Teams

SGV Tennis Addicts Hamilton-S Chang-Arroyo HS-SA8

2026 SoCal Doubles 18 & Over - San Gabriel Valley · SGV - Women 3.0

12 players · average NTRP 3.00 / 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 standings13 teams · SGV - Women 3.0
TeamWLInd. WInd. LSets lostGames lost
1SGV FLoBS-Hyon-Scholl CYN/SA11000000
2SGV Rally Girls-Hawkins-Claremont Club/ Su8000000
3SGV Queens of the Court-Jones-Arroyo Seco/SU4000000
4SGV Hot Tub Tennis Club-Nowacki-WN/TBD000000
5SGV Ball Hogs-Yip-Arroyo Seco/SA4000000
6SGV Rebelettes-McNulty-Dawson Park/SA2000000
7SGV Tennis Addicts Hamilton-S Chang-Arroyo HS-SA8000000
8SGV Deuces Wild-Shen-Scholl Cyn-SA1000000
9SGV ATCC Phoenix-Woo-ATCC/ SU3000000
10SGV Arcadia Aces-Li-Arcadia-SU5000000
11SGV Always On the Line-Hong-WN/SA2000000
12SGV The XC-Kim-WN/SU8000000
13SGV HFA Grand Slam Baddies-Vanda-Downey HS/SA8000000

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

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 2.83 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.

3.21
3.15
Penny Zhang
published
3.00
Dylan Nogay
published 3
2.99
Cynthia Su
published 3
2.89
Diep Ho
published 3
2.86
Alice Markowski
published 3
2.84
Sabrina Chang
published
2.80
Mylinh Crew
published
2.57
Tina Lu
published
2.50
Binglun Shao
published 3
2.34
PATRICIA OH
published
Tiffany Chang
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.

Penny Zhang + Sabrina Chang5068% games+6.4% vs expected
Sabrina Chang + Diep Ho314 matchesnot enough data
Sabrina Chang + Cynthia Su224 matchesnot enough data
Cynthia Su + Tina Lu224 matchesnot enough data
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.

3
Lilit Khatchaturian
73W–25L career · no lines in 2026
<1%7%93%
3.21
Penny Zhang
51W–11L career · no lines in 2026
0%<1%>99%
3.15
3
Dylan Nogay
81W–43L career · no lines in 2026
<1%49%51%
3.00
3
Cynthia Su
30W–17L career · no lines in 2026
<1%54%46%
2.99
3
Diep Ho
20W–16L career · no lines in 2026
<1%78%22%
2.89
3
Alice Markowski
70W–69L career · no lines in 2026
<1%83%16%
2.86
Sabrina Chang
29W–12L career · no lines in 2026
0%1%99%
2.84
Mylinh Crew
12W–8L career · no lines in 2026
0%2%98%
2.80
Tina Lu
23W–22L career · no lines in 2026
0%31%69%
2.57
3
Binglun Shao
2W–3L career · type S · no lines in 2026
51%49%<1%
2.50
PATRICIA OH
1W–2L career · no lines in 2026
87%13%<1%
2.34
Tiffany Chang
2W–0L career · no lines in 2026
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.