Teams

SGV Skyline- Chan - WN/SU8

2022 SoCal Doubles 18 & Over - San Gabriel Valley · SGV - Men 4.0

9 players · average NTRP 3.75 / SO.CALIFORNIA

View scouting list →
Schedule6 played
2022-11-14Won 10
W#3 DoublesBrian Chan / Dave Kang vs N/A6-0, 6-0
2022-11-06Lost 01
L#3 DoublesDave Kang / Allen Ancheta vs Kyle Yip / Arthur Yip2-6, 5-7
L#3 DoublesDave Kang / Michael Pak vs Shawn ONeill / Willie Yeh6-4, 3-6, 1-0
W#3 DoublesDave Kang / Daniel Riekes vs PETER CHANG / John Byeon6-3, 6-3
2022-10-02vs SGV The Noobies-R Lee-WN/SU2Lost 01
L#3 DoublesDave Kang / Philip Phung vs Darren Wong / Terrance Tang4-6, 5-7
L#1 DoublesDave Kang / Jeffrey Lin vs James Hodge / Yukishi Yamamoto6-4, 3-6, 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 SGV - 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 3.66 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.

4.04
Richard Phung
published
3.77
Philip Phung
published
3.77
Dave Kang
usually #3 Doubles 83%, also #1 Doubles 17% · published 4
3.72
Won Cho
published
3.45
Justin Lee
published
3.20
Daniel Riekes
published 3.5
Jerry Waliry
published
Michael Pak
published
Milton Parada
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.

Richard Phung
2W–5L career · no lines in 2022
37%63%<1%
4.04
Philip Phung
3W–1L career · no lines in 2022
2%94%4%
3.77
4
Dave Kang
138W–129L career · 6 lines in 2022
2%94%4%
3.77
Won Cho
13W–14L career · no lines in 2022
4%94%2%
3.72
Justin Lee
13W–5L career · no lines in 2022
<1%66%34%
3.45
3.5
Daniel Riekes
4W–9L career · type A · no lines in 2022
6%93%1%
3.20
Jerry Waliry
1W–7L career · no lines in 2022
not enough data
Michael Pak
2W–3L career · no lines in 2022
not enough data
Milton Parada
0W–2L 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.