Teams

SGV Noobies A-J. Cheng-San Marino HS/SA2

2025 Winter Team Singles · SGV - Men 4.5

7 players · average NTRP 4.50 / SO.CALIFORNIA

View scouting list →
Schedule9 played
2025-04-06vs SGV Team Spin- Fok-San Dimas/SU12Won 20
W#1 SinglesJordan Cheng vs Spinner Chingon Fok6-1, 6-4
W#2 SinglesCuong Minh Tran vs Judah Momon6-1, 6-4
L#3 SinglesRand Lee vs Alan Han2-6, 2-6
2025-03-16vs SGV Grinders 4.0-Vo-La Habra/SU10Won 21
W#1 SinglesCuong Minh Tran vs Eric Sandoval6-4, 7-6
W#2 SinglesJordan Cheng vs Jonathan Mak6-1, 6-4
L#3 SinglesRand Lee vs Hien Le2-6, 2-6
W#1 SinglesCuong Minh Tran vs Adrian Tay7-5, 4-6, 1-0
L#3 SinglesWallace Lee vs Alan Han2-6, 0-6
2025-02-22vs SGV Grinders 4.0-Vo-La Habra/SU10Lost 02
L#1 SinglesJordan Fein vs Ky Vo6-7, 6-1, 0-1
L#2 SinglesJordan Cheng vs Ryan Cox0-6, 6-4, 0-1
2025-02-16vs SGV Team Spin- Fok-San Dimas/SU12Won 20
W#1 SinglesJordan Fein vs Judah Momon6-4, 2-6, 1-0
W#2 SinglesHe Yang Li vs Kyle McCain6-3, 6-4
L#1 SinglesEric Leong vs Cedric Lozano5-7, 1-6
W#2 SinglesCuong Minh Tran vs Alan Han6-4, 6-0
L#3 SinglesWallace Lee vs Sebastian Koh7-5, 2-6, 0-1
2025-02-02vs SGV Grinders 4.0-Vo-La Habra/SU10Lost 12
W#1 SinglesHe Yang Li vs Ryan Cox7-6, 6-7, 1-0
L#2 SinglesJordan Cheng vs Hien Le4-6, 2-6
L#3 SinglesWallace Lee vs Michael Pang2-6, 0-6
2025-02-01vs SGV Team Spin- Fok-San Dimas/SU12Lost 12
W#1 SinglesJordan Cheng vs Spinner Chingon Fok6-0, 2-6, 1-0
L#2 SinglesEric Leong vs Judah Momon7-5, 2-6, 0-1
L#3 SinglesRand Lee vs Kyle McCain3-6, 0-6
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 - Men 4.5 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 3.71 estimated across 3 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.

Cuong Minh Tran
usually #2 Singles 50%, also #1 Singles 50% · published 4.5
3.98
He Yang Li
usually #1 Singles 50%, also #2 Singles 50% · published
3.69
Wallace Lee
usually #3 Singles 100% · published
3.46
Rand Lee
usually #3 Singles 100% · published
Eric Leong
usually #2 Singles 50%, also #1 Singles 50% · published
Jordan Cheng
usually #2 Singles 60%, also #1 Singles 40% · published
Jordan Fein
usually #1 Singles 100% · 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.

4.5
Cuong Minh Tran
4W–2L career · 4 lines in 2025
not enough data
He Yang Li
10W–4L career · 2 lines in 2025
<1%<1%>99%
3.98
Wallace Lee
4W–8L career · 3 lines in 2025
9%90%1%
3.69
Rand Lee
2W–20L career · 3 lines in 2025
<1%61%39%
3.46
Eric Leong
1W–4L career · 2 lines in 2025
not enough data
Jordan Cheng
8W–10L career · 5 lines in 2025
not enough data
Jordan Fein
3W–3L career · 2 lines in 2025
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.