Teams

SD 3.5 LJTC (Sun 2:30)/ Salyards

2026 SoCal Fall Doubles WE- San Diego · SD Women 3.5 GNO

10 players · average NTRP 3.17 / SAN DIEGO

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 standings11 teams · SD Women 3.5 GNO
TeamWLInd. WInd. LSets lostGames lost
1SD 3.5 Peninsula TC (Sun 2:30)/ Oliva000000
2SD 3.5 SDTRC (Sun 2:30)/ Yu000000
3SD 3.5 SDTRC (Sun 2:30)/ Adams000000
4SD 3.5 The Slice is Right BTC (Sun 2:30)/ Tan000000
5SD 3.5 Coronado TC (Sun 2:30)/ McKissick000000
6SD 3.5 Mtn View (Sun 2:30)/ Limon000000
7SD 3.5000000
8SD 3.5 Mtn View (Sun 2:30)/ Saenz000000
9SD 3.5 Peninsula TC (Sun)/ Carey000000
10SD 3.5 LJTC (Sun 2:30)/ Salyards000000
11SD 3.5 BTC Sunday Slammers (Sun 2:30)/ Edwards000000

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

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 3.02 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.

3.32
Emily Adamiec
published 3.5
3.18
Mariko Uyeda
published 3.5
3.14
Kim Garrett
published
3.08
Valerie Puscasiu
published
3.07
Jill Ostrom
published 3
2.98
Liz Perkins
published
2.93
May Salyards
published 3
2.93
Maria Bargeman
published 3
2.86
Deniz Ilkbasaran
published 3
2.74
Yumi Miyamoto
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.

Jill Ostrom + May Salyards5064% games+8.1% vs expected
May Salyards + Maria Bargeman303 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.

3.5
Emily Adamiec
67W–51L career · no lines in 2026
1%89%10%
3.32
3.5
Mariko Uyeda
64W–36L career · no lines in 2026
10%89%1%
3.18
Kim Garrett
3W–5L career · no lines in 2026
17%83%<1%
3.14
Valerie Puscasiu
9W–8L career · no lines in 2026
<1%29%71%
3.08
3
Jill Ostrom
27W–15L career · no lines in 2026
<1%30%70%
3.07
Liz Perkins
16W–10L career · no lines in 2026
<1%56%44%
2.98
3
May Salyards
23W–8L career · no lines in 2026
<1%70%30%
2.93
3
Maria Bargeman
3W–3L career · type S · no lines in 2026
<1%70%30%
2.93
3
Deniz Ilkbasaran
5W–6L career · type S · no lines in 2026
1%84%16%
2.86
Yumi Miyamoto
20W–16L career · no lines in 2026
4%93%3%
2.74

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.