Teams

SoCal/Tang/Mixed18&Over9.0

2023 Mixed Doubles - 18 & Over San Gabriel Valley · SGV - 9.0 Mixed Division

12 players · average NTRP 4.62 / 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 SGV - 9.0 Mixed Division 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 4.41 estimated across 9 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.

4.74
4.70
Mandi Collier
usually #3 Doubles 67%, also #2 Doubles 33% · published 5
4.62
Leticia Alcala
usually #3 Doubles 67%, also #1 Doubles 33% · published 5
4.61
Maria Lupu
published
4.56
EDWARD CHOI
published 5
4.44
Yuri Nichelson
usually #2 Doubles 50%, also #3 Doubles 50% · published 4.5
4.27
Colin Tang
published 4
4.19
Stella Ko
usually #2 Doubles 100% · published 4.5
3.60
Anthony Lim
published 4
Marcel Contin
published
Megan Bee
published
Robert Birmingham
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.

5
Jacqueline Resler
6W–10L career · no lines in 2023
3%95%2%
4.74
5
Mandi Collier
188W–89L career · 3 lines in 2023
6%93%1%
4.70
5
Leticia Alcala
160W–102L career · 3 lines in 2023
19%81%<1%
4.62
Maria Lupu
4W–6L career · no lines in 2023
20%80%<1%
4.61
5
EDWARD CHOI
4W–9L career · no lines in 2023
32%68%<1%
4.56
4.5
Yuri Nichelson
207W–73L career · 2 lines in 2023
<1%67%33%
4.44
4
Colin Tang
17W–2L career · no lines in 2023
<1%2%98%
4.27
4.5
Stella Ko
85W–31L career · 2 lines in 2023
8%92%1%
4.19
4
Anthony Lim
8W–0L career · no lines in 2023
22%78%<1%
3.60
Marcel Contin
4W–7L career · no lines in 2023
not enough data
Megan Bee
5W–0L career · no lines in 2023
not enough data
Robert Birmingham
4W–4L 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.