Teams

OC Fullerton TC - Masako 10am

2024 SCTA Doubles 18 & Over - OC · OC Women WD - 3.5

15 players · average NTRP 3.50 / SO.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 →
Schedule1 played
2024-11-08vs OC Yorba Linda CC - MelissaSplit 11
W#1 DoublesNancy Bergman / KAORI MINAGI vs Nancy Phillipi / Joy Skillman7-6, 6-1
L#3 DoublesKeiko Jun / Azin Mirchi vs Candi Maher / Nancy Montez1-6, 6-2, 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 OC Women WD - 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 3.27 estimated across 13 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.

3.70
Susie Kim
usually #1 Doubles 80%, also #2 Doubles 20% · published
3.69
Lana Dalley
usually #1 Doubles 100% · published
3.69
Stacey Choi
usually #2 Doubles 75%, also #3 Doubles 25% · published
3.60
Nicole Festini
usually #1 Doubles 67%, also #2 Doubles 33% · published
3.53
Azin Mirchi
usually #3 Doubles 100% · published 4
3.47
KAORI MINAGI
usually #1 Doubles 100% · published
3.37
Keiko Jun
usually #3 Doubles 40%, also #1 Doubles 40% · published
3.36
Nancy Bergman
usually #1 Doubles 100% · published
3.12
Annette Tran
published 3.5
2.89
Robin Briggs
usually #3 Doubles 100% · published
2.85
Sandi Goldstein
published
2.77
Angela DeCuir
published 3
2.50
Karin Altonaga
usually #1 Doubles 50%, also #2 Doubles 50% · published
Larissa Tan
published
Masako Sato
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.

Nicole Festini + Stacey Choi10656% games+10.6% vs expected
Keiko Jun + Lana Dalley3449% games+5.1% vs expected
Nancy Bergman + Keiko Jun404 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.

Susie Kim
14W–7L career · 5 lines in 2024
6%93%1%
3.70
Lana Dalley
19W–11L career · 2 lines in 2024
7%92%1%
3.69
Stacey Choi
16W–14L career · 4 lines in 2024
8%92%1%
3.69
Nicole Festini
23W–13L career · 3 lines in 2024
<1%23%77%
3.60
4
Azin Mirchi
6W–9L career · 1 line in 2024
41%59%<1%
3.53
KAORI MINAGI
18W–4L career · 1 line in 2024
<1%59%41%
3.47
Keiko Jun
14W–11L career · 5 lines in 2024
<1%84%15%
3.37
Nancy Bergman
9W–6L career · 1 line in 2024
<1%86%13%
3.36
3.5
Annette Tran
1W–11L career · no lines in 2024
19%81%<1%
3.12
Robin Briggs
7W–11L career · 1 line in 2024
<1%81%19%
2.89
Sandi Goldstein
1W–5L career · no lines in 2024
87%13%<1%
2.85
3
Angela DeCuir
5W–4L career · no lines in 2024
2%94%4%
2.77
Karin Altonaga
4W–9L career · 2 lines in 2024
50%50%<1%
2.50
Larissa Tan
1W–2L career · no lines in 2024
not enough data
Masako Sato
0W–1L career · no lines in 2024
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.