Teams

SDNC 3.5 Rancho Valencia (Sun 2:30)/ Adams

2026 SoCal Fall Doubles WE- SDNC · SDNC Women 3.5 GNO

11 players · average NTRP 3.25 / 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 · SDNC Women 3.5 GNO
TeamWLInd. WInd. LSets lostGames lost
1SDNC 3.5 FRCC (Wed 7-9PM)/ Hackett000000
2SDNC 3.5 Rancho Valencia (Sun 2:30)/ Adams000000
3SDNC 3.5 San Dieguito (Sun 2:30)/ Evers000000
4SDNC 3.5 Scripps Aviary (Sun 2:30)/ Garcia000000
5SDNC 3.5 Crosby (1@ 12:30PM:2@2:30PM)/ Birtsas000000
6SDNC 3.5 FRCC (Sun 2:30)/ Wolgast000000
7SDNC 3.5 FRCC (Wed 7-9PM)/ Li000000
8SDNC 3.5 Santaluz (Sun 2:30)/ Reinoso000000
9SDNC 3.5 Santaluz Club (Wed 6PM)/ Wagner000000
10SDNC 3.5 KCP (Sun 2:30)/ Gerardi000000
11SDNC 3.5 RPTC (Wed 6PM)/ Wilson000000

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 3.05 estimated across 11 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.

3.47
Leslie Winkelstein
published 3.5
3.22
Isabel Palmer
published
3.19
Janine Brunnhoelzl
published
3.17
Jenn Lau
published 3.5
3.06
Mirna Rivera
published 3
3.05
Andrea Khan
published 3.5
3.01
Jennifer Dziura
published 3.5
2.90
Chrystal Meyer
published 3
2.88
Emilianne Rudd
published
2.86
Monika Mehran
published 3
2.75
Cathie Fravel
published 3
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.

Monika Mehran + Jennifer Dziura5352% gamesnot enough data
Monika Mehran + Emilianne Rudd404 matchesnot enough data
Chrystal Meyer + Emilianne Rudd044 matchesnot enough data
Mirna Rivera + Leslie Winkelstein303 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
Leslie Winkelstein
30W–8L career · no lines in 2026
<1%59%41%
3.47
Isabel Palmer
6W–3L career · no lines in 2026
6%92%2%
3.22
Janine Brunnhoelzl
4W–6L career · no lines in 2026
9%90%1%
3.19
3.5
Jenn Lau
45W–38L career · type A · no lines in 2026
11%88%1%
3.17
3
Mirna Rivera
68W–26L career · no lines in 2026
<1%33%67%
3.06
3.5
Andrea Khan
46W–55L career · no lines in 2026
36%64%<1%
3.05
3.5
Jennifer Dziura
38W–37L career · type A · no lines in 2026
48%52%<1%
3.01
3
Chrystal Meyer
94W–95L career · no lines in 2026
<1%76%24%
2.90
Emilianne Rudd
10W–5L career · no lines in 2026
<1%80%20%
2.88
3
Monika Mehran
62W–72L career · no lines in 2026
1%84%15%
2.86
3
Cathie Fravel
5W–4L career · type S · no lines in 2026
3%93%4%
2.75

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.