Teams

SGV Wild Cards-Tang-Arroyo High /SA10

2026 Mixed Tri Level - 18 & Over - San Gabriel Valley · SGV 3.0

8 players · average NTRP 3.25 / 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 standings7 teams · SGV 3.0
TeamWLInd. WInd. LSets lostGames lost
1SGV Dare Doubles-Flores-WN/SU10000000
2SGV Wild Cards-Tang-Arroyo High /SA10000000
3SGV Ball Hogs-R. Yip-Arroyo Seco/SU12000000
4SGV Tennis Addictzz-S.ChangArroyo HS/SA8000000
5SGV Tennis Addicts-Tsai-Arroyo HS/SU10000000
6SGV Silverwood-Locks-La Canada CC/SA4000000
7SGV Enter the Dragon-Wong-Claremont Club/SA2000000

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 3.30 estimated across 8 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.

3.63
Madeline Chang
published
3.58
Lynn Chen
published
3.52
Priscilla Chieng
published
3.40
Philman Tjong
published
3.33
Billy Han
published 3.5
3.03
Jocelyn Lee
published
2.98
Debra Sudo
published 3
2.93
Hiroko Lujan
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.

Jocelyn Lee + Philman Tjong5065% gamesnot 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.

Madeline Chang
27W–4L career · no lines in 2026
<1%<1%>99%
3.63
Lynn Chen
13W–2L career · no lines in 2026
<1%<1%>99%
3.58
Priscilla Chieng
7W–4L career · no lines in 2026
45%55%<1%
3.52
Philman Tjong
10W–0L career · no lines in 2026
<1%76%24%
3.40
3.5
Billy Han
7W–3L career · type A · no lines in 2026
1%87%12%
3.33
Jocelyn Lee
18W–3L career · no lines in 2026
<1%41%59%
3.03
3
Debra Sudo
17W–11L career · no lines in 2026
<1%57%43%
2.98
Hiroko Lujan
26W–6L career · no lines in 2026
<1%69%31%
2.93

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.