Teams

LLW SGV Dare Doubles-Wang - WN/SA10

2022 Mixed Tri Level -18 &Over-San Gabriel Valley · SGV - 3.0

13 players · average NTRP 3.62 / 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 →
Schedule2 played
2022-11-19Lost 01
L#2 DoublesPei Fu / Robert Li vs Jenniffer Wong / Jimmy Chang5-7, 3-6
L#2 DoublesPei Fu / Oscar Wong vs Veronica Saucedo / David Lwe3-6, 5-7
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 - 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 3.52 estimated across 11 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
Jasmine Dai
published
4.03
Martin Jay Rodiles
published
3.78
Cara Hofstad
usually #1 Doubles 60%, also #2 Doubles 40% · published 4
3.50
Hong Ye
published 3.5
3.49
Willie Yeh
published
3.48
Nancy Ray
published
3.36
Ted Shen
published
3.28
Chia Chi Tsai
published 3.5
3.28
Peter Yen
published
3.25
Rebecca Berman
published
3.20
Pei Fu
usually #2 Doubles 100% · published 3.5
Jeff Kamens
published
Zhan Yan
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.

Jasmine Dai
8W–5L career · no lines in 2022
29%71%<1%
4.07
Martin Jay Rodiles
5W–5L career · no lines in 2022
<1%42%58%
4.03
4
Cara Hofstad
218W–155L career · 5 lines in 2022
2%94%5%
3.78
3.5
Hong Ye
19W–9L career · no lines in 2022
<1%52%48%
3.50
Willie Yeh
2W–4L career · no lines in 2022
54%46%<1%
3.49
Nancy Ray
11W–11L career · no lines in 2022
<1%56%44%
3.48
Ted Shen
21W–16L career · no lines in 2022
<1%85%14%
3.36
3.5
Chia Chi Tsai
6W–3L career · no lines in 2022
2%94%5%
3.28
Peter Yen
6W–20L career · no lines in 2022
95%5%<1%
3.28
Rebecca Berman
10W–7L career · no lines in 2022
2%95%3%
3.25
3.5
Pei Fu
85W–49L career · 2 lines in 2022
7%92%1%
3.20
Jeff Kamens
1W–0L career · no lines in 2022
not enough data
Zhan Yan
8W–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.