Teams

LA-LLW-Team Quan-Jarrod Quan

2023 USTA MxD 18 & Over - LA · LA - 10.0 Mixed Doubles

19 players · average NTRP 5.00 / 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 →
Schedule2 played
2023-04-01vs LA - Sets and the CityWon 10
W#1 DoublesSabrina Man-Son-Hing / Bruce Man-Son-Hing vs Carmen Blanco / Javier Ayarza6-3, 3-6, 1-0
2023-03-04vs LA - 10/10 10.0 MixedWon 10
W#2 DoublesSabrina Man-Son-Hing / Bruce Man-Son-Hing vs Maria Lupu / Joshua Friedman6-2, 6-4
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 LA - 10.0 Mixed Doubles 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 4.61 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.

4.91
Ruben Alberts
published
4.84
Tricia Mar
published
4.80
Dianne Matias
published 5
4.79
Attila Lassu
published 5
Andrew Mawire
published 5
Bianca Pugliese
published 5
4.74
Geoffrey Chizever
published
4.67
Sabrina Man-Son-Hing
usually #2 Doubles 50%, also #1 Doubles 50% · published 0
4.57
Javeed Kassam
published
4.53
MacKenzie Hotan
published
4.52
Hunter Kettering
published
4.34
Grace Lim
published
4.03
India Hoffman
published
Evan Jurgensen
published
Jarrod Quan
published
Joseph Lok
published
Katherine Nguyen
published
Megan Heneghan
published
Tova Blum
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.

Ruben Alberts
9W–2L career · no lines in 2023
no projection at this level
4.91
Tricia Mar
8W–3L career · no lines in 2023
no projection at this level
4.84
5
Dianne Matias
3W–2L career · no lines in 2023
no projection at this level
4.80
5
Attila Lassu
3W–2L career · no lines in 2023
no projection at this level
4.79
5
Andrew Mawire
0W–1L career · no lines in 2023
not enough data
5
Bianca Pugliese
2W–0L career · no lines in 2023
not enough data
Geoffrey Chizever
9W–2L career · no lines in 2023
no projection at this level
4.74
0
Sabrina Man-Son-Hing
9W–7L career · 2 lines in 2023
no projection at this level
4.67
Javeed Kassam
10W–10L career · no lines in 2023
no projection at this level
4.57
MacKenzie Hotan
1W–2L career · no lines in 2023
no projection at this level
4.53
Hunter Kettering
9W–9L career · no lines in 2023
no projection at this level
4.52
Grace Lim
0W–3L career · no lines in 2023
no projection at this level
4.34
India Hoffman
3W–7L career · no lines in 2023
42%58%<1%
4.03
Evan Jurgensen
1W–1L career · no lines in 2023
not enough data
Jarrod Quan
0W–1L career · no lines in 2023
not enough data
Joseph Lok
2W–2L career · no lines in 2023
not enough data
Katherine Nguyen
1W–2L career · no lines in 2023
not enough data
Megan Heneghan
1W–1L career · no lines in 2023
not enough data
Tova Blum
1W–0L career · no lines in 2023
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.