Teams

GEPTA-8.0-MX-18(Colbert)(EPTC#4)

SouthernNewMexico · 2024 USA MIXED 18 & OVER LEAGUE

12 players · average NTRP 4.00 / GEPTA

View scouting list →
Schedule
Flight standings6 teams · 2024 USA MIXED 18 & OVER LEAGUE
TeamWLInd. WInd. LSets lostGames lost
1GEPTA/Harris/18&overMX/8.073161433287
2GEPTA-8.0-MX-18(Mora)(EPTC#2)64161433280
3GEPTA-8.0-MX-18(Smith)(CCC)55151539303
4GEPTA-8.0-MX-18(Colbert)(EPTC#4)55131740304
5GEPTA-8.0-MX-18(Jones)(EPTC#1)46171334267
6GEPTA-8.0-MX-18(Cisneros)(EPTC#3)37131736292

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 4.09 estimated across 2 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.

4.36
Abraham Gandarilla
usually #1 Doubles 32%, also #1 Singles 29% · published 4.5
3.81
Allison Glass
usually #1 Doubles 39%, also #2 Doubles 23% · published 4
ALMA HERRERA
usually #1 Singles 42%, also #1 Doubles 19% · published 3.5
Erika Delgado
usually #2 Doubles 44%, also #1 Doubles 30% · published
GUADALUPE CAZARES
usually #1 Doubles 25%, also #1 Singles 25% · published
Hannah Juarez
usually #1 Doubles 36%, also #3 Doubles 32% · published
Kate Colbert
usually #1 Doubles 45%, also #3 Doubles 35% · published
Luisa Fernanda Gomez Baca
usually #1 Doubles 45%, also #3 Doubles 25% · published
Marco Gonzalez Friedl
usually #3 Doubles 44%, also #2 Singles 20% · published
Martha Eugenia Gomez Baca
usually #3 Doubles 61%, also #1 Doubles 22% · published
Peter Jilkov
usually #2 Doubles 55%, also #3 Doubles 27% · published
Rochelle Rosas
usually #2 Doubles 57%, also #3 Doubles 43% · 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.

Erika Delgado + Kate Colbert12460% gamesnot enough data
Hannah Juarez + Martha Eugenia Gomez Baca6163% gamesnot enough data
Hannah Juarez + Allison Glass6158% gamesnot enough data
Erika Delgado + Hannah Juarez4162% gamesnot enough data
Erika Delgado + Rochelle Rosas4154% gamesnot enough data
Luisa Fernanda Gomez Baca + Allison Glass4170% gamesnot enough data
Erika Delgado + Martha Eugenia Gomez Baca314 matchesnot enough data
Luisa Fernanda Gomez Baca + Martha Eugenia Gomez Baca224 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.

4.5
Abraham Gandarilla
71W–41L career · 26 lines in 2024
1%84%16%
4.36
4
Allison Glass
31W–7L career · 13 lines in 2024
1%90%9%
3.81
3.5
ALMA HERRERA
23W–15L career · 29 lines in 2024
not enough data
Erika Delgado
107W–52L career · 23 lines in 2024
not enough data
GUADALUPE CAZARES
9W–7L career · 14 lines in 2024
not enough data
Hannah Juarez
79W–45L career · 22 lines in 2024
not enough data
Kate Colbert
53W–20L career · 20 lines in 2024
not enough data
Luisa Fernanda Gomez Baca
45W–31L career · 19 lines in 2024
not enough data
Marco Gonzalez Friedl
83W–113L career · 24 lines in 2024
not enough data
Martha Eugenia Gomez Baca
44W–34L career · 22 lines in 2024
not enough data
Peter Jilkov
12W–13L career · 11 lines in 2024
not enough data
Rochelle Rosas
14W–9L career · 7 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.