Teams

SGV Tennis Addicts-Nepomuceno-Live Oak Park/SU11

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

16 players · average NTRP 3.50 / 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 3.45 estimated across 14 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.

3.98
Stacey Lam
published
3.76
Sang Ur
published 4
3.75
Woo Kim
published
3.75
Tina Gong
published
Chris Wong
published 4
3.73
Michelle Wong
published
3.53
Gregory Lau
published 3.5
3.50
Noel Nepomuceno
published
3.38
Demmi Setyono
published 3.5
3.37
Geoff Heminway
published 3.5
3.37
Nancy Pashayan
usually #2 Doubles 50%, also #1 Doubles 50% · published 3.5
Andy Huynh
published 3.5
3.17
Stefani Galvagni
usually #3 Doubles 100% · published 3
3.13
Atish Mohanty
published 3.5
2.95
Sabrina Chang
published
2.89
Amy Soong Tsai
usually #2 Doubles 60%, also #3 Doubles 20% · published 3
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.

Stacey Lam
10W–2L career · no lines in 2024
<1%57%43%
3.98
4
Sang Ur
57W–34L career · no lines in 2024
2%95%3%
3.76
Woo Kim
15W–10L career · no lines in 2024
2%95%3%
3.75
Tina Gong
9W–3L career · no lines in 2024
3%95%3%
3.75
4
Chris Wong
0W–1L career · no lines in 2024
not enough data
Michelle Wong
23W–7L career · no lines in 2024
<1%4%96%
3.73
3.5
Gregory Lau
13W–1L career · no lines in 2024
<1%41%59%
3.53
Noel Nepomuceno
19W–2L career · no lines in 2024
<1%49%51%
3.50
3.5
Demmi Setyono
6W–14L career · no lines in 2024
<1%82%18%
3.38
3.5
Geoff Heminway
8W–6L career · no lines in 2024
<1%83%17%
3.37
3.5
Nancy Pashayan
61W–75L career · 2 lines in 2024
<1%83%16%
3.37
3.5
Andy Huynh
1W–0L career · no lines in 2024
not enough data
3
Stefani Galvagni
129W–81L career · 1 line in 2024
<1%9%91%
3.17
3.5
Atish Mohanty
3W–14L career · no lines in 2024
16%84%<1%
3.13
Sabrina Chang
29W–12L career · no lines in 2024
<1%66%34%
2.95
3
Amy Soong Tsai
89W–60L career · 5 lines in 2024
<1%80%19%
2.89

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.