Teams

GLTF/GOLDMAN TC 18AW3.5A

2022 ADULT 18&Over · Women's 3.5

17 players · average NTRP 3.50 / NO. CALIFORNIA

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 →

Flight standings for Women's 3.5 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 3.35 estimated across 15 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.

3.90
Claire Louie
published 4
3.56
Nancy Wu
published
3.56
Joni Fuse
published
3.52
Maria Vegas
published
3.44
Helen Yang
published 3.5
3.38
Grace Chan
published 3.5
3.32
Patty Nunez
published
3.31
Marla Lindsay
published
3.31
Daphne Zenk
published 3.5
Dana Stevenson
published 3.5
3.22
Tiffany Truong
published
3.20
Tammy Tran
published
3.19
Shan Bai
published
3.16
Deborah Zeitschel
published 3.5
3.15
Amy Clifford
published 3.5
3.09
Anny Hong
published 3
Suzanne Nick
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.

Amy Clifford + Deborah Zeitschel5649% games+0.5% vs expected
Marla Lindsay + Amy Clifford303 matchesnot enough data
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.

4
Claire Louie
9W–2L career · no lines in 2022
<1%79%21%
3.90
Nancy Wu
14W–10L career · no lines in 2022
32%67%<1%
3.56
Joni Fuse
12W–8L career · no lines in 2022
33%67%<1%
3.56
Maria Vegas
26W–35L career · no lines in 2022
44%55%<1%
3.52
3.5
Helen Yang
8W–7L career · no lines in 2022
<1%68%32%
3.44
3.5
Grace Chan
13W–5L career · no lines in 2022
<1%82%18%
3.38
Patty Nunez
9W–10L career · no lines in 2022
1%91%8%
3.32
Marla Lindsay
15W–13L career · no lines in 2022
1%92%7%
3.31
3.5
Daphne Zenk
15W–15L career · no lines in 2022
1%92%7%
3.31
3.5
Dana Stevenson
0W–2L career · no lines in 2022
not enough data
Tiffany Truong
5W–26L career · no lines in 2022
4%94%2%
3.22
Tammy Tran
8W–13L career · no lines in 2022
6%93%1%
3.20
Shan Bai
7W–11L career · no lines in 2022
7%92%1%
3.19
3.5
Deborah Zeitschel
11W–13L career · no lines in 2022
11%88%<1%
3.16
3.5
Amy Clifford
17W–16L career · no lines in 2022
12%88%<1%
3.15
3
Anny Hong
23W–11L career · no lines in 2022
<1%25%75%
3.09
Suzanne Nick
0W–3L career · no lines in 2022
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.