Teams

SGV LLW Noobies B-Leitch-San Marino HS/SA10

2025 Winter Team Singles · SGV - Men 4.5

7 players · average NTRP 4.50 / SO.CALIFORNIA

View scouting list →
Schedule6 played
L#1 SinglesAdrian Tay vs Michael Cheng4-6, 4-6
L#2 SinglesSebastian Koh vs Raymond Thai4-6, 3-6
W#3 SinglesAlan Han vs Rand Lee6-2, 6-2
2025-03-16vs SGV Team Spin- Fok-San Dimas/SU12Won 21
L#1 SinglesSam Yang vs Spinner Chingon Fok3-6, 3-6
W#2 SinglesAlan Han vs Judah Momon6-0, 6-0
W#3 SinglesBill Petrocelli vs Kyle McCain6-0, 3-0
L#1 SinglesAdrian Tay vs Cuong Minh Tran5-7, 6-4, 0-1
L#2 SinglesSebastian Koh vs Raymond Thai3-6, 3-6
W#3 SinglesAlan Han vs Wallace Lee6-2, 6-0
2025-02-23vs SGV Team Spin- Fok-San Dimas/SU12Won 21
W#1 SinglesBill Petrocelli vs Judah Momon6-2, 6-0
L#2 SinglesAlan Han vs Spinner Chingon Fok5-7, 2-6
W#3 SinglesSam Yang vs Kyle McCain6-3, 6-1
2025-02-22vs SGV Team Spin- Fok-San Dimas/SU12Won 20
W#1 SinglesCedric Lozano vs Judah Momon6-3, 6-1
W#2 SinglesAdrian Tay vs Kyle McCain6-4, 6-4
W#1 SinglesCedric Lozano vs Eric Leong7-5, 6-1
L#2 SinglesAlan Han vs Cuong Minh Tran4-6, 0-6
W#3 SinglesSebastian Koh vs Wallace Lee5-7, 6-2, 1-0
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 4.08 estimated across 5 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 #3 Singles 50%, also #1 Singles 50% · published 4.5
Adrian Tay
usually #1 Singles 67%, also #2 Singles 33% · published 4.5
4.24
Cedric Lozano
usually #1 Singles 100% · published 4.5
4.08
Alan Han
usually #2 Singles 60%, also #3 Singles 40% · published 4.5
3.97
Sebastian Koh
usually #2 Singles 67%, also #3 Singles 33% · published
3.80
Sam Yang
usually #1 Singles 50%, also #3 Singles 50% · published
Sang Kil
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
Sebastian Koh + Alan Han033 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 · 2 lines in 2025
2%91%8%
4.30
4.5
Adrian Tay
8W–6L career · 3 lines in 2025
not enough data
4.5
Cedric Lozano
5W–3L career · 2 lines in 2025
4%93%3%
4.24
4.5
Alan Han
21W–13L career · 5 lines in 2025
28%72%<1%
4.08
Sebastian Koh
18W–9L career · 3 lines in 2025
<1%59%41%
3.97
Sam Yang
4W–10L career · 2 lines in 2025
<1%2%98%
3.80
Sang Kil
3W–0L career · no 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.