Teams

LA-LLW-Queen Anne-Ike Jun

2022 SoCal Doubles - LA · LA - Men 4.5

14 players · average NTRP 4.28 / 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 →

Flight standings for LA - 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 3.99 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.

Andrew Ong
published 5
4.34
Andy To
published 4.5
4.32
Victor Paitimusa
published
4.32
Patrick Tan
published
Frederik Vig
published 4.5
4.18
Ik Jun
published 4.5
4.12
Chris Hiromura
published 4.5
4.12
Vishal Raghunath
published
4.09
Spinner Chingon Fok
published
4.06
Gene Park
published 4.5
3.83
Jongjin Lee
published
David Kim
published 4
3.54
Andrew Chon
published 4
3.00
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.

5
Andrew Ong
0W–1L career · no lines in 2022
not enough data
4.5
Andy To
8W–3L career · no lines in 2022
<1%88%12%
4.34
Victor Paitimusa
7W–2L career · no lines in 2022
1%91%8%
4.32
Patrick Tan
9W–0L career · no lines in 2022
1%91%8%
4.32
4.5
Frederik Vig
1W–4L career · no lines in 2022
not enough data
4.5
Ik Jun
7W–7L career · no lines in 2022
8%91%1%
4.18
4.5
Chris Hiromura
4W–9L career · no lines in 2022
17%82%<1%
4.12
Vishal Raghunath
4W–7L career · no lines in 2022
19%81%<1%
4.12
Spinner Chingon Fok
14W–10L career · no lines in 2022
24%75%<1%
4.09
4.5
Gene Park
7W–10L career · no lines in 2022
33%67%<1%
4.06
Jongjin Lee
9W–6L career · no lines in 2022
<1%1%99%
3.83
4
David Kim
8W–1L career · no lines in 2022
not enough data
4
Andrew Chon
1W–5L career · no lines in 2022
39%61%<1%
3.54
3
Cinderella Gatcheco
49W–34L career · no lines in 2022
<1%51%49%
3.00

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.