Teams

SFV - The 300's

2022 SoCal Fall Doubles 18+ SFV · SFV - Men 4.0

12 players · average NTRP 3.94 / 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 →
Schedule5 played
2022-11-21Won 10
W#2 DoublesGary Weinzimer / Shimon Nofar vs Prakot Chhuon / CLAUDIO PELISSERO6-4, 2-6, 1-0
2022-11-12Won 10
W#3 DoublesDaniel Contreras / MacLyn McRae vs N/A6-0, 6-0
2022-10-23vs SFV - Toluca LakersWon 10
W#2 DoublesGary Weinzimer / Shimon Nofar vs Kenji Thielstrom / David Mendel6-1, 6-1
2022-10-09Won 20
W#2 DoublesGary Weinzimer / Shimon Nofar vs George Rodriguez / Gregory Wah6-3, 5-7, 1-0
W#3 DoublesAdam Beilenson / MacLyn McRae vs Kevin Scott / Chris Spanos6-0, 6-0
2022-09-25vs SFV - No SurrenderWon 10
W#3 DoublesShao Chen / Shimon Nofar vs Jose Almodovar / Ray Tsao6-3, 6-3
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 3.82 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.

3.86
Shimon Nofar
usually #2 Doubles 75%, also #3 Doubles 25% · published 4
3.85
Eric Schaefer
published 4
3.85
George Padgett
published 4
3.85
MacLyn McRae
usually #3 Doubles 100% · published 4
3.82
Adam Beilenson
published 4
3.77
Terry Hazell
published
David Soucy
published 4
Gary Weinzimer
published 4
3.73
Erik Houser
published 4
Aldo Argana
published 3.5
Peter Schuster
published
Shao Chen
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−1.8% vs expected
Shimon Nofar + MacLyn McRae224 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
Shimon Nofar
217W–98L career · 4 lines in 2022
<1%86%13%
3.86
4
Eric Schaefer
20W–4L career · no lines in 2022
<1%87%13%
3.85
4
George Padgett
10W–5L career · no lines in 2022
<1%87%13%
3.85
4
MacLyn McRae
94W–50L career · 2 lines in 2022
<1%88%12%
3.85
4
Adam Beilenson
8W–2L career · type S · no lines in 2022
1%91%8%
3.82
Terry Hazell
10W–5L career · no lines in 2022
2%94%4%
3.77
4
David Soucy
1W–3L career · no lines in 2022
not enough data
4
Gary Weinzimer
3W–2L career · no lines in 2022
not enough data
4
Erik Houser
5W–1L career · no lines in 2022
4%94%2%
3.73
3.5
Aldo Argana
1W–1L career · no lines in 2022
not enough data
Peter Schuster
1W–2L 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.