Teams

LLW SGV Wild Cards-Tang-WN Su8

2022 Mixed Tri Level -18 &Over-San Gabriel Valley · SGV - 3.5

13 players · average NTRP 4.44 / 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 →
Schedule3 played
W#1 DoublesColin Tang / Leticia Alcala vs Nilton Neyra / Ani Aratounians6-2, 6-0
W#2 DoublesEDWARD CHOI / Hatty Yip vs Susan Miller / Nate Miller6-0, 6-0
2022-11-06Won 10
W#1 DoublesBrian Lee / Leticia Alcala vs N/A6-0, 6-0
2022-10-08Won 10
W#2 DoublesJuvan Divinagracia / Hatty Yip vs Jane Lee / James Lee6-0, 6-1
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 - 3.5 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 4.10 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.

4.70
Mandi Collier
published 5
4.62
Leticia Alcala
usually #1 Doubles 100% · published 5
4.56
EDWARD CHOI
published 5
4.50
Lauren Nicole Finke
published
4.27
Colin Tang
published 4
Andre Law
published 4.5
4.17
Nicholas de Goede
published 4.5
4.13
Hatty Yip
usually #2 Doubles 100% · published 4
3.92
David Lui
published 4
3.76
Yoshiki Hisamoto
published
3.60
Anthony Lim
published 4
3.52
Priscilla Chieng
published
3.40
Laurie Manley
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.

5
Mandi Collier
188W–89L career · no lines in 2022
6%93%1%
4.70
5
Leticia Alcala
160W–102L career · 2 lines in 2022
19%81%<1%
4.62
5
EDWARD CHOI
4W–9L career · no lines in 2022
32%68%<1%
4.56
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
4.5
Andre Law
2W–0L career · no lines in 2022
not enough data
4.5
Nicholas de Goede
81W–47L career · no lines in 2022
9%90%1%
4.17
4
Hatty Yip
99W–33L career · 2 lines in 2022
<1%16%84%
4.13
4
David Lui
7W–4L career · no lines in 2022
<1%73%27%
3.92
Yoshiki Hisamoto
6W–0L career · no lines in 2022
<1%2%98%
3.76
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
Laurie Manley
8W–9L career · no lines in 2022
77%23%<1%
3.40

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.