Teams

SGV Breaking Bad - Nydam-ATCC/SA 11

2022 SoCal Doubles 18 & Over - San Gabriel Valley · SGV - Men 3.5

14 players · average NTRP 3.50 / 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 →

Flight standings for SGV - Men 3.5 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 3.23 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.

3.50
Sam Bruchey
published
3.47
Matthew Nix
published
3.39
Aaron Simpson
published 3.5
3.32
Christopher Hays
published 3.5
3.31
Daniel Sheehy
published 3.5
3.31
Peter Stokes
published
Aaron Buckwalter
published 3.5
Andrew Spiegel
published 3.5
Arthur Fritz
published 3.5
3.19
Alfred Navarro
published 3.5
3.12
Ian Wong
published 3.5
3.00
Philip Moore
published
2.72
Michael Mallory
published
Robert Nydam
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.

Peter Stokes + Daniel Sheehy6160% games+2.9% 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.

Sam Bruchey
14W–7L career · no lines in 2022
<1%49%51%
3.50
Matthew Nix
7W–8L career · no lines in 2022
<1%58%42%
3.47
3.5
Aaron Simpson
9W–5L career · no lines in 2022
<1%80%20%
3.39
3.5
Christopher Hays
7W–6L career · no lines in 2022
1%91%8%
3.32
3.5
Daniel Sheehy
14W–5L career · no lines in 2022
1%92%7%
3.31
Peter Stokes
11W–7L career · no lines in 2022
1%92%7%
3.31
3.5
Aaron Buckwalter
1W–3L career · no lines in 2022
not enough data
3.5
Andrew Spiegel
5W–0L career · no lines in 2022
not enough data
3.5
Arthur Fritz
0W–2L career · no lines in 2022
not enough data
3.5
Alfred Navarro
4W–7L career · no lines in 2022
7%92%1%
3.19
3.5
Ian Wong
6W–4L career · no lines in 2022
18%82%<1%
3.12
Philip Moore
2W–8L career · no lines in 2022
50%50%<1%
3.00
Michael Mallory
6W–10L career · no lines in 2022
4%94%2%
2.72
Robert Nydam
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.