Teams

SGV The Noobies-R Lee-WN/SU2

2022 SoCal Doubles 18 & Over - San Gabriel Valley · SGV - Men 4.0

14 players · average NTRP 4.30 / SO.CALIFORNIA

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Schedule6 played
L#2 DoublesDerik Dizon / Eli Alejo vs Nate Miller / Michael Porter5-7, 3-6
2022-11-14vs SGV Triforces - Li-WN/SA 10Split 11
W#2 DoublesEli Alejo / Derik Dizon vs David Li / George Llewellyn3-6, 7-5, 1-0
L#3 DoublesNicholas Ambrosio / Kevin Lam vs George Rodriguez / Joseph Widman4-6, 6-7
2022-11-13vs SGV Rice and Beans-A.Yip-WN-SA10Lost 01
L#1 DoublesNicholas Ambrosio / Leo Chuang vs Dwight Guinto / John Campos3-6, 3-6
L#3 DoublesEli Alejo / Darren Wong vs Jermaine Montgomery / Amardeep Jawandha3-6, 6-7
W#3 DoublesEli Alejo / Howard Lin vs Sam Qian / Fred Stevens6-2, 6-2
W#2 DoublesNicholas Ambrosio / James Lucero vs Andrew Mesdjian / Sudhagar Subbiyan6-1, 6-2
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 SGV - 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 3.82 estimated across 8 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.

4.26
Eli Alejo
usually #3 Doubles 57%, also #2 Doubles 43% · published 4.5
James Lucero
published 4.5
4.03
Martin Chi
published
4.03
Sam Yang
published
3.99
Nicholas Ambrosio
usually #2 Doubles 67%, also #1 Doubles 17% · published 4.5
3.89
Darren Wong
published 4
Hea Kim
published 4
3.60
Rand Lee
published
3.43
Jeffrey Kwok
published
3.30
Leo Chuang
published
Jordan Cheng
published
Patrick Lustado
published
Reeve Alvin Estioko
published
Terrance Tang
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
Eli Alejo
97W–73L career · 7 lines in 2022
2%94%3%
4.26
4.5
James Lucero
0W–1L career · no lines in 2022
not enough data
Martin Chi
19W–14L career · no lines in 2022
<1%41%59%
4.03
Sam Yang
4W–10L career · no lines in 2022
41%59%<1%
4.03
4.5
Nicholas Ambrosio
90W–53L career · 6 lines in 2022
52%48%<1%
3.99
4
Darren Wong
18W–7L career · no lines in 2022
<1%81%19%
3.89
4
Hea Kim
2W–0L career · no lines in 2022
not enough data
Rand Lee
2W–20L career · no lines in 2022
21%79%<1%
3.60
Jeffrey Kwok
2W–8L career · no lines in 2022
70%30%<1%
3.43
Leo Chuang
1W–2L career · no lines in 2022
1%93%6%
3.30
Jordan Cheng
8W–9L career · no lines in 2022
not enough data
Patrick Lustado
0W–2L career · no lines in 2022
not enough data
Reeve Alvin Estioko
1W–3L career · no lines in 2022
not enough data
Terrance Tang
0W–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.