Teams

SGV LLW Underdogs Aces-Bui-Diamond Bar HS/SU8

2026 Adult Division - 40& Over San Gabriel Valley · SGV - Men 4.0

13 players · average NTRP 3.92 / 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 →
Schedule3 played
2026-02-21vs SGV Dare Doubles-Maroun-WN/SA2Won 40
W#1 DoublesDarren Wong / Jonathan Talbot vs James Grollman / Ricky Jalandoni6-2, 6-0
W#1 SinglesWalther Rodriguez vs Sam Qian6-0, 4-1
W#2 DoublesPeter Cheng / ZaiJun Lu vs Charles Maroun / Ernie Maldonado6-2, 6-0
W#3 DoublesMichael Vasquez / CHIH HAO PAN vs Jon Pang / Josh Berman6-2, 6-2
W#1 DoublesJonathan Talbot / Darren Wong vs Kyle McCain / Blason Taon6-3, 6-2
W#1 SinglesMichael Pang vs Clay Tweel6-1, 6-1
W#2 DoublesLam Bui / Michael Vasquez vs Woo Kim / Joseph Dychioco4-6, 6-2, 1-0
W#3 DoublesVictor Nuguid / Feibi Liu vs Steinway Huang / Sang Ur6-3, 6-3
2026-02-01vs SGV ATCC Rising-Rivas-ATCC/SA12Won 31
L#1 DoublesMichael Vasquez / ZaiJun Lu vs Dave Sparks / John Tatoulian6-4, 0-6, 0-1
W#1 SinglesWalther Rodriguez vs Andy Miller6-1, 6-1
W#2 DoublesRobert Chang / Peter Cheng vs Phillip Lee / Sam Bruchey6-4, 6-3
W#3 DoublesAndrew Mesdjian / CHIH HAO PAN vs Robert Altman / Wade Metzler6-1, 6-2
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 standings4 teams · SGV - Men 4.0
TeamWLInd. WInd. LSets lostGames lost
1SGV LLW Underdogs Aces-Bui-Diamond Bar HS/SU86224819212
2SGV Tennis Addicts-James Lee-Arroyo HS/Su1244191329254
3SGV ATCC Rising-Rivas-ATCC/SA1244131941300
4SGV Dare Doubles-Maroun-WN/SA20813162382

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 3.82 estimated across 11 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.

4.07
Michael Pang
usually #1 Singles 100% · published
3.95
Victor Nuguid
usually #2 Doubles 33%, also #3 Doubles 33% · published 4
3.93
Walther Rodriguez
usually #1 Singles 100% · published
3.89
Darren Wong
usually #1 Doubles 100% · published 4
3.85
Andrew Mesdjian
usually #3 Doubles 100% · published 4
3.83
Jonathan Talbot
usually #1 Doubles 100% · published
3.81
Peter Cheng
usually #2 Doubles 100% · published
3.74
Feibi Liu
usually #3 Doubles 100% · published 4
3.73
CHIH HAO PAN
usually #3 Doubles 100% · published 4
3.69
Lam Bui
usually #2 Doubles 100% · published
3.54
Michael Vasquez
usually #2 Doubles 33%, also #3 Doubles 33% · published
Chinna Ponnaganti
usually #2 Doubles 100% · published 3.5
ZaiJun Lu
usually #2 Doubles 50%, also #1 Doubles 50% · 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.

Peter Cheng + Lam Bui213 matchesnot 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.

Michael Pang
20W–9L career · 1 line in 2026
<1%28%72%
4.07
4
Victor Nuguid
112W–94L career · 6 lines in 2026
<1%64%36%
3.95
Walther Rodriguez
3W–1L career · 2 lines in 2026
<1%70%30%
3.93
4
Darren Wong
18W–7L career · 2 lines in 2026
<1%81%19%
3.89
4
Andrew Mesdjian
7W–5L career · 1 line in 2026
<1%88%12%
3.85
Jonathan Talbot
5W–7L career · 2 lines in 2026
1%90%10%
3.83
Peter Cheng
7W–4L career · 2 lines in 2026
1%92%7%
3.81
4
Feibi Liu
7W–4L career · 1 line in 2026
3%95%2%
3.74
4
CHIH HAO PAN
3W–3L career · 2 lines in 2026
4%94%2%
3.73
Lam Bui
12W–13L career · 1 line in 2026
8%92%1%
3.69
Michael Vasquez
10W–10L career · 3 lines in 2026
38%62%<1%
3.54
3.5
Chinna Ponnaganti
1W–4L career · 1 line in 2026
not enough data
ZaiJun Lu
2W–1L career · 2 lines in 2026
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.