Teams

SGV Tennis Addicts-Gong-Arroyo HS/SU8

2025 Mixed Tri Level - 18 & Over - San Gabriel Valley · SGV 3.0

20 players · average NTRP 3.70 / SO.CALIFORNIA

View scouting list →
Schedule6 played
2025-11-23vs SGV Mixed Nuts-Hwang-Flint/SU4Lost 01
L#1 DoublesSang Ur / Angelica Ramos vs Jason Nam / Jing Lin7-6, 1-6, 0-1
L#1 DoublesSteinway Huang / Nat Newton vs Arturo Mateos / Katie Tong6-2, 2-6, 0-1
2025-10-26vs SGV Ball Hogs-Yip-Arroyo/SU12Won 10
W#2 DoublesSang Ur / Tracy Lee vs Chun Wong / Mei Wong6-4, 7-6
2025-10-19Won 10
W#1 DoublesJoseph Dychioco / Jenniffer Wong vs Stephen Karl Doubik-Enman / Melanie Aron6-4, 6-1
2025-10-18Lost 01
L#1 DoublesSteinway Huang / Angelica Ramos vs Colin Tang / Priscilla Chieng2-6, 3-6
L#2 DoublesSang Ur / Demmi Setyono vs Adriana Higuera / Arnold Lopez3-6, 2-6
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 3.0 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 3.41 estimated across 19 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
Angelica Ramos
usually #1 Doubles 80%, also #2 Doubles 20% · published 4
3.90
Joseph Dychioco
usually #1 Doubles 100% · published 4
3.82
Steinway Huang
usually #1 Doubles 100% · published 4
Chris Wong
published 4
3.75
Sang Ur
usually #2 Doubles 67%, also #1 Doubles 33% · published 4
3.57
Nat Newton
published
3.54
Michelle Wong
published
3.48
Woo Kim
published
3.46
Gregory Lau
published
3.44
3.40
Tina Gong
published
3.39
Demmi Setyono
published 3.5
3.33
Jenniffer Wong
usually #1 Doubles 100% · published 3.5
3.31
Ramiro Rivas
published
3.22
Geoff Heminway
published
3.14
Andrea Wong
published 3.5
3.13
Jonathan Ly
published
3.12
Jose Ochoa
published
2.89
Amy Soong Tsai
usually #1 Doubles 40%, also #3 Doubles 40% · published 3
2.84
Sabrina Chang
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.

4
Angelica Ramos
103W–56L career · 5 lines in 2025
<1%56%44%
3.98
4
Joseph Dychioco
40W–27L career · 1 line in 2025
<1%77%23%
3.90
4
Steinway Huang
73W–29L career · 2 lines in 2025
1%89%10%
3.82
4
Chris Wong
0W–1L career · no lines in 2025
not enough data
4
Sang Ur
57W–34L career · 3 lines in 2025
4%93%3%
3.75
Nat Newton
6W–5L career · no lines in 2025
30%70%<1%
3.57
Michelle Wong
23W–7L career · no lines in 2025
0%<1%>99%
3.54
Woo Kim
15W–10L career · no lines in 2025
<1%<1%>99%
3.48
Gregory Lau
13W–1L career · no lines in 2025
<1%62%38%
3.46
3.5
Alexandra Steele Cooper
21W–10L career · no lines in 2025
<1%67%33%
3.44
Tina Gong
9W–3L career · no lines in 2025
0%<1%>99%
3.40
3.5
Demmi Setyono
6W–14L career · no lines in 2025
<1%78%22%
3.39
3.5
Jenniffer Wong
200W–169L career · 1 line in 2025
1%88%11%
3.33
Ramiro Rivas
28W–16L career · no lines in 2025
<1%1%99%
3.31
Geoff Heminway
8W–6L career · no lines in 2025
6%92%2%
3.22
3.5
Andrea Wong
7W–3L career · no lines in 2025
16%84%1%
3.14
Jonathan Ly
39W–11L career · no lines in 2025
<1%18%82%
3.13
Jose Ochoa
17W–25L career · no lines in 2025
19%80%<1%
3.12
3
Amy Soong Tsai
89W–60L career · 5 lines in 2025
<1%79%21%
2.89
Sabrina Chang
29W–12L career · no lines in 2025
0%1%99%
2.84

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.