley / Alison Bonaviso vs Jiyan Mao / Seongeun Tammy Lee6-4, 1-6, 0-1
2026-05-18vs Sasaki/Lake-JedzinakWon 31
W#1 SinglesAriel Stern vs Julien Li5-7, 6-2, 1-0
L#2 DoublesPatricia Gould / Pam Widener vs Carina Bartozzi / Jessica Sasaki3-6, 2-6
W#2 SinglesMargaret Xu vs Miriam Brunnwasser6-4, 6-3
W#3 DoublesElizabeth Gormley / Ling Zhang vs Diana Lee / Justinne Lake-jedzinak7-6, 6-1
2026-04-30vs Queens: HealyLost 13
W#1 DoublesAnnette Welles / Theresa Fisher vs Patrice Green / Anu Alalade6-3, 6-3
L#1 SinglesPam Widener vs Dunja Froman4-6, 1-6
L#2 DoublesGrace de Fries / Rebecca Wehrle vs Adina Oditt / Rosalyn Beswick2-6, 4-6
L#3 DoublesPatricia Gould / Jeanne Straus vs Valsey Bartley / Caroline Lewis1-6, 0-6
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.

Flight standings for 3.5 Women have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

ScoutingWhere each opponent usually plays

Signed-in extra: whether this captain plays strict strength order or mixes it up, from every doubles line they have put out. Create a free account to see it.

Roster averages 3.26 estimated across 21 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.

3.67
Annette Welles
usually #1 Doubles 57%, also #3 Doubles 29% · published 3.5
3.45
Pam Widener
usually #2 Singles 56%, also #1 Singles 33% · published 3.5
3.38
Therese Stowell
published
3.36
Grace de Fries
usually #2 Doubles 50%, also #1 Doubles 50% · published 3.5
3.35
Ariel Stern
usually #1 Singles 100% · published 3.5
3.35
Susan Choung
usually #1 Singles 67%, also #2 Doubles 33% · published 3.5
3.33
Susan Zeigler
usually #3 Doubles 33%, also #2 Singles 33% · published 3.5
3.29
Natasha Caronna
published
3.29
Katherine Whyte
usually #2 Doubles 50%, also #1 Doubles 50% · published 3.5
3.27
Theresa Fisher
published
3.27
Ling Zhang
usually #1 Doubles 50%, also #2 Doubles 50% · published
3.22
Rebecca Wehrle
usually #2 Doubles 67%, also #3 Doubles 33% · published 3.5
3.22
Elizabeth Gormley
usually #3 Doubles 100% · published 3.5
3.21
Cathy Lewis
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
3.19
Kimberly Mark
usually #2 Doubles 100% · published
3.17
Kat Brown
usually #2 Singles 100% · published 3.5
3.15
Jeanne Straus
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
3.14
Alison Bonaviso
usually #2 Doubles 50%, also #3 Doubles 33% · published 3.5
3.13
Margaret Xu
usually #2 Singles 50%, also #3 Doubles 17% · published 3.5
3.08
Jasmine Corona
usually #2 Singles 50%, also #3 Doubles 50% · published
3.01
Patricia Gould
usually #3 Doubles 71%, also #2 Doubles 14% · published 3.5
Jasmine Barr
published
Established pairs

Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.

Annette Welles + Ling Zhang5071% games+14.3% vs expected
Annette Welles + Theresa Fisher24860% games+8.7% vs expected
Grace de Fries + Therese Stowell8163% games+8.2% vs expected
Grace de Fries + Katherine Whyte6361% games+8.1% vs expected
Patricia Gould + Pam Widener5354% games+0.4% vs expected
Grace de Fries + Rebecca Wehrle3248% games+0.4% vs expected
Jasmine Barr + Natasha Caronna15756% games−1.7% vs expected
Susan Zeigler + Patricia Gould2552% games−2.1% vs expected
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. Lines played in this team’s season are shown beside each name.

3.5
Annette Welles
132W–80L career · 7 lines in 2026
<1%12%88%
3.67
3.5
Pam Widener
112W–84L career · 9 lines in 2026
<1%64%36%
3.45
Therese Stowell
26W–6L career · no lines in 2026
<1%80%20%
3.38
3.5
Grace de Fries
141W–129L career · 2 lines in 2026
<1%83%16%
3.36
3.5
Ariel Stern
8W–3L career · 4 lines in 2026
1%85%15%
3.35
3.5
Susan Choung
121W–84L career · 3 lines in 2026
1%85%14%
3.35
3.5
Susan Zeigler
92W–90L career · 3 lines in 2026
1%88%11%
3.33
Natasha Caronna
30W–12L career · no lines in 2026
2%91%7%
3.29
3.5
Katherine Whyte
71W–60L career · 2 lines in 2026
2%91%7%
3.29
Theresa Fisher
39W–22L career · no lines in 2026
3%92%5%
3.27
Ling Zhang
68W–19L career · 2 lines in 2026
<1%3%97%
3.27
3.5
Rebecca Wehrle
100W–117L career · 3 lines in 2026
6%92%2%
3.22
3.5
Elizabeth Gormley
89W–44L career · 4 lines in 2026
6%92%2%
3.22
3.5
Cathy Lewis
33W–38L career · 2 lines in 2026
7%91%2%
3.21
Kimberly Mark
30W–29L career · 1 line in 2026
9%89%1%
3.19
3.5
Kat Brown
102W–136L career · 2 lines in 2026
12%87%1%
3.17
3.5
Jeanne Straus
102W–82L career · 2 lines in 2026
14%85%1%
3.15
3.5
Alison Bonaviso
89W–78L career · 6 lines in 2026
17%83%<1%
3.14
3.5
Margaret Xu
72W–53L career · 6 lines in 2026
18%82%<1%
3.13
Jasmine Corona
4W–4L career · 2 lines in 2026
28%72%<1%
3.08
3.5
Patricia Gould
111W–152L career · 7 lines in 2026
48%52%<1%
3.01
Jasmine Barr
21W–7L career · no lines in 2026
not enough data

Three percentages are where each player stands right now: the chance they are below their band, inside it, or above it, on the way they are playing this season. The number on the right is our estimated dynamic rating, which USTA never publishes. This is today rather than a forecast of December, because a forecast has to assume future matches and cannot know whether someone will even be offered them. 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.

Not affiliated with or endorsed by the USTA. Ratings labelled as published are USTA year-end figures; anything we describe as an estimate is ours, not USTA’s. Match data is from USTA TennisLink.