Teams

SDNC 4.0 Santa's 'Swingers' @S&T/ Applebaum

2022 So Cal Fall Doubles - SDNC · SDNC Women 4.0 Holiday W

10 players · average NTRP 3.90 / SAN DIEGO

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 →
Schedule7 played
2022-12-09vs SDNC LLW 4.0 Sleigh It/ FitzgeraldLost 01
L#2 DoublesNan Kim / Shelly Donnelly vs Janene Christopher / MinhTam Flynn5-7, 5-7
L#1 DoublesDanielle Morales / Holly Hansen vs Michelle Bilski / Erin Holl6-4, 5-7, 0-1
2022-12-02vs SDNC LLW 4.0 Sleigh It/ FitzgeraldLost 01
L#3 DoublesVicki Fitzgerald / Holly Hansen vs Terri Bourne / Maria Ward2-6, 3-6
L#1 DoublesNan Kim / Holly Hansen vs Sheri Ortiz / Jamie Neppl6-7, 5-7
L#3 DoublesRachel Audette / Shelly Donnelly vs TERESA FISHER / Rindy Barnes0-6, 1-6
2022-11-16vs SDNC 4.0 Jingle Ballers@S&T/ MosesLost 02
L#1 DoublesDanielle Morales / Holly Hansen vs Tisha Carney / Christie Sweaney2-6, 0-6
L#3 DoublesJihyun Kim / Julia Applebaum vs Kimberly Rado / Christy Fritts3-6, 4-6
2022-11-11vs SDNC 4.0 SANTAtizers @VC/ HendrixLost 01
L#2 DoublesShelly Donnelly / Julia Applebaum vs Rosemary Mireles / Tracy Russo1-6, 1-6
W#2 DoublesJihyun Kim / Julia Applebaum vs Helen Greis / Sherry Kempin6-2, 6-7, 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 SDNC Women 4.0 Holiday W 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 3.55 estimated across 7 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.

3.93
KhanhLinh Nguyen
published 4
3.69
Danielle Morales
published 4
3.65
Shelly Donnelly
usually #2 Doubles 67%, also #3 Doubles 33% · published 4
3.62
Holly Hansen
usually #1 Doubles 75%, also #3 Doubles 25% · published 4
3.44
Julia Applebaum
usually #2 Doubles 67%, also #3 Doubles 33% · published
3.26
Bonnie Haase
published 3.5
3.23
Vicki Fitzgerald
published
Nan Kim
published
Rachel Audette
published
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
KhanhLinh Nguyen
98W–42L career · no lines in 2022
<1%71%29%
3.93
4
Danielle Morales
5W–4L career · no lines in 2022
7%92%1%
3.69
4
Shelly Donnelly
22W–51L career · 3 lines in 2022
12%88%<1%
3.65
4
Holly Hansen
24W–48L career · 4 lines in 2022
19%81%<1%
3.62
Julia Applebaum
72W–41L career · 3 lines in 2022
<1%69%31%
3.44
3.5
Bonnie Haase
2W–3L career · no lines in 2022
2%95%3%
3.26
Vicki Fitzgerald
0W–6L career · no lines in 2022
98%2%<1%
3.23
Mary Frances Morilak
16W–12L career · no lines in 2022
not enough data
Nan Kim
0W–2L career · no lines in 2022
not enough data
Rachel Audette
0W–3L 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.