Teams

BC-PVTC/SteveLiaw

2022 ADULT 18 & OVER - Beach Cities · BC Men - 4.0

15 players · average NTRP 4.00 / 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 →
Schedule5 played
2022-06-04vs BC-MCC/TonyRojkoLost 01
L#1 DoublesChristopher Corman / Robert Mullarkey vs John Shure / Rick Rumpp3-6, 6-4, 1-0
2022-05-28vs BC-Kramer/BrianKebschullLost 01
L#2 DoublesSteve Liaw / Robert Mullarkey vs Brian Kebschull / Nicholas Starinieri3-6, 6-7
2022-05-14vs BC-SealBeachTennis/KrisVogtWon 10
W#3 DoublesChristopher Corman / Robert Mullarkey vs Mark Mihalco / Robert Negrete6-2, 1-6, 1-0
2022-04-23vs BC-RedondoUnionHigh/AsamSheikhLost 01
L#3 DoublesDavid Cheng / Guofu Tan vs Gene Kim / Steven Kigawa0-6, 4-6
2022-04-09vs BC-LLW-WestEnd/ArtWongLost 01
L#3 DoublesJames Flick / Guofu Tan vs Arthur Wong / Robert Slack7-6, 6-7, 0-1
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 BC Men - 4.0 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 3.58 estimated across 13 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.

4.11
Stephen Amstutz
published
3.85
David Cheng
published 4
3.80
Josh Goldstein
published
3.78
Loyd Villanueva
published 4
3.75
Steve Liaw
published
3.71
John Shigekawa
published
3.69
Ronald Kong
published
3.65
Tom Nguyen
published
3.42
Robert Mullarkey
usually #3 Doubles 33%, also #2 Doubles 33% · published
3.35
Guofu Tan
usually #3 Doubles 100% · published 4
3.28
Thad Malit
published
3.11
Jonathan Lane
published
3.00
Tom Wheeler
published
Roland Rietz
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.

Stephen Amstutz
4W–7L career · no lines in 2022
20%80%<1%
4.11
4
David Cheng
3W–0L career · no lines in 2022
<1%86%13%
3.85
Josh Goldstein
3W–1L career · no lines in 2022
1%93%6%
3.80
4
Loyd Villanueva
29W–38L career · no lines in 2022
2%94%4%
3.78
4
Christopher Corman
0W–2L career · type A · no lines in 2022
not enough data
Steve Liaw
5W–3L career · no lines in 2022
3%95%3%
3.75
John Shigekawa
4W–4L career · no lines in 2022
5%93%1%
3.71
Ronald Kong
4W–5L career · no lines in 2022
7%92%1%
3.69
Tom Nguyen
4W–2L career · no lines in 2022
12%88%<1%
3.65
Robert Mullarkey
48W–59L career · 3 lines in 2022
73%27%<1%
3.42
4
Guofu Tan
8W–20L career · 2 lines in 2022
87%13%<1%
3.35
Thad Malit
3W–6L career · no lines in 2022
2%94%5%
3.28
Jonathan Lane
8W–2L career · no lines in 2022
<1%20%80%
3.11
Tom Wheeler
5W–17L career · no lines in 2022
<1%50%50%
3.00
Roland Rietz
1W–0L career · no lines in 2022
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.