Teams

GEPTA-3.0-Adult/W(Baeza)(EPCC#1)

SouthernNewMexico · 2024 USA SPRING ADULT 18 & OVER LEAGUE

15 players · average NTRP 3.00 / GEPTA

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Flight standings for 2024 USA SPRING ADULT 18 & OVER LEAGUE have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

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 2.80 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.

3.08
Felisa Fuentes
usually #1 Doubles 55%, also #2 Doubles 36% · published 3
2.91
Ariana Guerrero
usually #2 Doubles 40%, also #1 Doubles 40% · published 3
2.89
Arely de Alba
usually #4 Doubles 44%, also #2 Doubles 22% · published 3
2.87
Erika Castaneda
usually #3 Doubles 35%, also #1 Singles 35% · published 3
2.81
Angela Darancou
usually #1 Doubles 42%, also #3 Doubles 42% · published 3
2.77
Ana Baca
usually #2 Doubles 39%, also #3 Doubles 35% · published 3
2.75
Colleen Houghton
usually #4 Doubles 67%, also #3 Doubles 33% · published 3
2.75
Alexa Dunlop
usually #2 Singles 33%, also #2 Doubles 28% · published 3
2.62
Ana Laura Chavez A
usually #2 Doubles 44%, also #1 Doubles 33% · published 3
2.55
Alexandra Alvarez
usually #4 Doubles 100% · published 3
Jill Overley
usually #1 Doubles 46%, also #2 Doubles 23% · published
Lluvia Bordier
usually #1 Singles 52%, also #1 Doubles 24% · published
Maria Baeza
usually #2 Doubles 33%, also #1 Doubles 29% · published
Monica Gonzalez
usually #2 Doubles 29%, also #3 Doubles 24% · published
Renee Aguilar
usually #3 Doubles 43%, also #2 Doubles 33% · 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.

Maria Baeza + Felisa Fuentes12355% gamesnot enough data
Monica Gonzalez + Renee Aguilar10363% gamesnot enough data
Monica Gonzalez + Ana Baca7556% gamesnot enough data
Ana Baca + Felisa Fuentes6652% gamesnot enough data
Monica Gonzalez + Maria Baeza5269% gamesnot enough data
Ariana Guerrero + Jill Overley6166% gamesnot enough data
Erika Castaneda + Maria Baeza3353% gamesnot enough data
Renee Aguilar + Arely de Alba3266% 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
Felisa Fuentes
56W–22L career · 22 lines in 2024
<1%27%73%
3.08
3
Ariana Guerrero
30W–19L career · 5 lines in 2024
<1%75%25%
2.91
3
Arely de Alba
20W–12L career · 9 lines in 2024
<1%79%21%
2.89
3
Erika Castaneda
34W–41L career · 18 lines in 2024
<1%84%16%
2.87
3
Angela Darancou
15W–11L career · 12 lines in 2024
1%92%7%
2.81
3
Ana Baca
42W–42L career · 23 lines in 2024
2%94%4%
2.77
3
Colleen Houghton
17W–9L career · 3 lines in 2024
3%95%3%
2.75
3
Alexa Dunlop
41W–40L career · 17 lines in 2024
3%95%3%
2.75
3
Ana Laura Chavez A
25W–38L career · 9 lines in 2024
18%82%<1%
2.62
3
Alexandra Alvarez
5W–9L career · 2 lines in 2024
36%64%<1%
2.55
Jill Overley
26W–14L career · 12 lines in 2024
not enough data
Lluvia Bordier
37W–21L career · 21 lines in 2024
not enough data
Maria Baeza
58W–35L career · 22 lines in 2024
not enough data
Monica Gonzalez
56W–41L career · 18 lines in 2024
not enough data
Renee Aguilar
36W–19L career · 21 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.