Teams

WC SGV Tennis Addicts-Gong-Arroyo HS/SA8

2025 Mixed Doubles - 40 & Over San Gabriel Valley · SGV - 7.0 Mixed Division

15 players · average NTRP 3.62 / 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 3.57 estimated across 15 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
3.96
Shih-hao James Pang
published
3.90
Steinway Huang
usually #3 Doubles 67%, also #2 Doubles 33% · published 4
3.86
James Lee
published 4
3.86
Joseph Dychioco
usually #3 Doubles 50%, also #2 Doubles 50% · published 4
3.75
Woo Kim
published
3.75
Tina Gong
published
3.73
Michelle Wong
published
3.50
Noel Nepomuceno
published
3.45
3.37
Geoff Heminway
published 3.5
3.29
Gloria Nuguid
usually #3 Doubles 40%, also #1 Doubles 40% · published 3.5
3.18
Sandy Mandel
usually #3 Doubles 100% · published 3.5
3.10
Jonathan Ly
published
2.89
Amy Soong Tsai
usually #2 Doubles 50%, also #3 Doubles 50% · published 3
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.

James Lee + Michelle Wong4458% 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.

Stacey Lam
10W–2L career · no lines in 2025
<1%57%43%
3.98
Shih-hao James Pang
23W–3L career · no lines in 2025
<1%62%38%
3.96
4
Steinway Huang
73W–29L career · 3 lines in 2025
<1%78%21%
3.90
4
James Lee
26W–15L career · no lines in 2025
<1%85%14%
3.86
4
Joseph Dychioco
42W–27L career · 2 lines in 2025
<1%86%13%
3.86
Woo Kim
15W–10L career · no lines in 2025
2%95%3%
3.75
Tina Gong
9W–3L career · no lines in 2025
3%95%3%
3.75
Michelle Wong
23W–7L career · no lines in 2025
<1%4%96%
3.73
Noel Nepomuceno
19W–2L career · no lines in 2025
<1%49%51%
3.50
3.5
Alexandra Steele Cooper
21W–10L career · no lines in 2025
<1%64%36%
3.45
3.5
Geoff Heminway
8W–6L career · no lines in 2025
<1%83%17%
3.37
3.5
Gloria Nuguid
113W–98L career · 5 lines in 2025
1%93%5%
3.29
3.5
Sandy Mandel
70W–85L career · 2 lines in 2025
9%91%1%
3.18
Jonathan Ly
39W–11L career · no lines in 2025
<1%22%78%
3.10
3
Amy Soong Tsai
89W–60L career · 6 lines in 2025
<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.