Teams

SGV Sultans of Swing - Schiffman -Arcadia/SA1/3

2022 Adult Division - 18 & Over San Gabriel Valley · SGV - Men 3.0

12 players · average NTRP 3.00 / SO.CALIFORNIA

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Schedule6 played
2022-06-25vs SGV Dare Doubles-Vance-WN/SA12Lost 01
L#1 DoublesArvid Croonquist / Antonio Gonella vs TAREK BABA / Vance Lanoy4-6, 2-6
L#1 DoublesPaul Getto / Antonio Gonella vs Suleman ALIDINA / Ash Nikravan1-6, 1-6
L#2 DoublesAntonio Gonella / Tony Ruys de Perez vs Ash Nikravan / Suleman ALIDINA0-6, 2-6
2022-06-11vs SGV Dare Doubles-Vance-WN/SA12Lost 01
L#1 DoublesArvid Croonquist / Antonio Gonella vs Robert Li / Zhan Yan1-6, 1-6
2022-05-15vs SGV Dare Doubles-Vance-WN/SA12Lost 01
L#1 DoublesKasra Soufi / Antonio Gonella vs John Garcia-Shelton / Josh Berman1-6, 1-6
L#1 DoublesByron Lee / Antonio Gonella vs Suleman ALIDINA / Ramesh Bandaru3-6, 3-6
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 SGV - Men 3.0 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 2.81 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.

2.95
Antonio Gonella
usually #1 Doubles 73%, also #2 Singles 9% · published 3
2.94
Christopher Taus
published 3
2.90
Larry Reed
published
2.88
Paul Getto
published
2.87
Kasra Soufi
published
2.85
David Adelstein
published 3
2.72
Tony Ruys de Perez
published
2.71
Alex Alvarez
published 3
2.68
Mau Wong
published
2.56
Dan Schiffman
published 3
Juan Mireles
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.

Dan Schiffman + Kasra Soufi3447% games−9.2% vs expected
Dan Schiffman + Tony Ruys de Perez2440% gamesnot enough data
Tony Ruys de Perez + Juan Mireles134 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.

3
Antonio Gonella
23W–37L career · 11 lines in 2022
<1%66%34%
2.95
3
Christopher Taus
25W–11L career · no lines in 2022
<1%68%32%
2.94
Larry Reed
9W–21L career · no lines in 2022
77%23%<1%
2.90
Paul Getto
27W–21L career · no lines in 2022
<1%83%17%
2.88
Kasra Soufi
13W–17L career · no lines in 2022
<1%83%17%
2.87
3
David Adelstein
14W–8L career · no lines in 2022
<1%87%12%
2.85
3
Ferdinand Valmonte
3W–4L career · no lines in 2022
not enough data
Tony Ruys de Perez
10W–15L career · no lines in 2022
4%94%2%
2.72
3
Alex Alvarez
9W–23L career · no lines in 2022
5%94%1%
2.71
Mau Wong
7W–13L career · no lines in 2022
8%91%1%
2.68
3
Dan Schiffman
10W–26L career · no lines in 2022
32%67%<1%
2.56
Juan Mireles
4W–11L 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.