Teams

LLW SGV Racketeers-Tang-WN/Su12

2022 Mixed Doubles - 18 & Over San Gabriel Valley · SGV - 7.0 Mixed Division

12 players · average NTRP 3.92 / 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 3.82 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.

4.50
Lauren Nicole Finke
published
4.27
Colin Tang
published 4
4.04
Richard Phung
published
3.92
David Lui
published 4
3.85
Alicia Villarino
usually #1 Doubles 75%, also #3 Doubles 25% · published 4
3.76
Christina Islas
published 4
3.60
Khin Aye
published
3.60
Anthony Lim
published 4
3.52
Priscilla Chieng
published
3.49
Richie Oshiro
usually #2 Doubles 67%, also #1 Doubles 33% · published 3.5
3.40
Laurie Manley
published
Juan Ramirez
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.

Lauren Nicole Finke
7W–7L career · no lines in 2022
51%49%<1%
4.50
4
Colin Tang
17W–2L career · no lines in 2022
<1%2%98%
4.27
Richard Phung
2W–5L career · no lines in 2022
37%63%<1%
4.04
4
David Lui
7W–4L career · no lines in 2022
<1%73%27%
3.92
4
Alicia Villarino
65W–13L career · 4 lines in 2022
<1%86%13%
3.85
4
Christina Islas
4W–4L career · no lines in 2022
2%94%3%
3.76
Khin Aye
10W–16L career · no lines in 2022
21%78%<1%
3.60
4
Anthony Lim
8W–0L career · no lines in 2022
22%78%<1%
3.60
Priscilla Chieng
7W–4L career · no lines in 2022
42%58%<1%
3.52
3.5
Richie Oshiro
90W–54L career · 3 lines in 2022
<1%52%48%
3.49
Laurie Manley
8W–9L career · no lines in 2022
77%23%<1%
3.40
Juan Ramirez
2W–6L 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.