Teams

SDNC 3.5 Court Sleighers @PHA/ Suk

2022 So Cal Fall Doubles - SDNC · SDNC Women 3.5 Holiday T

10 players · average NTRP 3.58 / 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 →
Schedule6 played
W#3 DoublesJennifer van Riet / Diane Silberman vs Lyssa Schmitt / Johanna Mallory6-0, 6-2
2022-12-08vs SDNC LLW 3.5 Frosty Ballers/ OttLost 01
L#3 DoublesAudra Markman / Jennifer van Riet vs Irene Steinwinder / Ana Mariela Gamiz7-5, 3-6, 0-1
L#2 DoublesJennifer van Riet / Jill Twombly vs Laney Mesquita / Patricia Papciak0-6, 3-6
2022-12-01vs SDNC 3.5 RBS&TC/ SchmitzLost 01
L#2 DoublesJill Twombly / Jennifer van Riet vs Cynthia Stern / Julie Witsken6-0, 2-6, 0-1
L#1 DoublesAudra Markman / Trudy Fore vs Casey Luckham / Alisha Lapkewych2-6, 4-6
L#2 DoublesJennifer van Riet / Jill Twombly vs Amanda Barnard / Katie Butler5-7, 2-6
L#2 DoublesMelissa van Loan / Audra Markman vs Theresa Roach / Mary Ann Neder2-6, 4-6
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 SDNC Women 3.5 Holiday T 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 3.37 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.

3.65
Diane Silberman
published 4
3.51
Mary Beth Woulfe
published
3.49
Trudy Fore
published 3.5
3.39
Jill Twombly
published 3.5
3.31
Audra Markman
usually #2 Doubles 33%, also #1 Doubles 33% · published 3.5
3.28
Lynn Wagner
published
3.20
Jennifer van Riet
usually #2 Doubles 60%, also #3 Doubles 40% · published 3.5
3.12
Amanda Clardy
published 3.5
Raquel Murphy
published
Vanessa Wolverton
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.

Jill Twombly + Mary Beth Woulfe2452% games+6.9% vs expected
Trudy Fore + Jill Twombly81051% games−0.9% vs expected
Trudy Fore + Mary Beth Woulfe404 matchesnot enough data
Audra Markman + Jennifer van Riet213 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.

4
Diane Silberman
5W–7L career · no lines in 2022
13%87%<1%
3.65
Mary Beth Woulfe
7W–4L career · no lines in 2022
<1%47%53%
3.51
3.5
Trudy Fore
96W–89L career · no lines in 2022
<1%54%46%
3.49
3.5
Jill Twombly
35W–40L career · no lines in 2022
<1%80%19%
3.39
3.5
Audra Markman
26W–20L career · 3 lines in 2022
1%92%7%
3.31
Lynn Wagner
4W–1L career · no lines in 2022
2%94%5%
3.28
3.5
Jennifer van Riet
24W–31L career · 5 lines in 2022
6%93%1%
3.20
3.5
Amanda Clardy
2W–7L career · no lines in 2022
18%82%<1%
3.12
Raquel Murphy
2W–2L career · no lines in 2022
not enough data
Vanessa Wolverton
0W–2L 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.