Teams

SGV ATCC -Stahl Nix- ATCC-SA 1

2022 Adult Division - 18 & Over San Gabriel Valley · SGV - Women 4.0

15 players · average NTRP 3.62 / SO.CALIFORNIA

View scouting list →
Schedule10 played
2022-06-25vs SGV Chic Netsetters-Garcia-WN/SU8Lost 12
L#1 DoublesValiere Byrnes / Amber Haley vs Cynthia Garcia / Maryann Yamamoto5-7, 3-6
L#2 DoublesMay de Castro / Melinda Stahl Nix vs Yolanda Barocio / Regina Gov5-7, 3-6
W#3 DoublesLinda Kroff / Pamela Rosenberg vs N/A6-0, 6-0
2022-06-18vs SGV Chow Fun-Chow-SA 8/10Lost 02
L#1 DoublesAlma Banuelos / Darlene Parada vs Stacey Iwata / Mary Chau4-6, 6-7
L#3 DoublesLinda Kroff / Pamela Rosenberg vs Alisa MacKey / Tracy Lee3-6, 7-6, 0-1
L#1 DoublesValiere Byrnes / Melinda Stahl Nix vs Kasia Chmielewski / Sharon Elliott2-6, 3-6
L#2 DoublesDarlene Parada / Alma Banuelos vs Laura Ferguson / Katie Tong4-6, 7-6, 0-1
W#3 DoublesSherie Paulson / May de Castro vs Stacy Hanway / ISABELLE DEPIESSE6-4, 7-5
L#1 DoublesAlma Banuelos / Peggy Stahlheber vs Penapa Frick / Tess de Los Reyes5-7, 6-4, 0-1
L#2 DoublesMelinda Stahl Nix / Valiere Byrnes vs Nancy Antonoplis / Sandy Robinson4-6, 6-4, 0-1
L#2 SinglesMay de Castro vs Joanne Kim1-6, 2-6
L#3 DoublesRegina Cheung / Sherie Paulson vs Carla Denker / Antoinette Lessuk4-6, 3-6
L#1 DoublesCarolyn Altman / Elizabeth Wilson vs DENISE GICK / Candice Hung2-6, 2-6
L#2 DoublesMay de Castro / Liesel Reinisch vs Maria Bailey / Thao Le2-6, 6-7
L#1 DoublesMay de Castro / Carmen Martinez vs Jennifer Miller / Shaheen Plunier6-1, 0-6, 0-1
L#2 DoublesCarolyn Altman / Amber Haley vs Michelle Morgan / Ellen Yarter3-6, 2-6
L#1 DoublesAlma Banuelos / Darlene Parada vs Tivy Wong / Monique Lind2-6, 1-6
W#2 DoublesMay de Castro / Liesel Reinisch vs Claudia Ibarra / Ping Chan6-7, 6-1, 1-0
L#3 DoublesValiere Byrnes / Maki Shewfelt vs Julia Campbell / Laura Laun6-7, 2-6
2022-04-30Lost 01
L#1 DoublesCarolyn Altman / Alma Banuelos vs Roxanne Stevens / Jina Lee0-6, 1-6
2022-04-17vs SoCal/Tang/18&Over4.0WLost 02
L#1 DoublesAlma Banuelos / Darlene Parada vs Lauren Nicole Finke / Khin Aye3-6, 1-6
L#3 DoublesPamela Rosenberg / Linda Kroff vs Jane Wang / Bu Kum Kim2-6, 3-6
L#1 DoublesAlma Banuelos / Darlene Parada vs Amy Hasquet / Summer Shelton4-6, 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 4.0 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 3.31 estimated across 14 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.

3.74
Liesel Reinisch
usually #2 Doubles 100% · published 4
3.69
Rebecca Stokes
published
3.56
May de Castro
usually #2 Doubles 50%, also #1 Doubles 17% · published 4
3.43
Sherie Paulson
usually #3 Doubles 50%, also #2 Doubles 38% · published 3.5
3.29
Peggy Stahlheber
published
3.29
Melinda Stahl Nix
published
3.27
Alma Banuelos
usually #1 Doubles 86%, also #2 Doubles 14% · published 3.5
3.25
Regina Cheung
published
3.20
Valiere Byrnes
usually #1 Doubles 50%, also #3 Doubles 25% · published 3.5
3.19
Carolyn Altman
usually #1 Doubles 67%, also #2 Doubles 33% · published 3.5
3.18
Pamela Rosenberg
published
3.12
Carmen Martinez
published 3.5
3.08
Maki Shewfelt
published
3.05
Linda Kroff
usually #3 Doubles 57%, also #1 Doubles 43% · published 3.5
Shelley McMahon
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.

Linda Kroff + Pamela Rosenberg3443% games−7.5% vs expected
Liesel Reinisch + May de Castro1835% gamesnot enough data
Regina Cheung + Sherie Paulson5158% gamesnot enough data
Alma Banuelos + Regina Cheung314 matchesnot enough data
Alma Banuelos + Melinda Stahl Nix224 matchesnot enough data
Valiere Byrnes + Alma Banuelos033 matchesnot enough data
Alma Banuelos + Carolyn Altman123 matchesnot enough data
Sherie Paulson + May de Castro213 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
Liesel Reinisch
31W–46L career · 2 lines in 2022
3%94%2%
3.74
Rebecca Stokes
4W–3L career · no lines in 2022
7%92%1%
3.69
4
May de Castro
35W–81L career · type A · 6 lines in 2022
31%69%<1%
3.56
3.5
Sherie Paulson
102W–61L career · 8 lines in 2022
<1%71%29%
3.43
Peggy Stahlheber
2W–1L career · no lines in 2022
1%93%5%
3.29
Melinda Stahl Nix
3W–4L career · no lines in 2022
1%94%5%
3.29
3.5
Alma Banuelos
28W–48L career · 7 lines in 2022
2%94%4%
3.27
Regina Cheung
9W–12L career · no lines in 2022
3%95%3%
3.25
3.5
Valiere Byrnes
24W–52L career · 4 lines in 2022
6%93%1%
3.20
3.5
Carolyn Altman
35W–29L career · 3 lines in 2022
8%91%1%
3.19
Pamela Rosenberg
6W–3L career · no lines in 2022
8%91%1%
3.18
3.5
Carmen Martinez
1W–12L career · no lines in 2022
19%81%<1%
3.12
Maki Shewfelt
2W–4L career · no lines in 2022
27%73%<1%
3.08
3.5
Linda Kroff
48W–68L career · 7 lines in 2022
34%66%<1%
3.05
Shelley McMahon
1W–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.