Teams

Net Gains/Nandipati/San Francisco

2025 Tri-Level 3.0 · 3.5

10 players · average NTRP 4.00 / NO. CALIFORNIA

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Schedule3 played
W#1 DoublesEmily Steinglass / Annie Yang vs Angela Logan / Susan Aneja2-6, 6-4, 1-0
W#2 DoublesSirisha Nandipati / Christine Yeh vs Brigitte Shaw / Kathy Maratukulam6-3, 6-3
L#3 DoublesRobin Inaba / Sonal Patel vs Amber Golini / Valerie Epting0-6, 3-6
W#1 DoublesSurabhi Godbole / Lisa Kellman vs Anne Sullivan / Tina Skouras1-6, 6-4, 1-0
L#2 DoublesLily Tan / Christine Yeh vs Sara Crate / Laura Bradley7-6, 4-6, 1-0
W#3 DoublesMary Anderson / Tracie Luong vs Shannon Kruger / Dee Dee Littrell6-1, 6-1
2025-04-04vs Smash Sisters/Fischer/NapaWon 21
W#1 DoublesAnnie Yang / Surabhi Godbole vs Stacey Word / Stephanie Ross6-2, 2-6, 1-0
L#2 DoublesSirisha Nandipati / Amy Hsu vs Amanda DeBord / Eleanor Cooper4-6, 5-7
W#3 DoublesSonal Patel / Mary Anderson vs Kristi Kaiser / Kristi Sanders6-4, 6-1
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 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 3.44 estimated across 10 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
Surabhi Godbole
usually #1 Doubles 100% · published
3.76
Emily Steinglass
usually #1 Doubles 100% · published
3.72
Lily Tan
usually #2 Doubles 100% · published
3.64
Sirisha Nandipati
usually #2 Doubles 100% · published
3.53
Annie Yang
usually #1 Doubles 100% · published 4
3.50
Lisa Kellman
usually #1 Doubles 100% · published
3.33
Tracie Luong
usually #3 Doubles 100% · published
3.24
Mary Anderson
usually #3 Doubles 100% · published
3.09
Robin Inaba
usually #3 Doubles 100% · published
2.84
Sonal Patel
usually #3 Doubles 100% · 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.

Sonal Patel + Robin Inaba134 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.

Surabhi Godbole
9W–1L career · 2 lines in 2025
3%92%5%
3.77
Emily Steinglass
9W–2L career · 1 line in 2025
3%92%4%
3.76
Lily Tan
12W–4L career · 1 line in 2025
<1%6%94%
3.72
Sirisha Nandipati
18W–11L career · 2 lines in 2025
16%84%1%
3.64
4
Annie Yang
8W–7L career · 2 lines in 2025
41%59%<1%
3.53
Lisa Kellman
5W–0L career · 1 line in 2025
51%49%<1%
3.50
Tracie Luong
3W–2L career · 1 line in 2025
1%87%12%
3.33
Mary Anderson
25W–11L career · 2 lines in 2025
<1%4%96%
3.24
Robin Inaba
10W–14L career · 1 line in 2025
<1%26%74%
3.09
Sonal Patel
7W–13L career · 2 lines in 2025
1%86%13%
2.84

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.