Teams

SFV-Rooftop Ballers

SFV-SoCal Doubles-18 & Over · SFV - Men 4.0

8 players · average NTRP 3.70 / SO.CALIFORNIA

View scouting list →
Schedule6 played
L#2 DoublesGaren Amirganian / Sidarth Setpal vs Joe Chan / Alan Esguerra2-6, 2-6
L#3 DoublesGreg Siegel / Punit Rawal vs Steve Oetomo / Arniel Lagon4-6, 0-6
2021-12-05vs SFV-AV StormersSplit 11
L#1 DoublesMichael Palatas / Garen Amirganian vs Benjamin Hurvitz / Brad Bixel4-6, 4-6
W#2 DoublesGreg Siegel / Deepak Antony vs Carlos Guarin / Jesse Duncan6-3, 6-2
2021-11-21vs SFV-BadlandsLost 01
L#1 DoublesGreg Siegel / Michael Palatas vs David Lubnow / Dan Bronson1-6, 6-3, 0-1
2021-10-31vs SFV-Toluca LakersSplit 11
L#1 DoublesMark Gasper / Garen Amirganian vs Rajeev Ronanki / Peter Heinbecker4-6, 3-6
W#3 DoublesPunit Rawal / Greg Siegel vs Benjamin Hayes / Jeffery Shamberger2-6, 7-5, 1-0
2021-10-16vs SFV-DominatorsSplit 11
L#2 DoublesSidarth Setpal / Garen Amirganian vs Anurag Anand / TEVIN JENKINS3-6, 1-6
W#3 DoublesMarc Victor / Greg Siegel vs Adan Flores / Guillermo Giuliani6-2, 1-6, 1-0
2021-09-25vs SFV-LLW - PVCC - Moe MagadesLost 01
L#2 DoublesGaren Amirganian / Marc Victor vs Chad Fenwick / Kent Goss2-6, 2-6
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 3.31 estimated across 7 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.

Delia Holguin
published 4
3.53
Garen Amirganian
usually #1 Doubles 55%, also #2 Doubles 46% · published 3.5
3.52
Deepak Antony
published 4
3.41
Sidarth Setpal
published
3.29
Greg Siegel
usually #2 Doubles 50%, also #3 Doubles 38% · published 3.5
3.27
Punit Rawal
published
3.19
Mark Gasper
published
2.93
Dennis Alfelor
published 3.5
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.

Garen Amirganian + Greg Siegel11551% games−7.2% vs expected
Sidarth Setpal + Punit Rawal404 matchesnot enough data
Mark Gasper + Deepak Antony033 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.

4
Delia Holguin
1W–0L career · no lines in 2021
not enough data
3.5
Garen Amirganian
217W–148L career · 11 lines in 2021
<1%40%60%
3.53
4
Deepak Antony
4W–16L career · no lines in 2021
45%55%<1%
3.52
Sidarth Setpal
6W–5L career · no lines in 2021
<1%75%24%
3.41
3.5
Greg Siegel
173W–158L career · 8 lines in 2021
1%93%6%
3.29
Punit Rawal
8W–4L career · no lines in 2021
2%94%4%
3.27
Mark Gasper
4W–13L career · no lines in 2021
<1%7%93%
3.19
3.5
Dennis Alfelor
0W–3L career · no lines in 2021
69%31%<1%
2.93

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.