Teams

V - Sunset Good Tri

2022 SoCal Tri-Level 18 &Over - Ventura · Ventura - Women 4.5

21 players · average NTRP 3.95 / 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 →
Schedule8 played
2022-09-18vs V - LLW LibbeyHighTri-Nahed StefanySplit 11
W#1 DoublesMonica Bandy / Ivette Dunlop vs Mary Fleming / Alexandra Mejia-Holdsworth6-0, 7-6
L#3 DoublesTanya Thompson / Gina Vazquez vs Noelle Evans / Myla Hanson3-6, 4-6
W#1 DoublesIvette Dunlop / Michelle Harlow vs Alexandra Mejia-Holdsworth / Huyen Burton7-5, 6-3
2022-09-07vs V - Wood Ranch Wig SnatchersLost 02
L#1 DoublesJennifer Sherwood / Michelle Harlow vs Mayna Londt / Renee Whitlock7-5, 4-6, 0-1
L#3 DoublesGloria Liu / Gina Vazquez vs Stella Dumlao-Idea / Patricia Ameca6-2, 6-7, 0-1
2022-08-23vs V - NRCC - HI and MIGHTYSplit 11
W#1 DoublesGrace Perez / Ivette Dunlop vs Jennifer Cotone Gossett / Mary Lyon6-2, 6-3
L#3 DoublesTanya Thompson / Gina Vazquez vs Lisa Iezza / Rosalind Ng1-6, 6-7
2022-08-20vs V - Wood Ranch Wig SnatchersLost 01
L#3 DoublesAnn Francisco / Gina Vazquez vs Kristin Pena / Julie Kurowski3-6, 2-6
2022-08-06vs V - NRCC - HI and MIGHTYLost 01
L#1 DoublesHanneli Schuster / Michelle Harlow vs Jennifer Cotone Gossett / Jennifer Sutman5-7, 2-6
2022-07-31vs V - Wood Ranch Wig SnatchersLost 01
L#1 DoublesMonica Bandy / Grace Perez vs Mayna Londt / Linda Benoit Reigel2-6, 3-6
2022-07-13vs V - NRCC - HI and MIGHTYLost 01
L#3 DoublesMarie Smith / Claudia Bay vs Sonia Bekian / Shari Schiff1-6, 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 Ventura - Women 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 3.58 estimated across 19 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.

4.31
Ivette Dunlop
usually #1 Doubles 100% · published 4.5
4.19
Elain Cleary
published 4.5
4.14
Monica Bandy
usually #1 Doubles 100% · published
4.11
Grace Perez
published 4.5
4.02
Jennifer Sherwood
published
4.02
Michelle Harlow
usually #1 Doubles 100% · published 4.5
4.01
Hanneli Schuster
usually #1 Doubles 100% · published 4.5
3.95
Victoria Silver
published
3.69
Mia de Leon
published
3.64
Denise Gelfand
published 4
3.30
Eliza Toone
published 3.5
3.28
Gloria Liu
published 3.5
3.24
Sherry Meinhart
published
3.14
Ann Francisco
published 3.5
3.13
Gina Vazquez
usually #3 Doubles 100% · published 3.5
3.00
Susan Friedman
published
3.00
Tanya Thompson
published
2.96
Marie Smith
published
2.90
Claudia Bay
usually #3 Doubles 100% · published 3
Susan Dahlberg
published
Tricia Stanley
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.

Monica Bandy + Ivette Dunlop21959% games+4.9% vs expected
Hanneli Schuster + Michelle Harlow1739% games−10.5% vs expected
Grace Perez + Jennifer Sherwood2438% gamesnot enough data
Ivette Dunlop + Michelle Harlow5155% gamesnot enough data
Monica Bandy + Michelle Harlow134 matchesnot enough data
Claudia Bay + Gina Vazquez044 matchesnot enough data
Jennifer Sherwood + Hanneli Schuster123 matchesnot enough data
Ivette Dunlop + Hanneli Schuster123 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.

4.5
Ivette Dunlop
130W–94L career · 3 lines in 2022
1%92%7%
4.31
4.5
Elain Cleary
3W–3L career · no lines in 2022
8%92%1%
4.19
Monica Bandy
75W–72L career · 2 lines in 2022
13%86%<1%
4.14
4.5
Grace Perez
11W–11L career · no lines in 2022
21%79%<1%
4.11
Jennifer Sherwood
4W–4L career · no lines in 2022
44%56%<1%
4.02
4.5
Michelle Harlow
93W–109L career · 3 lines in 2022
44%56%<1%
4.02
4.5
Hanneli Schuster
155W–171L career · 1 line in 2022
47%53%<1%
4.01
Victoria Silver
1W–2L career · no lines in 2022
65%35%<1%
3.95
Mia de Leon
19W–22L career · no lines in 2022
7%92%1%
3.69
4
Denise Gelfand
2W–2L career · no lines in 2022
14%86%<1%
3.64
3.5
Eliza Toone
11W–5L career · no lines in 2022
1%93%6%
3.30
3.5
Gloria Liu
8W–9L career · no lines in 2022
2%94%4%
3.28
Sherry Meinhart
11W–6L career · no lines in 2022
3%95%2%
3.24
3.5
Ann Francisco
9W–16L career · no lines in 2022
14%85%<1%
3.14
3.5
Gina Vazquez
95W–140L career · 4 lines in 2022
15%84%<1%
3.13
Susan Friedman
9W–18L career · no lines in 2022
50%50%<1%
3.00
Tanya Thompson
2W–12L career · no lines in 2022
50%50%<1%
3.00
Marie Smith
14W–17L career · no lines in 2022
61%39%<1%
2.96
3
Claudia Bay
67W–75L career · 1 line in 2022
<1%78%21%
2.90
Susan Dahlberg
0W–2L career · no lines in 2022
not enough data
Tricia Stanley
1W–1L 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.