Teams

MILLS COLLEGE 18AW4.0A

2022 ADULT 18&Over · Women's 4.0

13 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 3.66 estimated across 12 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.

3.99
Candace Gee Koo
published 4
3.83
Mika Tsuchiiwa
published
3.79
Nga Truong
published
3.70
Lixia Lake
published
3.68
Sara Zhao
published
3.63
Nu Opapongpand
published
3.60
Erika Garell
published 4
3.57
Nancy Jing
published
3.57
Nicole Radlow
published
3.56
Alexis Fasteau
published 4
3.51
Kelsey Krausen
published
3.48
Seleste Buriani
published
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+8.4% vs expected
Nicole Radlow + Erika Garell1441% games−2.6% 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.

4
Candace Gee Koo
33W–17L career · no lines in 2022
<1%52%48%
3.99
Mika Tsuchiiwa
4W–12L career · no lines in 2022
90%10%<1%
3.83
Nga Truong
4W–0L career · no lines in 2022
1%93%6%
3.79
Lixia Lake
8W–8L career · no lines in 2022
6%93%1%
3.70
Sara Zhao
2W–7L career · no lines in 2022
8%91%1%
3.68
Nu Opapongpand
9W–3L career · no lines in 2022
15%85%<1%
3.63
4
Erika Garell
9W–15L career · no lines in 2022
22%78%<1%
3.60
Nancy Jing
2W–10L career · no lines in 2022
28%71%<1%
3.57
Nicole Radlow
5W–8L career · no lines in 2022
30%70%<1%
3.57
4
Alexis Fasteau
3W–5L career · no lines in 2022
33%67%<1%
3.56
Kelsey Krausen
2W–3L career · no lines in 2022
47%53%<1%
3.51
Seleste Buriani
10W–6L career · no lines in 2022
57%43%<1%
3.48
Latha Attari
0W–1L 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.