Teams

SGV Dynamic Duos- Yip-Arroyo Seco-SA4

2023 Tri-Level League - San Gabriel Valley · SGV - Women 3.0

12 players · average NTRP 3.62 / SO.CALIFORNIA

View scouting list →
Schedule3 played
2023-09-16vs SGV Triple Match Point-Arroyo/SU4Lost 01
L#1 DoublesCarol Choy / Skylar Sabetta vs Monique Lind / Diana Rochford6-4, 5-7, 0-1
2023-08-19vs SGV Dare Doubles-Flores-WN/SU8Won 10
W#1 DoublesCarol Choy / Panney Wei vs Ronalyn Raymundo / Ying Li7-5, 6-4
L#1 DoublesMing-Ming Peng / Carol Choy vs Cynthia Garcia / Veronica Saucedo3-6, 0-6
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 3.0 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 3.23 estimated across 10 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.

4.07
Ming-Ming Peng
published 4
3.75
Carol Choy
usually #1 Doubles 100% · published 4
3.71
Skylar Sabetta
published
3.33
Jenny Lin
published
3.21
Annemarie Schnedler
published 3.5
3.10
Panney Wei
published
2.97
Florence Chen
published
2.90
Eileen Yip
published
2.70
2.56
Fanny Gee
published
Lucinda Wong
published
Mika Shenefelt
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.

Ming-Ming Peng + Jenny Lin51043% games−2.3% vs expected
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
Ming-Ming Peng
52W–34L career · no lines in 2023
<1%31%69%
4.07
4
Carol Choy
111W–52L career · 3 lines in 2023
4%93%4%
3.75
Skylar Sabetta
2W–3L career · no lines in 2023
7%91%2%
3.71
Jenny Lin
14W–18L career · no lines in 2023
<1%1%99%
3.33
3.5
Annemarie Schnedler
6W–13L career · no lines in 2023
7%91%2%
3.21
Panney Wei
5W–17L career · no lines in 2023
24%76%<1%
3.10
Florence Chen
1W–3L career · no lines in 2023
<1%59%41%
2.97
Eileen Yip
6W–10L career · no lines in 2023
<1%75%25%
2.90
3
Camille Farnsworth
3W–5L career · no lines in 2023
7%91%2%
2.70
Fanny Gee
1W–4L career · no lines in 2023
34%66%<1%
2.56
Lucinda Wong
1W–1L career · no lines in 2023
not enough data
Mika Shenefelt
1W–0L career · no lines in 2023
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.