Teams

SGV TLTFC (SFV)-Huai/TLTC/SA or SU 2

2024 Team Singles Fall · SGV - Women 4.0

8 players · average NTRP 3.90 / SO.CALIFORNIA

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Schedule7 played
2024-11-16Won 10
W#2 SinglesNickie Huai vs Erin Leigh7-5, 6-2
W#2 SinglesNickie Huai vs Joanne Kim6-4, 6-2
L#1 SinglesNickie Huai vs Donna Shin2-6, 2-6
L#2 SinglesAparna Bhargava vs Umaa Rebbapragada4-6, 6-4, 0-1
W#1 SinglesNickie Huai vs Rachel Brereton6-3, 4-6, 1-0
L#2 SinglesJulie DeSanto vs Erin Leigh2-6, 1-6
L#2 SinglesJulie DeSanto vs Rebecca Stokes0-6, 3-6
W#3 SinglesSamira Sizdahkhani vs Elena Salinas7-5, 3-6, 1-0
W#2 SinglesNickie Huai vs Diana Rochford6-2, 4-6, 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.

Flight standings for SGV - Women 4.0 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 3.55 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.

3.77
Nickie Huai
usually #2 Singles 60%, also #1 Singles 40% · published 4
3.74
Sarah Brownstein
published
3.72
Samira Sizdahkhani
usually #3 Singles 100% · published 4
3.64
Aubrey Karr
published 4
3.62
Julie DeSanto
usually #2 Singles 100% · published 4
3.59
Schuyler Grant
published
3.25
Aparna Bhargava
usually #2 Singles 100% · published 3.5
3.05
Linda Abrams
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.

Aubrey Karr + Nickie Huai3444% games−8.7% vs expected
Julie DeSanto + Samira Sizdahkhani033 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
Nickie Huai
128W–72L career · 5 lines in 2024
3%92%5%
3.77
Sarah Brownstein
10W–8L career · no lines in 2024
5%92%3%
3.74
4
Samira Sizdahkhani
130W–82L career · 1 line in 2024
6%92%2%
3.72
4
Aubrey Karr
10W–14L career · no lines in 2024
16%84%1%
3.64
4
Julie DeSanto
23W–56L career · 2 lines in 2024
20%79%<1%
3.62
Schuyler Grant
5W–10L career · no lines in 2024
26%73%<1%
3.59
3.5
Aparna Bhargava
66W–94L career · 1 line in 2024
4%93%4%
3.25
Linda Abrams
1W–10L career · no lines in 2024
37%63%<1%
3.05

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.