Teams

SFV LLW - The 300's - Aldo Argana

2022 Adult 40 & Over - SFV · SFV 40 & Over - Men 4.0

14 players · average NTRP 3.78 / 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
2022-04-02Won 10
W#1 SinglesShimon Nofar vs Erik Dixon6-2, 6-3
2022-03-19vs SFV - Toluca LakersWon 10
W#2 DoublesGary Weinzimer / Shimon Nofar vs Kenji Thielstrom / Benjamin Hayes7-5, 2-6, 1-0
2022-03-06vs SFV - DominatorsWon 10
W#2 DoublesGary Weinzimer / Shimon Nofar vs Burke Franklin / David Berkowitz6-2, 6-0
2022-02-26vs SFV - BadlandsSplit 11
L#1 DoublesNathan Waxer / Aldo Angrisani vs David Cohen / David Lubnow3-6, 2-6
W#1 SinglesShimon Nofar vs Olivier Demail6-2, 6-3
2022-01-23vs SFV - Dance With The DevilWon 10
W#1 SinglesShimon Nofar vs John Maly7-6, 6-4
2022-01-09Won 10
W#1 SinglesShimon Nofar vs Benjamin Hurvitz6-4, 6-0
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 SFV 40 & Over - 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 3.70 estimated across 9 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.

4.15
Nathan Waxer
published
3.86
Shimon Nofar
usually #1 Singles 67%, also #2 Doubles 33% · published 4
3.85
Eric Schaefer
published 4
3.82
Adam Beilenson
published 4
3.79
Gregg Gossett
published 4
3.77
Terry Hazell
published
Gary Weinzimer
published 4
3.53
Richard Lorentz
published
3.40
Aldo Angrisani
usually #2 Doubles 67%, also #1 Doubles 33% · published 3.5
Aldo Argana
published 3.5
Chris Carlson
published 3.5
3.16
Gus Batista
published 3.5
Shao Chen
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.

Nathan Waxer
15W–6L career · no lines in 2022
12%88%<1%
4.15
4
Shimon Nofar
217W–98L career · 6 lines in 2022
<1%86%13%
3.86
4
Eric Schaefer
20W–4L career · no lines in 2022
<1%87%13%
3.85
4
Adam Beilenson
8W–2L career · type S · no lines in 2022
1%91%8%
3.82
4
Gregg Gossett
4W–6L career · no lines in 2022
1%93%5%
3.79
Terry Hazell
10W–5L career · no lines in 2022
2%94%4%
3.77
4
Gary Weinzimer
3W–2L career · no lines in 2022
not enough data
Richard Lorentz
7W–12L career · no lines in 2022
41%59%<1%
3.53
3.5
Aldo Angrisani
93W–87L career · 6 lines in 2022
<1%78%22%
3.40
3.5
Aldo Argana
1W–1L career · no lines in 2022
not enough data
3.5
Chris Carlson
2W–0L career · no lines in 2022
not enough data
3.5
Gus Batista
2W–2L career · type A · no lines in 2022
10%89%<1%
3.16
Richard Petherbridge
6W–1L career · no lines in 2022
not enough data
Shao Chen
2W–0L 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.