Teams

SD 3.0 Peninsula TC/ Evans

2026 SoCal Fall Doubles- SD WD · SD - Women - 3.0

15 players · average NTRP 2.95 / 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 standings12 teams · SD - Women - 3.0
TeamWLInd. WInd. LSets lostGames lost
1SD 3.0 La Jolla TC/ Salyards000000
2SD 3.0 Mtn View/ Tomita000000
3SD 3.0 Peninsula TC/ Evans000000
4SD 3.0 SDTRC/ Swirhun000000
5SD 3.0 SDTRC/ Giacalone000000
6SD 3.0 Coronado Cays/ Anderson000000
7SD 3.0 Coronado TC/ Vermehren000000
8SD 3.0 Peninsula TC/ Morton000000
9SD 3.0 Coronado TC/ Escobedo000000
10SD 3.0 Balboa TC/ Labarre000000
11SD 3.0 Coronado TC/ Holzer000000
12SD 3.0 Mtn View/ Blancarte000000

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 2.82 estimated across 14 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.

3.08
Alicia Burnes
published 3
3.06
Janet Bergland
published 3
3.00
Mimi Kim
published
2.88
Malinda Marsh
published 3
2.86
2.80
Angela Christian
published 3
2.79
Andrea Evans
published 3
2.78
Christy Carreno
published 3
2.76
Victoria Lugash
published 3
2.73
Rebecca Lawrence
published
2.71
Elayne Berman
published 3
2.70
Miriam Mceachern
published 2.5
2.69
Raquel Razon
published
2.63
Karen Axmann
published 3
Susan Gammon
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.

Elayne Berman + Andrea Evans4159% games+15.7% vs expected
Alicia Burnes + Janet Bergland11266% games+11.7% vs expected
Elayne Berman + Jennifer Hagstrom8252% games+7.1% vs expected
Elayne Berman + Janet Bergland8951% games−0.4% vs expected
Victoria Lugash + Janet Bergland2452% gamesnot enough data
Elayne Berman + Karen Axmann2434% gamesnot enough data
Victoria Lugash + Elayne Berman224 matchesnot enough data
Janet Bergland + Jennifer Hagstrom224 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
Alicia Burnes
33W–49L career · no lines in 2026
<1%28%72%
3.08
3
Janet Bergland
79W–61L career · no lines in 2026
<1%33%67%
3.06
Mimi Kim
14W–7L career · no lines in 2026
<1%51%49%
3.00
3
Malinda Marsh
83W–80L career · no lines in 2026
<1%81%18%
2.88
3
Jennifer Hagstrom
47W–33L career · no lines in 2026
<1%86%14%
2.86
3
Angela Christian
52W–50L career · no lines in 2026
1%93%6%
2.80
3
Andrea Evans
11W–6L career · no lines in 2026
1%94%5%
2.79
3
Christy Carreno
20W–22L career · no lines in 2026
1%94%5%
2.78
3
Victoria Lugash
37W–55L career · no lines in 2026
2%94%3%
2.76
Rebecca Lawrence
6W–7L career · no lines in 2026
4%94%2%
2.73
3
Elayne Berman
70W–62L career · no lines in 2026
5%94%1%
2.71
2.5
Miriam Mceachern
41W–24L career · no lines in 2026
0%6%94%
2.70
Raquel Razon
5W–5L career · no lines in 2026
7%92%1%
2.69
3
Karen Axmann
46W–68L career · no lines in 2026
16%84%<1%
2.63
Susan Gammon
0W–1L career · no lines in 2026
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.