Teams

MILLS COLLEGE 40AW4.0A

2023 ADULT 40&Over · Women's 4.0

15 players · average NTRP 4.00 / 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 3.67 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.

4.31
Noa Ramo-Larios
published
3.99
Candace Gee Koo
published 4
3.89
Caitlin Finnell
published 4.5
3.84
Nga Truong
published
3.82
Mika Tsuchiiwa
published
3.70
Lixia Lake
published
3.63
Nu Opapongpand
published
3.59
Sara Zhao
published
3.53
Alexis Fasteau
published 4
3.52
Sheila Kilty
published
3.48
Kelsey Krausen
published
3.45
Seleste Buriani
published
3.31
Marla Aufmuth
published
3.27
Susan Gabe
published 3.5
Latha Attari
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.

Nu Opapongpand + Candace Gee Koo4164% games+8.7% 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.

Noa Ramo-Larios
17W–13L career · no lines in 2023
1%90%9%
4.31
4
Candace Gee Koo
33W–17L career · no lines in 2023
<1%54%46%
3.99
4.5
Caitlin Finnell
3W–13L career · no lines in 2023
78%22%<1%
3.89
Nga Truong
4W–0L career · no lines in 2023
1%86%13%
3.84
Mika Tsuchiiwa
5W–12L career · no lines in 2023
90%10%<1%
3.82
Lixia Lake
8W–8L career · no lines in 2023
7%91%2%
3.70
Nu Opapongpand
9W–3L career · no lines in 2023
18%81%<1%
3.63
Sara Zhao
3W–7L career · no lines in 2023
26%74%<1%
3.59
4
Alexis Fasteau
3W–5L career · no lines in 2023
41%59%<1%
3.53
Sheila Kilty
5W–4L career · no lines in 2023
44%56%<1%
3.52
Kelsey Krausen
2W–3L career · no lines in 2023
56%44%<1%
3.48
Seleste Buriani
10W–6L career · no lines in 2023
65%35%<1%
3.45
Marla Aufmuth
15W–9L career · no lines in 2023
1%90%8%
3.31
3.5
Susan Gabe
11W–30L career · no lines in 2023
3%92%5%
3.27
Latha Attari
0W–1L 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.