Teams

MARIN TC 18AW4.5A

2022 ADULT 18&Over · Women's 4.5

21 players · average NTRP 4.25 / 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 →
Schedule2 played
2022-05-24vs RAFAEL RC 18AW4.5ALost 01
L#1 DoublesMandy Aguero / Christina Wang vs Jennifer Slippy / Anna Varnay-Truong3-6, 0-6
2022-05-07vs RAFAEL RC 18AW4.5ALost 01
L#1 DoublesChristina Wang / Mandy Aguero vs Ricki Rubin / Caroline Iwanchuk4-6, 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 Women's 4.5 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 3.97 estimated across 18 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.

4.45
Dana Marotto
published 4.5
4.37
Robin Gluck
published
4.33
Michelle Gurman
published
4.31
Jennifer Mills
published
4.22
Kiran F Narsinh
published
4.21
Loren Quaglieri
published 4.5
4.18
Miki Lenox
published
4.16
Brooke Juhl
published 4.5
4.08
Sugi Bernard
published
3.96
Amy See
published 4.5
3.92
Miranda Kolbe
published
3.80
Nancy Martin
published
3.77
Karla Boisvert
published
3.72
Elaine Kitano
published 4
3.61
Susan Swezy
published
3.53
Tina Skouras
published
3.45
Debbie Miskell
published 3.5
3.44
Jennifer Siegal
published
Mandy Aguero
usually #1 Doubles 33%, also #2 Doubles 22% · published
Nancy Wong
published
Rachel Ogdie
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.

4.5
Dana Marotto
8W–0L career · no lines in 2022
<1%65%35%
4.45
Robin Gluck
14W–3L career · no lines in 2022
<1%85%15%
4.37
Michelle Gurman
7W–5L career · no lines in 2022
1%90%9%
4.33
Jennifer Mills
16W–7L career · no lines in 2022
1%92%7%
4.31
Kiran F Narsinh
10W–10L career · no lines in 2022
<1%4%96%
4.22
4.5
Loren Quaglieri
6W–5L career · no lines in 2022
5%94%1%
4.21
Miki Lenox
7W–4L career · no lines in 2022
8%91%1%
4.18
4.5
Brooke Juhl
3W–2L career · no lines in 2022
10%89%<1%
4.16
Sugi Bernard
20W–15L career · no lines in 2022
<1%27%73%
4.08
4.5
Amy See
1W–4L career · no lines in 2022
61%39%<1%
3.96
Miranda Kolbe
20W–18L career · no lines in 2022
74%26%<1%
3.92
Nancy Martin
6W–2L career · no lines in 2022
1%93%6%
3.80
Karla Boisvert
11W–6L career · no lines in 2022
2%94%4%
3.77
4
Elaine Kitano
14W–9L career · no lines in 2022
5%94%1%
3.72
Susan Swezy
10W–7L career · no lines in 2022
19%81%<1%
3.61
Tina Skouras
17W–9L career · no lines in 2022
42%58%<1%
3.53
3.5
Debbie Miskell
4W–4L career · no lines in 2022
<1%65%35%
3.45
Jennifer Siegal
5W–16L career · no lines in 2022
67%33%<1%
3.44
Mandy Aguero
7W–30L career · 9 lines in 2022
not enough data
Nancy Wong
2W–2L career · no lines in 2022
not enough data
Rachel Ogdie
3W–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.