Teams

SGV The Noobies- Lee-WN-SU 2

2022 Mixed Doubles - 18 & Over San Gabriel Valley · SGV - 8.0 Mixed Division

16 players · average NTRP 4.22 / 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 - 8.0 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 3.90 estimated across 13 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.

4.57
Aki Eguchi
usually #1 Doubles 75%, also #2 Doubles 25% · published 5
4.26
Eli Alejo
usually #1 Doubles 33%, also #3 Doubles 33% · published 4.5
James Lucero
published 4.5
4.12
Faye Patterson
published 4
4.09
Jennifer Portillo
published
4.03
Sam Yang
published
3.99
Nicholas Ambrosio
usually #1 Doubles 100% · published 4.5
3.98
Angelica Ramos
usually #3 Doubles 75%, also #1 Doubles 25% · published 4
3.92
David Lui
published 4
3.85
Alicia Villarino
usually #1 Doubles 75%, also #3 Doubles 25% · published 4
3.60
Rand Lee
published
3.54
Jonathan Mak
published
3.43
Jeffrey Kwok
published
3.34
Jenniffer Wong
usually #3 Doubles 100% · published 3.5
Patrick Lustado
published
Zachary Ambrosio
published
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.

Nicholas Ambrosio + Angelica Ramos123 matchesnot enough data
Eli Alejo + Jenniffer Wong213 matchesnot enough data
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
Aki Eguchi
166W–100L career · 4 lines in 2022
29%71%<1%
4.57
4.5
Eli Alejo
97W–73L career · 3 lines in 2022
2%94%3%
4.26
4.5
James Lucero
0W–1L career · no lines in 2022
not enough data
4
Faye Patterson
24W–9L career · no lines in 2022
<1%19%81%
4.12
Jennifer Portillo
1W–2L career · no lines in 2022
23%76%<1%
4.09
Sam Yang
4W–10L career · no lines in 2022
41%59%<1%
4.03
4.5
Nicholas Ambrosio
90W–53L career · 2 lines in 2022
52%48%<1%
3.99
4
Angelica Ramos
103W–56L career · 4 lines in 2022
<1%56%44%
3.98
4
David Lui
7W–4L career · no lines in 2022
<1%73%27%
3.92
4
Alicia Villarino
65W–13L career · 4 lines in 2022
<1%86%13%
3.85
Rand Lee
2W–20L career · no lines in 2022
21%79%<1%
3.60
Jonathan Mak
3W–6L career · no lines in 2022
36%64%<1%
3.54
Jeffrey Kwok
2W–8L career · no lines in 2022
70%30%<1%
3.43
3.5
Jenniffer Wong
200W–169L career · 1 line in 2022
<1%88%11%
3.34
Patrick Lustado
0W–2L career · no lines in 2022
not enough data
Zachary Ambrosio
1W–1L 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.