Teams

GEPTA-3.5-Adult/W(Garcia)(EPTC#2)

SouthernNewMexico · 2024 USA SPRING ADULT 18 & OVER LEAGUE

17 players · average NTRP 3.50 / GEPTA

View scouting list →
Schedule5 played
2024-05-24vs GEPTA-3.5-Adult/W(Pallares)(TW#1)Lost 01
L#1 SinglesMirna Mendoza vs Isabel Finn1-6, 6-4, 0-1
2024-04-23Won 10
W#1 SinglesMirna Mendoza vs Emily Adamczyk6-4, 6-7, 1-0
2024-04-10Won 10
W#1 SinglesMirna Mendoza vs Danielle Adams6-1, 6-1
2024-03-19Won 10
W#2 SinglesMirna Mendoza vs Shannon Rhoads6-1, 6-1
2024-03-17Won 10
W#2 SinglesMirna Mendoza vs Miranda Silva6-2, 2-6, 1-0
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 standings11 teams · 2024 USA SPRING ADULT 18 & OVER LEAGUE
TeamWLInd. WInd. LSets lostGames lost
1GEPTA/Cartwright/18+&over/3.5W100391132355
2GEPTA-3.5-Adult/W(Baeza)(FB)82321844404
3GEPTA-3.5-Adult/W(Gutierrrez)(EPTC#3)82331746431
4GEPTA-3.5-Adult/W(Allen)(TW#2)64311947418
5GEPTA-3.5-Adult/W(Colbert)(EPTC#1)55272352415
6GEPTA-3.5-Adult/W(Pallares)(TW#1)55242664467
7GEPTA-3.5-Adult/W(Olmos)(EPTC#4)46232759447
8GEPTA-3.5-Adult/W(Garcia)(EPTC#2)46232765493
9GEPTA-3.5-Adult/W(Cardenas)(CCC#2)28143678551
10GEPTA-3.5-Adult/W(Diaz)(CCC#1)28153579527
11GEPTA-3.5-Adult/W(Daw)(EPCC#1)19143676521

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 3.01 estimated across 1 rated player. 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.

3.01
Adriana Galindo
usually #2 Doubles 57%, also #1 Doubles 29% · published 3.5
Esther Orona
usually #1 Doubles 42%, also #2 Doubles 31% · published
Eufemia Garcia
usually #3 Doubles 55%, also #1 Doubles 19% · published
Gabriela Stoiber
usually #1 Doubles 60%, also #2 Doubles 30% · published
Hannah MacIas
usually #2 Singles 44%, also #1 Singles 33% · published
Jammie Price
usually #1 Doubles 57%, also #2 Doubles 29% · published
Jassivy Hernandez
usually #1 Doubles 37%, also #3 Doubles 32% · published
Kati Hunyadi
usually #2 Doubles 42%, also #1 Doubles 39% · published
Marisol Ramirez
usually #2 Doubles 56%, also #1 Doubles 33% · published
Melissa MacIas
usually #1 Singles 71%, also #2 Singles 18% · published
Mirna Mendoza
usually #1 Singles 60%, also #2 Singles 40% · published
Patricia Arreola
usually #3 Doubles 37%, also #2 Doubles 32% · published
Patricia Moye Holderman
usually #3 Doubles 39%, also #2 Doubles 25% · published
Patricia Samonte
usually #1 Doubles 40%, also #3 Doubles 35% · published
Roshelly Paliza
usually #1 Singles 50%, also #2 Singles 39% · published
Veronica Gonzalez
usually #3 Doubles 36%, also #2 Doubles 32% · published
Yazmin Pineda
usually #2 Doubles 36%, also #1 Doubles 32% · 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.

Eufemia Garcia + Jammie Price4350% games+11.7% vs expected
Adriana Galindo + Marisol Ramirez121646% games−0.8% vs expected
Yazmin Pineda + Jassivy Hernandez11658% gamesnot enough data
Esther Orona + Patricia Moye Holderman6362% gamesnot enough data
Eufemia Garcia + Jassivy Hernandez1634% gamesnot enough data
Adriana Galindo + Kati Hunyadi2445% gamesnot enough data
Esther Orona + Kati Hunyadi2348% gamesnot enough data
Eufemia Garcia + Kati Hunyadi1433% gamesnot 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 Galindo
28W–50L career · 7 lines in 2024
47%53%<1%
3.01
Esther Orona
123W–106L career · 44 lines in 2024
not enough data
Eufemia Garcia
81W–125L career · 30 lines in 2024
not enough data
Gabriela Stoiber
63W–57L career · 10 lines in 2024
not enough data
Hannah MacIas
10W–13L career · 9 lines in 2024
not enough data
Jammie Price
47W–41L career · 14 lines in 2024
not enough data
Jassivy Hernandez
55W–42L career · 19 lines in 2024
not enough data
Kati Hunyadi
76W–65L career · 52 lines in 2024
not enough data
Marisol Ramirez
48W–81L career · 9 lines in 2024
not enough data
Melissa MacIas
37W–51L career · 17 lines in 2024
not enough data
Mirna Mendoza
23W–5L career · 5 lines in 2024
not enough data
Patricia Arreola
45W–59L career · 18 lines in 2024
not enough data
Patricia Moye Holderman
66W–59L career · 26 lines in 2024
not enough data
Patricia Samonte
30W–65L career · 20 lines in 2024
not enough data
Roshelly Paliza
21W–32L career · 18 lines in 2024
not enough data
Veronica Gonzalez
48W–70L career · 21 lines in 2024
not enough data
Yazmin Pineda
42W–37L career · 27 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.