Teams

GEPTA-3.0-Adult/18+W(Delgado)(EPTC#2)

SouthernNewMexico · 2025 USA FALL ADULT 18 & OVER LEAGUE

17 players · average NTRP 2.93 / GEPTA

View scouting list →
Schedule3 played
2024-11-12Lost 01
L#1 SinglesMelissa Solis vs Erika Castaneda4-6, 2-6
2024-10-15Lost 01
L#1 DoublesLaura Akemi Aizawa / Melissa Solis vs Diana Calhoun / Susan Daw6-7, 1-6
2024-09-24Lost 01
L#1 DoublesMelissa Solis / Dimna Arias vs Adriana Acosta / Juana Lopez1-6, 0-6
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 standings13 teams · 2025 USA FALL ADULT 18 & OVER LEAGUE
TeamWLInd. WInd. LSets lostGames lost
1GEPTA-3.0-Adult/18+W(Cedillos)(EPTC#5)120501025353
2GEPTA-3.0-Adult/18+W(Arreola)(EPTC#1)93421848463
3GEPTA-3.0-Adult/18+W(Baeza)(EPCC#1)93352554443
4GEPTA-3.0-Adult/18+W(Alarcon)(TW#1)84402054457
5GEPTA-3.0-Adult/18+W(Cardenas)(CCC)75293172560
6GEPTA-3.0-Adult/18+W(Boss)(NMSU#2)66312967528
7GEPTA-3.0-Adult/18+W(Da Costa)(EPTC#3)66273374567
8GEPTA-3.0-Adult/18+W(Delgado)(EPTC#2)57293168534
9GEPTA-3.0-Adult/18+W(Dennis)(FB)57243677536
10GEPTA-3.0-Adult/18+W(Martinez)(EPTC#4)48253574547
11GEPTA-3.0-Adult/18+W(Jabor)(EPCC#2)48243679579
12GEPTA-3.0-Adult/18+W(Molina)(TW#2)39213982569
13GEPTA-3.0-Adult/18+W(Loken)(NMSU#1)0121149105659

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 2.85 estimated across 7 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.

3.11
Daniela Baylon
usually #1 Singles 50%, also #1 Doubles 25% · published 3
3.09
Camila Olmos
usually #1 Singles 31%, also #3 Doubles 31% · published 3
2.88
Diana Fonseca
usually #2 Doubles 80%, also #1 Doubles 20% · published 3
2.86
Cristal Alvarez
usually #2 Doubles 57%, also #1 Doubles 21% · published 3
2.79
Brenda Campos Chacon
usually #1 Doubles 56%, also #2 Doubles 22% · published 3
2.78
Dania Cuellar
usually #3 Doubles 45%, also #2 Doubles 30% · published 3
2.46
CARMEN LEMUS
usually #2 Doubles 44%, also #3 Doubles 30% · published 2.5
Dimna Arias
usually #1 Doubles 70%, also #2 Doubles 20% · published
Hilda Gonzales
usually #3 Doubles 78%, also #2 Doubles 22% · published
Hossana Gallegos
usually #3 Doubles 50%, also #1 Doubles 27% · published
Ida Santillan
usually #1 Doubles 42%, also #2 Doubles 33% · published
Laura Akemi Aizawa
usually #3 Doubles 33%, also #1 Doubles 33% · published
Lilian Quinones
usually #2 Doubles 67%, also #3 Doubles 33% · published
Mayra Reza
usually #2 Doubles 38%, also #2 Singles 25% · published
Melissa Solis
usually #1 Doubles 67%, also #1 Singles 33% · published
Myrna Dominguez
usually #3 Doubles 69%, also #2 Doubles 23% · published
Zaira Delgado
usually #2 Singles 39%, also #1 Singles 23% · 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.

Lilian Quinones + Cristal Alvarez8553% gamesnot enough data
Dania Cuellar + CARMEN LEMUS3258% gamesnot enough data
Dania Cuellar + Cristal Alvarez224 matchesnot enough data
Hossana Gallegos + CARMEN LEMUS044 matchesnot enough data
Daniela Baylon + Cristal Alvarez314 matchesnot enough data
Mayra Reza + Dimna Arias213 matchesnot enough data
Brenda Campos Chacon + Daniela Baylon213 matchesnot enough data
Dania Cuellar + Myrna Dominguez033 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
Daniela Baylon
42W–21L career · 19 lines in 2025
<1%22%78%
3.11
3
Camila Olmos
28W–5L career · 12 lines in 2025
<1%26%74%
3.09
3
Diana Fonseca
13W–4L career · 5 lines in 2025
<1%80%20%
2.88
3
Cristal Alvarez
22W–10L career · 14 lines in 2025
1%84%16%
2.86
3
Brenda Campos Chacon
25W–15L career · 9 lines in 2025
2%91%7%
2.79
3
Dania Cuellar
24W–15L career · 20 lines in 2025
2%92%5%
2.78
2.5
CARMEN LEMUS
33W–21L career · 27 lines in 2025
0%62%38%
2.46
Dimna Arias
9W–7L career · 10 lines in 2025
not enough data
Hilda Gonzales
3W–7L career · 9 lines in 2025
not enough data
Hossana Gallegos
18W–27L career · 22 lines in 2025
not enough data
Ida Santillan
25W–13L career · 11 lines in 2025
not enough data
Laura Akemi Aizawa
6W–6L career · 3 lines in 2025
not enough data
Lilian Quinones
12W–7L career · 6 lines in 2025
not enough data
Mayra Reza
3W–6L career · 8 lines in 2025
not enough data
Melissa Solis
0W–3L career · 3 lines in 2025
not enough data
Myrna Dominguez
6W–14L career · 13 lines in 2025
not enough data
Zaira Delgado
54W–34L career · 24 lines in 2025
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.