Teams

LA - Queen Anne

2022 SoCal Doubles - LA · LA - Men 4.0

12 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 →

Flight standings for LA - 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 3.56 estimated across 10 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.

Eugene Zhou
published 4.5
4.22
Bryan Hudson
published 4.5
3.82
Jack Burton
published 4
Bryan Welch
published 4
3.74
Thomas Eisenhauer
published
3.71
Jino Choi
published
3.55
Anil Punyapu
published 4
3.54
Andrew Chon
published 4
3.47
Daniel McDonald
published 4
3.43
Nigel Lizaranzu
published
3.14
Pablo Caporaso
published
3.00
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.

Jack Burton + Jino Choi5062% games+3.0% vs expected
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
Eugene Zhou
1W–0L career · no lines in 2022
not enough data
4.5
Bryan Hudson
17W–11L career · no lines in 2022
4%94%2%
4.22
4
Jack Burton
6W–0L career · no lines in 2022
1%91%9%
3.82
4
Bryan Welch
17W–10L career · no lines in 2022
not enough data
Thomas Eisenhauer
3W–2L career · no lines in 2022
3%94%2%
3.74
Jino Choi
7W–2L career · no lines in 2022
5%94%1%
3.71
4
Anil Punyapu
14W–16L career · no lines in 2022
36%64%<1%
3.55
4
Andrew Chon
1W–5L career · no lines in 2022
39%61%<1%
3.54
4
Daniel McDonald
3W–2L career · no lines in 2022
59%41%<1%
3.47
Nigel Lizaranzu
3W–7L career · no lines in 2022
69%31%<1%
3.43
Pablo Caporaso
3W–5L career · no lines in 2022
14%86%<1%
3.14
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.