Teams

SANTA CLARA TC/SANTA CLARA TENNIS C 40AW4.0A

2023 ADULT 40&Over · Women's 4.0

16 players · average NTRP 3.62 / 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 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 3.45 estimated across 14 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.

3.73
Unjin Choi
published
3.65
Maya Grosul
published
3.64
Lin Vong
published
3.57
Pegah Seddighian
published
3.55
Carrie P Bell
published 4
3.52
Ellen Hilbrich
published
3.46
Rita Sandhu
published
3.43
3.39
Valerie Lau
usually #1 Doubles 100% · published 3.5
3.38
Cecilia Santillanes
published 3.5
3.38
Pari Pham
published
3.26
Veronica Sanchez
published
3.22
Deborah Hao
published 3.5
3.19
Volga B Calvello
published
Katie Kyeonghwa Lee
published
Mimi Ngo
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.

Veronica Sanchez + Volga B Calvello303 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.

Unjin Choi
13W–12L career · no lines in 2023
5%92%3%
3.73
Maya Grosul
7W–17L career · no lines in 2023
15%84%1%
3.65
Lin Vong
4W–7L career · no lines in 2023
16%83%<1%
3.64
Pegah Seddighian
11W–13L career · no lines in 2023
30%70%<1%
3.57
4
Carrie P Bell
2W–5L career · no lines in 2023
35%65%<1%
3.55
Ellen Hilbrich
13W–7L career · no lines in 2023
46%54%<1%
3.52
Rita Sandhu
19W–21L career · no lines in 2023
62%38%<1%
3.46
Elizaveta Cherepanova
10W–12L career · no lines in 2023
<1%69%31%
3.43
3.5
Valerie Lau
57W–33L career · 2 lines in 2023
<1%78%22%
3.39
3.5
Cecilia Santillanes
4W–1L career · no lines in 2023
<1%80%20%
3.38
Pari Pham
8W–12L career · no lines in 2023
<1%80%20%
3.38
Veronica Sanchez
11W–20L career · no lines in 2023
3%93%4%
3.26
3.5
Deborah Hao
10W–25L career · no lines in 2023
6%92%2%
3.22
Volga B Calvello
15W–29L career · no lines in 2023
8%90%1%
3.19
Katie Kyeonghwa Lee
1W–3L career · no lines in 2023
not enough data
Mimi Ngo
2W–2L career · no lines in 2023
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.