Teams

SFV LLW - Northridge Quakes - Joe Chan

2022 SoCal Fall Doubles 18+ SFV · SFV - Men 4.0

12 players · average NTRP 4.00 / 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
2022-10-29vs SFV - The 300'sWon 10
W#1 DoublesStephen Nettelhorst / Phillip Nguyen vs Terry Hazell / George Padgett6-3, 6-3
2022-09-24vs SFV - DominatorsWon 10
W#2 DoublesStephen Nettelhorst / Billy Kim vs Won Cho / Timothy Chun6-0, 7-5
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 SFV - 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 3.94 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.

Alan Esguerra
published 4.5
4.23
Joe Chan
published
4.21
Sebastien Damas
published
4.06
Shane Duffy
published
4.03
Nick Litvinov
published
4.03
Stephen Nettelhorst
usually #2 Doubles 50%, also #1 Doubles 50% · published 4
3.98
Michael Tan
published
3.93
Marcus Liou
published
3.91
Tunde Alele
published
3.91
Scott Conroy
published
3.68
Steve Oetomo
published
3.39
Daniel Iwata
published 3.5
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
Alan Esguerra
0W–1L career · no lines in 2022
not enough data
Joe Chan
13W–7L career · no lines in 2022
4%94%2%
4.23
Sebastien Damas
4W–2L career · no lines in 2022
6%93%1%
4.21
Shane Duffy
25W–21L career · no lines in 2022
33%67%<1%
4.06
Nick Litvinov
2W–3L career · no lines in 2022
41%59%<1%
4.03
4
Stephen Nettelhorst
157W–52L career · 2 lines in 2022
<1%41%59%
4.03
Michael Tan
3W–4L career · no lines in 2022
57%43%<1%
3.98
Marcus Liou
8W–6L career · no lines in 2022
71%29%<1%
3.93
Tunde Alele
5W–5L career · no lines in 2022
<1%76%24%
3.91
Scott Conroy
8W–1L career · no lines in 2022
<1%76%23%
3.91
Steve Oetomo
9W–3L career · no lines in 2022
9%91%1%
3.68
3.5
Daniel Iwata
4W–3L career · no lines in 2022
<1%79%21%
3.39

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.