Teams

SGV Noobies B-Leitch-San Marino HS/SA12

2026 Winter Team Singles · SGV - Men 4.5

9 players · average NTRP 4.40 / SO.CALIFORNIA

View scouting list →
Schedule8 played
2026-03-22vs SGV LLW Grinders -Vo-La Habra/SU2Won 20
W#1 SinglesSebastian Koh vs Pablo Primucci7-5, 3-6, 1-0
W#3 SinglesNicholas Ambrosio vs EVAN CHANG6-2, 6-2
2026-03-08vs SGV Hit and Run-Rodriguez-WN/SU2Lost 12
W#1 SinglesBrandon Chan vs George Rodriguez6-3, 6-0
L#2 SinglesHuan Xu vs Mark Messana6-2, 2-6, 0-1
L#3 SinglesArturo Mateos vs Khang Nguyen3-6, 0-6
L#1 SinglesNicholas Ambrosio vs Alexander Ko2-6, 1-6
W#2 SinglesBill Petrocelli vs Leonardo Kim6-2, 6-3
L#3 SinglesArturo Mateos vs Jason Nam5-7, 4-6
W#1 SinglesBill Petrocelli vs Spinner Chingon Fok6-2, 6-1
L#2 SinglesSam Yang vs Chris Lin5-7, 4-6
L#3 SinglesHuan Xu vs Victor Paitimusa2-6, 3-6
2026-02-07vs SGV LLW Grinders -Vo-La Habra/SU2Lost 02
L#1 SinglesSebastian Koh vs Pablo Primucci6-3, 1-6, 0-1
L#2 SinglesJordan Cheng vs Timothy Chong6-7, 4-6
L#1 SinglesNicholas Ambrosio vs Alan Han6-4, 3-6, 1-0
W#2 SinglesBill Petrocelli vs Richard Phung6-3, 7-6
L#3 SinglesArturo Mateos vs Dastan Mazhetayev3-6, 1-6
L#1 SinglesSam Yang vs Victor Paitimusa6-4, 3-6, 1-0
L#2 SinglesArturo Mateos vs Chris Lin1-6, 1-6
2026-01-11vs SGV Hit and Run-Rodriguez-WN/SU2Won 21
W#1 SinglesBill Petrocelli vs Tunde Alele6-0, 6-4
W#2 SinglesJordan Cheng vs George Rodriguez6-2, 4-6, 1-0
L#3 SinglesSam Yang vs Khang Nguyen2-6, 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 standings3 teams · SGV - Men 4.5
TeamWLInd. WInd. LSets lostGames lost
1SGV LLW Grinders -Vo-La Habra/SU26219514174
2SGV Team Spin- Fok-San Marino HS/SU1253131127226
3SGV Noobies B-Leitch-San Marino HS/SA122691532221

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 3.92 estimated across 6 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.

4.30
Bill Petrocelli
usually #1 Singles 50%, also #2 Singles 50% · published 4.5
Adrian Tay
published 4.5
Brandon Chan
usually #1 Singles 100% · published 4.5
3.98
Nicholas Ambrosio
usually #1 Singles 67%, also #3 Singles 33% · published 4.5
3.97
Sebastian Koh
usually #1 Singles 100% · published
3.84
Huan Xu
usually #3 Singles 50%, also #2 Singles 50% · published
3.80
Sam Yang
usually #1 Singles 33%, also #3 Singles 33% · published
3.63
Arturo Mateos
usually #3 Singles 71%, also #1 Singles 14% · published 4
Jordan Cheng
usually #2 Singles 100% · 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.

Bill Petrocelli + Sam Yang213 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.

4.5
Bill Petrocelli
13W–7L career · 4 lines in 2026
2%91%8%
4.30
4.5
Adrian Tay
8W–6L career · no lines in 2026
not enough data
4.5
Brandon Chan
2W–1L career · type S · 1 line in 2026
not enough data
4.5
Nicholas Ambrosio
90W–53L career · 3 lines in 2026
56%44%<1%
3.98
Sebastian Koh
18W–9L career · 2 lines in 2026
<1%59%41%
3.97
Huan Xu
7W–7L career · 2 lines in 2026
88%12%<1%
3.84
Sam Yang
4W–10L career · 3 lines in 2026
<1%2%98%
3.80
4
Arturo Mateos
42W–43L career · 7 lines in 2026
18%81%<1%
3.63
Jordan Cheng
8W–10L 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.