Teams

OC El Dorado -Susie

2022 SCTA Tri-Level 18 & Over - OC · OC Women - 3.0 - 3.5 - 4.0 Weekday

11 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 →
Schedule6 played
2022-09-30Lost 01
L#1 DoublesPeggy Knopf / Tricia Bregman vs Michelle Bachand / Laurette Jennings4-6, 3-6
2022-09-23Won 10
W#3 DoublesTricia Bregman / Susie Kim vs N/A6-0, 6-0
2022-09-17vs OC Great Park - TanLost 01
L#3 DoublesRebecca Schrock / Kathalena Cocker vs Kristen Petrovacki / Miyu Davis3-6, 1-6
2022-09-09vs OC LPC - Blanco/MouttapaLost 01
L#1 DoublesTricia Bregman / Peggy Knopf vs Kim O'Neil / Stacy Tzur1-6, 2-6
2022-08-26vs OC The Huntington Club - JoLost 01
L#1 DoublesPeggy Knopf / Kathalena Cocker vs Kelly Lombardo / Michelle Bachand1-6, 5-7
L#1 DoublesPeggy Knopf / Tricia Bregman vs Sabrina MacLachlan / Hina Khan0-6, 3-6
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 - 3.0 - 3.5 - 4.0 Weekday 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 3.28 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.

3.70
Susie Kim
published
3.40
Lesley Nishigawara
published
3.39
Tricia Bregman
usually #1 Doubles 75%, also #3 Doubles 25% · published 3.5
3.38
Allison Yabroff
published 3.5
3.31
Kathalena Cocker
usually #1 Doubles 50%, also #3 Doubles 50% · published 3.5
Carol Jacobs
published 3.5
Grace Mulligan
published 3.5
3.22
Peggy Knopf
published
3.02
Jin Ge
published
2.85
Sandi Goldstein
published
Kristin Powers
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.

Jin Ge + Lesley Nishigawara213 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 · no lines in 2022
6%93%1%
3.70
Lesley Nishigawara
30W–21L career · no lines in 2022
<1%78%22%
3.40
3.5
Tricia Bregman
114W–117L career · 4 lines in 2022
<1%81%19%
3.39
3.5
Allison Yabroff
3W–5L career · no lines in 2022
<1%82%18%
3.38
3.5
Kathalena Cocker
136W–140L career · 2 lines in 2022
1%91%8%
3.31
3.5
Carol Jacobs
0W–1L career · no lines in 2022
not enough data
3.5
Grace Mulligan
5W–5L career · no lines in 2022
not enough data
Peggy Knopf
16W–16L career · no lines in 2022
5%94%1%
3.22
Jin Ge
13W–22L career · no lines in 2022
44%56%<1%
3.02
Sandi Goldstein
1W–5L career · no lines in 2022
87%13%<1%
2.85
Kristin Powers
1W–0L 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.