Teams

SGV Racket Science Ladies-Saucedo-San Dimas/SA1

2023 Winter Team Singles · SGV - Women 3.5

5 players · average NTRP 3.33 / SO.CALIFORNIA

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Schedule6 played
L#2 SinglesJosephine Chow vs Pam Barbato0-6, 2-6
2023-03-25Won 10
W#3 SinglesVeronica Saucedo vs Sharon Hales6-3, 6-3
L#2 SinglesVeronica Saucedo vs Cristina Padron0-6, 7-6, 0-1
L#1 SinglesVeronica Saucedo vs Grace Eleyae4-6, 7-6, 1-0
L#3 SinglesJosephine Chow vs Amber Nuuvali0-6, 2-6
L#2 SinglesJosephine Chow vs Rumduol Vuong1-6, 0-6
W#3 SinglesVeronica Saucedo vs Rebecca Berman0-6, 7-5, 1-0
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 3.04 estimated across 4 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.

3.54
Veronica Saucedo
usually #3 Singles 50%, also #1 Singles 25% · published 4
3.16
Tanya Robinson
published
2.85
Jean Oh
published
ANALILY PARK
published 3
2.63
Josephine Chow
usually #2 Singles 67%, also #3 Singles 33% · published 3
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
Veronica Saucedo
145W–113L career · 4 lines in 2023
37%63%<1%
3.54
Tanya Robinson
8W–14L career · no lines in 2023
12%88%<1%
3.16
Jean Oh
7W–9L career · no lines in 2023
88%12%<1%
2.85
3
ANALILY PARK
2W–4L career · no lines in 2023
not enough data
3
Josephine Chow
145W–300L career · 3 lines in 2023
15%84%<1%
2.63

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.