Teams

SGV Dare Doubles-Flores-WN-SU10

2022 Mixed Tri Level -18 &Over-San Gabriel Valley · SGV - 3.5

12 players · average NTRP 4.10 / 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 - 3.5 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 3.71 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.

4.33
ISMAEL RODRIGUEZ
published 4.5
4.28
Pablo Primucci
published
4.11
Diana Laguna
published 4.5
4.03
Martin Jay Rodiles
published
3.78
Cara Hofstad
usually #1 Doubles 60%, also #2 Doubles 40% · published 4
Gustavo Banderas
published 4
3.45
Stacey Zhao
published
3.36
Ted Shen
published
3.34
AARON H. CHEN
published 3.5
3.27
Leslie Jiang
published
3.15
Tammy Hung
published
Ronalyn Raymundo
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.

4.5
ISMAEL RODRIGUEZ
18W–10L career · no lines in 2022
1%90%9%
4.33
Pablo Primucci
15W–3L career · no lines in 2022
2%94%5%
4.28
4.5
Diana Laguna
3W–7L career · type A · no lines in 2022
20%80%<1%
4.11
Martin Jay Rodiles
5W–5L career · no lines in 2022
<1%42%58%
4.03
4
Cara Hofstad
218W–155L career · 5 lines in 2022
2%94%5%
3.78
4
Gustavo Banderas
0W–1L career · type M · no lines in 2022
not enough data
Stacey Zhao
2W–2L career · no lines in 2022
<1%65%35%
3.45
Ted Shen
21W–16L career · no lines in 2022
<1%85%14%
3.36
3.5
AARON H. CHEN
6W–2L career · no lines in 2022
<1%88%11%
3.34
Leslie Jiang
4W–6L career · no lines in 2022
2%94%4%
3.27
Tammy Hung
3W–12L career · no lines in 2022
12%88%<1%
3.15
Ronalyn Raymundo
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.