Teams

GEPTA-3.0-Adult/W(Alarcon)(TW)

SouthernNewMexico · 2024 USA FALL ADULT 18 & OVER LEAGUE

15 players · average NTRP 3.10 / GEPTA

View scouting list →
Schedule11 played
2024-04-13Won 10
W#2 SinglesCaren Garcia vs CYNTHIA PERUSQUIA1-6, 6-4, 1-0
2023-11-18Won 10
W#1 SinglesCaren Garcia vs Diana Cardiel6-4, 6-3
2023-11-04Won 10
W#2 SinglesCaren Garcia vs Cristina da Costa6-1, 6-3
2023-10-28Won 10
W#2 SinglesCaren Garcia vs Daniela Baylon6-2, 6-4
2023-10-21Won 10
W#2 DoublesCaren Garcia / Kristen Swanson-Pallares vs Hannah MacIas / Monica de la Torre6-0, 6-4
2023-10-07Won 10
W#3 DoublesBrettney Dee Wilcox / Caren Garcia vs Michelle Jabor / Taryn Hunt6-2, 6-2
2023-09-30vs GEPTA-3.0-Adult/W(Boss)(EPTC#6)Split 11
W#1 DoublesMaryanne Ortiz / Caren Garcia vs Lorena Sosa / Sonia Natividad6-2, 6-1
L#2 SinglesJessica Trachter vs Maria Velasquez2-6, 1-6
2023-09-23Lost 01
L#2 SinglesCaren Garcia vs ALEJANDRA MONROY6-4, 1-6, 0-1
2023-09-16Won 10
W#2 SinglesCaren Garcia vs Cecilia Marquez6-2, 6-0
2023-09-11Lost 01
L#2 SinglesCaren Garcia vs Regina Porras6-3, 2-6, 1-0
2023-08-26Lost 01
L#3 DoublesSylvia Vega / Caren Garcia vs Maria Baeza / Felisa Fuentes4-6, 1-6
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.
Flight standings9 teams · 2024 USA FALL ADULT 18 & OVER LEAGUE
TeamWLInd. WInd. LSets lostGames lost
1GEPTA/Arreola/40&over/3.0W71301025266
2GEPTA-3.0-Adult/W(Baeza)(EPCC#2)71281231288
3GEPTA-3.0-Adult/W(DaCosta)(EPTC#1)53231738325
4GEPTA-3.0-Adult/W(Jabor)(EPCC#1)53192146339
5GEPTA-3.0-Adult/W(Boss)(EPTC#2)35211945369
6GEPTA-3.0-Adult/W(Cardenas)(CCC)35172348348
7GEPTA-3.0-Adult/W(Alarcon)(TW)26152554399
8GEPTA-3.0-Adult/W(Lechuga)(FB)26132758392
9GEPTA-3.0-Adult/W(Garcia)(EPTC#3)26122858377

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 2.91 estimated across 4 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.

3.24
Adriana Acosta
usually #2 Doubles 33%, also #3 Doubles 27% · published 3.5
2.92
Alida Villarreal
usually #1 Singles 28%, also #1 Doubles 22% · published 3
2.77
Brettney Dee Wilcox
usually #2 Doubles 40%, also #3 Doubles 32% · published 3
Caren Garcia
usually #2 Singles 55%, also #3 Doubles 18% · published 3
2.71
Angelica Alarcon
usually #3 Doubles 78%, also #2 Doubles 22% · published 3
Jessica Trachter
usually #2 Singles 100% · published
Jessie Lindsay
usually #1 Doubles 44%, also #2 Doubles 31% · published
Katherine Harrison
usually #1 Doubles 47%, also #2 Doubles 27% · published
Kristen Swanson-Pallares
usually #1 Doubles 52%, also #2 Doubles 29% · published
Leyla Ramirez
usually #2 Doubles 42%, also #3 Doubles 25% · published
Maryanne Ortiz
usually #2 Doubles 39%, also #1 Doubles 33% · published
Mayra Alvarez-Bernal
usually #2 Doubles 50%, also #3 Doubles 29% · published
Michele Cicchetti
usually #1 Doubles 53%, also #2 Doubles 32% · published
Nicole Roldan
usually #1 Doubles 29%, also #1 Singles 29% · published
Sylvia Vega
usually #1 Doubles 47%, also #3 Doubles 21% · 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.

Michele Cicchetti + Mayra Alvarez-Bernal6452% gamesnot enough data
Leyla Ramirez + Michele Cicchetti4441% gamesnot enough data
Michele Cicchetti + Kristen Swanson-Pallares6265% gamesnot enough data
Michele Cicchetti + Adriana Acosta1543% gamesnot enough data
Leyla Ramirez + Brettney Dee Wilcox4162% gamesnot enough data
Jessie Lindsay + Mayra Alvarez-Bernal2343% gamesnot enough data
Brettney Dee Wilcox + Alida Villarreal4158% gamesnot enough data
Leyla Ramirez + Angelica Alarcon044 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
Adriana Acosta
36W–38L career · 14 lines in 2024
3%94%2%
3.24
3
Alida Villarreal
40W–28L career · 16 lines in 2024
<1%74%26%
2.92
3
Brettney Dee Wilcox
48W–44L career · 24 lines in 2024
2%94%4%
2.77
3
Caren Garcia
8W–3L career · 10 lines in 2024
not enough data
3
Angelica Alarcon
27W–52L career · type A · 9 lines in 2024
5%94%1%
2.71
Jessica Trachter
14W–25L career · 1 line in 2024
not enough data
Jessie Lindsay
33W–45L career · 16 lines in 2024
not enough data
Katherine Harrison
22W–17L career · 15 lines in 2024
not enough data
Kristen Swanson-Pallares
76W–35L career · 30 lines in 2024
not enough data
Leyla Ramirez
32W–32L career · 12 lines in 2024
not enough data
Maryanne Ortiz
13W–14L career · 18 lines in 2024
not enough data
Mayra Alvarez-Bernal
33W–30L career · 14 lines in 2024
not enough data
Michele Cicchetti
53W–109L career · 19 lines in 2024
not enough data
Nicole Roldan
23W–23L career · 12 lines in 2024
not enough data
Sylvia Vega
27W–40L career · 18 lines in 2024
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.