Teams

SGV LLW ATCC Rising-Rivas-ATCC/SU3

2025 SoCal FALL Team Singles · SGV - Men 4.0

11 players · average NTRP 3.88 / 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 →
Schedule6 played
W#1 SinglesJoseph Widman vs Arturo Mateos6-2, 6-3
W#2 SinglesNick Leonard vs Jason Nam6-4, 7-5
2025-10-19vs SGV Hit and Run-Rodriguez-WN/SU2Lost 03
L#1 SinglesRamiro Rivas vs Stever Leung2-6, 0-6
L#2 SinglesJoseph Widman vs Khang Nguyen2-6, 3-6
L#3 SinglesDave DeCsepel vs Michael Wang6-2, 2-6, 0-1
2025-10-12vs SGV Triforces-D.Li-WN/SU10Won 10
W#2 SinglesKeane Tarrosa vs Roger Wang4-6, 6-3, 1-0
W#2 SinglesKeane Tarrosa vs Sheridan Sackett4-6, 6-0, 1-0
L#1 SinglesWilliam Thomson vs Alan Han1-6, 0-6
W#2 SinglesJoseph Widman vs Dastan Mazhetayev6-2, 6-3
W#3 SinglesRamiro Rivas vs Thai Nguyen6-0, 6-1
W#1 SinglesJoseph Widman vs Juan Francisco JR Betancourt6-2, 6-4
W#2 SinglesNick Leonard vs Daniel Reyes Loaiza6-4, 6-2
W#3 SinglesMatthew Nix vs Bill Michels5-7, 6-4, 1-0
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 3.57 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.

3.87
Keane Tarrosa
usually #2 Singles 100% · published 4
3.84
Nick Leonard
usually #2 Singles 100% · published
3.79
Joseph Widman
usually #2 Singles 50%, also #1 Singles 50% · published
3.64
Gary Tsay
published 4
3.61
Dave DeCsepel
usually #3 Singles 100% · published 4
3.50
Sam Bruchey
published
3.49
Ramiro Rivas
usually #1 Singles 50%, also #3 Singles 50% · published
3.47
Matthew Nix
usually #3 Singles 100% · published
3.31
Peter Stokes
published
3.15
Clement Leung
published 3.5
William Thomson
usually #1 Singles 100% · 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
Keane Tarrosa
95W–59L career · 2 lines in 2025
<1%83%16%
3.87
Nick Leonard
11W–6L career · 2 lines in 2025
<1%89%11%
3.84
Joseph Widman
13W–10L career · 4 lines in 2025
1%93%5%
3.79
4
Gary Tsay
3W–5L career · type S · no lines in 2025
15%85%<1%
3.64
4
Dave DeCsepel
2W–6L career · type S · 1 line in 2025
21%79%<1%
3.61
Sam Bruchey
14W–7L career · no lines in 2025
<1%49%51%
3.50
Ramiro Rivas
28W–18L career · 2 lines in 2025
<1%52%48%
3.49
Matthew Nix
7W–8L career · 1 line in 2025
<1%58%42%
3.47
Peter Stokes
11W–7L career · no lines in 2025
1%92%7%
3.31
3.5
Clement Leung
2W–5L career · no lines in 2025
13%87%<1%
3.15
William Thomson
0W–1L career · 1 line in 2025
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.