Teams

SGV Smashing Divas 3.5- De los Santos- WN/SA 10

2022 SoCal Doubles 18 & Over - San Gabriel Valley · SGV - Women 3.5

9 players · average NTRP 3.20 / SO.CALIFORNIA

View scouting list →
Schedule3 played
2022-11-19vs SGV Dynamic Duos -Chow-WN/SU8Lost 01
L#2 DoublesMaribeth F Rodriguez / AIRI IVES vs Audrey Thomas / Nancy Wong-Thomas0-6, 4-6
L#1 DoublesAIRI IVES / Maribeth F Rodriguez vs Jennifer Daniels / Linda Kronseder7-6, 3-6, 0-1
2022-09-18Lost 01
L#3 DoublesGeorgia de Los Santos / Maribeth F Rodriguez vs Christina Ciambriello / Judy Wade4-6, 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 SGV - Women 3.5 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 2.99 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.

3.52
Priscilla Chieng
published
3.42
Debbie Carmody
published 3.5
3.15
AIRI IVES
published 3.5
2.91
Nicole de la Cruz
published
2.89
Maribeth F Rodriguez
usually #1 Doubles 55%, also #2 Doubles 36% · published 3
2.58
Gloria Cardoza
published 3
2.48
Chris Helberg
published 3
Linda Matsumoto
published
Margarita Frame
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.

Priscilla Chieng
7W–4L career · no lines in 2022
42%58%<1%
3.52
3.5
Debbie Carmody
18W–13L career · no lines in 2022
<1%72%28%
3.42
3.5
AIRI IVES
3W–5L career · no lines in 2022
12%88%<1%
3.15
Nicole de la Cruz
6W–5L career · no lines in 2022
<1%75%24%
2.91
3
Maribeth F Rodriguez
164W–169L career · 11 lines in 2022
<1%80%19%
2.89
3
Gloria Cardoza
7W–8L career · no lines in 2022
28%72%<1%
2.58
3
Chris Helberg
0W–4L career · no lines in 2022
55%45%<1%
2.48
Linda Matsumoto
1W–1L career · no lines in 2022
not enough data
Margarita Frame
2W–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.