Teams

SFV The 300's

2023 Adult 40+ SFV Winter · SFV 40 & Over - Men 4.0

13 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
2023-04-01vs SFV GFT ClubLost 01
L#2 DoublesShimon Nofar / Gary Weinzimer vs Won Cho / Timothy Chun3-6, 4-6
2023-03-12Won 10
W#2 DoublesTerry Hazell / Shimon Nofar vs Geoffrey Villarta / Phillip Nguyen6-3, 1-6, 1-0
2023-03-04Won 10
W#2 DoublesShimon Nofar / Gary Weinzimer vs Boris Naydichev / Stan Walker6-2, 6-2
2023-02-26Won 10
W#1 SinglesShimon Nofar vs Jerry Palacio6-1, 6-4
2023-02-05vs SFV Toluca LakersLost 01
L#1 DoublesShimon Nofar / Eric Schaefer vs James Fregia / Rajeev Ronanki3-6, 6-3, 0-1
2023-01-15vs SFV Paseo UnitedWon 10
W#3 DoublesAdam Beilenson / Shimon Nofar vs Russell Baingo / James Miller6-0, 6-2
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 3.80 estimated across 8 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
3.82
Eric Schaefer
published
3.81
Shimon Nofar
usually #2 Doubles 50%, also #3 Doubles 17% · published 4
3.80
Adam Beilenson
published 4
3.76
George Padgett
published
David Soucy
published 4
3.75
Terry Hazell
published
3.69
Gregg Gossett
published
3.61
Erik Houser
published
Aldo Argana
published 3.5
Gary Weinzimer
published
Peter Schuster
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.

George Padgett + Terry Hazell7556% games−5.7% vs expected
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 2023
14%86%1%
4.15
Eric Schaefer
20W–4L career · no lines in 2023
1%89%10%
3.82
4
Shimon Nofar
217W–98L career · 6 lines in 2023
1%90%8%
3.81
4
Adam Beilenson
8W–2L career · type S · no lines in 2023
2%91%8%
3.80
George Padgett
10W–5L career · no lines in 2023
3%93%4%
3.76
4
David Soucy
1W–3L career · no lines in 2023
not enough data
Terry Hazell
10W–5L career · no lines in 2023
4%93%3%
3.75
Gregg Gossett
4W–6L career · no lines in 2023
8%90%1%
3.69
Erik Houser
5W–1L career · no lines in 2023
22%78%<1%
3.61
3.5
Aldo Argana
1W–1L career · no lines in 2023
not enough data
Gary Weinzimer
3W–2L career · no lines in 2023
not enough data
Peter Schuster
1W–2L career · no lines in 2023
not enough data
Richard Petherbridge
6W–1L career · no lines in 2023
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.