Teams

SFV LLW - CalabasHoles - Neal Skuro

2022 Adult 18 & Over - SFV · SFV 18 & Over - Men 4.5

17 players · average NTRP 4.75 / 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 →
Schedule3 played
2022-06-26vs SFV Club Osa - Men 4.5Won 10
W#2 DoublesNicholas de Goede / Solomon Daud vs Ashish Bangar / Saeed Saed6-7, 7-5, 1-0
2022-06-19vs SFV AnarchyWon 10
W#1 SinglesNicholas de Goede vs James Ciuffo6-3, 6-4
2022-05-22vs SFV AnarchyWon 10
W#3 DoublesNicholas de Goede / Jason Gorman vs David Lubnow / Brandon Su6-4, 6-3
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 18 & Over - Men 4.5 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 4.30 estimated across 12 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.

4.83
Hans Hettich
published 5
Daniel Sutman
published 5
Eugene Shin
published 5
4.55
Eugene Tran
published 5
4.47
Nicolas Stansbury
published
4.45
Shane Garrett
published
4.28
Jason Gorman
published
4.24
Ivan Salazar
published 4.5
4.23
Daniel Nolan
published 4.5
4.20
Michael Marley
published
4.17
Nicholas de Goede
usually #3 Doubles 33%, also #1 Singles 33% · published 4.5
4.15
Bill Willis
published 4.5
4.07
Jorge Reyes
published
3.94
Rob Stone
published
Joseph Young
published
Neal Skuro
published
Solomon Daud
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.

Hans Hettich + Eugene Shin123 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
Hans Hettich
11W–13L career · no lines in 2022
1%90%10%
4.83
5
Daniel Sutman
6W–1L career · no lines in 2022
not enough data
5
Eugene Shin
4W–4L career · no lines in 2022
not enough data
5
Eugene Tran
5W–9L career · no lines in 2022
35%65%<1%
4.55
Nicolas Stansbury
8W–5L career · no lines in 2022
60%40%<1%
4.47
Shane Garrett
14W–7L career · no lines in 2022
<1%65%35%
4.45
Jason Gorman
3W–3L career · no lines in 2022
2%94%4%
4.28
4.5
Ivan Salazar
3W–3L career · no lines in 2022
3%95%2%
4.24
4.5
Daniel Nolan
3W–6L career · no lines in 2022
4%94%2%
4.23
Michael Marley
11W–12L career · no lines in 2022
6%93%1%
4.20
4.5
Nicholas de Goede
81W–47L career · 3 lines in 2022
9%90%1%
4.17
4.5
Bill Willis
1W–2L career · no lines in 2022
12%88%<1%
4.15
Jorge Reyes
4W–2L career · no lines in 2022
29%71%<1%
4.07
Rob Stone
3W–3L career · no lines in 2022
68%32%<1%
3.94
Joseph Young
1W–2L career · no lines in 2022
not enough data
Neal Skuro
0W–2L career · no lines in 2022
not enough data
Solomon Daud
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.