Teams

SD 3.0 SDTRC (Sat 2:30)/ Ross

2026 SoCal Fall Doubles WE- San Diego · SD Women 3.0 GNO

12 players · average NTRP 2.83 / 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 standings10 teams · SD Women 3.0 GNO
TeamWLInd. WInd. LSets lostGames lost
1SD 3.0 BTC Sat Smashers (Sat 2:30PM)/ Gyure000000
2SD 3.0 Mtn View (Sat 2:30)/ Dunlap000000
3SD 3.0 Peninsula TC (Sat 2:30)/ Oliva000000
4SD 3.0 SDTRC (Sat 2:30)/ Kleiner000000
5SD 3.0 SDTRC (Sat 2:30)/ Ross000000
6SD 3.0 LJTC (Sat 2:30)/ Covello000000
7SD 3.0 Peninsula TC (Sat 2:30)/ Enwright000000
8SD 3.0 Peninsula TC (Sat 2:30)/ Hagstrom000000
9SD 3.0 Balboa TC (Sat 2:30)/ La Crue000000
10SD 3.0 Peninsula TC (noon)/ Nguyen000000

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 2.76 estimated across 12 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.

3.00
Margaret Rybak
published
2.96
Millie Touch
published
2.94
2.86
Rana Ram
published
2.85
Courtney Zeidan
published 3
2.82
Emily Guevara
published
2.76
Priya Huggett
published
2.74
Paola Ross
published
2.68
Vivi Riding
published
2.62
Kelly Duckworth
published
2.60
Ali Branson
published 3
2.27
Allyson Kreshak
published 2.5
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.

Paola Ross + Emily Guevara5063% games+12.6% vs expected
Vivi Riding + Priya Huggett224 matchesnot enough data
Courtney Zeidan + Emily Guevara224 matchesnot enough data
Rana Ram + Priya Huggett224 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.

Margaret Rybak
11W–3L career · no lines in 2026
<1%51%49%
3.00
Millie Touch
0W–7L career · no lines in 2026
<1%62%38%
2.96
Renata Muller da Rosa
19W–4L career · no lines in 2026
<1%66%34%
2.94
Rana Ram
4W–5L career · no lines in 2026
1%84%16%
2.86
3
Courtney Zeidan
25W–22L career · no lines in 2026
1%86%14%
2.85
Emily Guevara
10W–3L career · no lines in 2026
1%89%10%
2.82
Priya Huggett
6W–6L career · no lines in 2026
3%92%5%
2.76
Paola Ross
8W–3L career · no lines in 2026
4%93%3%
2.74
Vivi Riding
6W–9L career · no lines in 2026
10%89%1%
2.68
Kelly Duckworth
2W–3L career · no lines in 2026
19%81%<1%
2.62
3
Ali Branson
3W–7L career · no lines in 2026
24%75%<1%
2.60
2.5
Allyson Kreshak
7W–9L career · no lines in 2026
0%95%5%
2.27

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.