Teams

SD 4.5 Mtn View (Sun noon)/ Flores

2026 SoCal Fall Doubles WE- San Diego · SD Women 4.5 GNO

10 players · average NTRP 4.50 / 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 standings5 teams · SD Women 4.5 GNO
TeamWLInd. WInd. LSets lostGames lost
1SD 4.5 Coronado TC (Sun Noon)/ Warren000000
2SD 4.5 Penn Purrs @PTC (Sun Noon)/ Ogihara000000
3SD 4.5 SDTRC (Sun Noon)/ Angyal000000
4SD 4.5 Peninsula TC (Sun Noon)/ Lacey000000
5SD 4.5 Mtn View (Sun noon)/ Flores000000

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 4.20 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.

4.64
Madalyn Moore
published
4.29
Cynthia Herrera
published 4.5
4.24
Mikayla Vincent
published 4.5
4.17
Sheena Patel
published
4.17
Maegen Demko
published 4.5
4.13
Guadalupe Rendon
published
4.12
Gabrielle Bartolome
published 4.5
4.09
Fabiola Flores
published 4.5
4.08
Edna Rendon
published 4.5
4.06
Claudia Mendiola
published 4.5
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.

Claudia Mendiola + Fabiola Flores8754% games+3.3% vs expected
Edna Rendon + Guadalupe Rendon10254% games+2.4% vs expected
Maegen Demko + Cynthia Herrera3546% games+1.4% vs expected
Maegen Demko + Fabiola Flores134 matchesnot enough data
Madalyn Moore + Fabiola Flores033 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.

Madalyn Moore
9W–4L career · no lines in 2026
<1%16%84%
4.64
4.5
Cynthia Herrera
14W–11L career · no lines in 2026
2%91%7%
4.29
4.5
Mikayla Vincent
47W–35L career · no lines in 2026
4%92%3%
4.24
Sheena Patel
9W–22L career · no lines in 2026
11%88%1%
4.17
4.5
Maegen Demko
101W–74L career · no lines in 2026
11%88%1%
4.17
Guadalupe Rendon
13W–10L career · no lines in 2026
18%81%<1%
4.13
4.5
Gabrielle Bartolome
25W–19L career · no lines in 2026
19%81%<1%
4.12
4.5
Fabiola Flores
125W–102L career · no lines in 2026
27%73%<1%
4.09
4.5
Edna Rendon
58W–23L career · no lines in 2026
30%70%<1%
4.08
4.5
Claudia Mendiola
42W–42L career · no lines in 2026
34%66%<1%
4.06

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.