Teams

SGV The Noobies-R Lee-San Marino HS/SU12

2024 Mixed Doubles - 18 & Over San Gabriel Valley · SGV - 7.0 Mixed Division

14 players · average NTRP 3.44 / 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 →

Flight standings for SGV - 7.0 Mixed Division 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 3.26 estimated across 12 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.

3.80
Sam Yang
published
Delong Cen
published 4
3.59
Darren Earl
usually #1 Doubles 67%, also #3 Doubles 22% · published 4
3.49
Derek La
published 3.5
3.48
Anita Tang
usually #2 Doubles 80%, also #3 Doubles 20% · published 3.5
3.46
Rand Lee
published
3.38
Sean Ky
published
3.34
Becky Kim
published 3.5
3.21
Jeffrey Kwok
published
3.07
Tiffany Giang
published
2.94
Kimberly Albright
usually #1 Doubles 75%, also #3 Doubles 25% · published 3
2.69
Karen Willaman
usually #3 Doubles 50%, also #1 Doubles 25% · published 3
2.62
Josephine Chow
usually #3 Doubles 43%, also #2 Doubles 43% · published 3
Jason Yee
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.

Sam Yang
4W–10L career · no lines in 2024
<1%2%98%
3.80
4
Delong Cen
0W–4L career · no lines in 2024
not enough data
4
Darren Earl
108W–148L career · 9 lines in 2024
25%75%<1%
3.59
3.5
Derek La
27W–13L career · no lines in 2024
<1%53%47%
3.49
3.5
Anita Tang
70W–38L career · 5 lines in 2024
<1%56%44%
3.48
Rand Lee
2W–20L career · no lines in 2024
<1%61%39%
3.46
Sean Ky
27W–8L career · no lines in 2024
<1%<1%>99%
3.38
3.5
Becky Kim
10W–6L career · no lines in 2024
1%87%12%
3.34
Jeffrey Kwok
2W–7L career · no lines in 2024
7%91%2%
3.21
Tiffany Giang
1W–2L career · no lines in 2024
31%69%<1%
3.07
3
Kimberly Albright
95W–87L career · 4 lines in 2024
<1%66%34%
2.94
3
Karen Willaman
64W–78L career · 4 lines in 2024
8%90%1%
2.69
3
Josephine Chow
145W–299L career · 7 lines in 2024
20%80%<1%
2.62
Jason Yee
0W–1L career · no lines in 2024
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.