Teams

GEPTA-3.5-Adult/W(Olmos)(EPTC#4)

SouthernNewMexico · 2024 USA SPRING ADULT 18 & OVER LEAGUE

17 players · average NTRP 3.29 / GEPTA

View scouting list →
Schedule5 played
2024-05-14Lost 01
L#1 SinglesLauren Berdeja vs Meghan Jones2-6, 3-6
2024-04-30Won 10
W#2 SinglesLauren Berdeja vs Iyari Fierro6-2, 6-3
2024-04-09Lost 01
L#2 SinglesLauren Berdeja vs Berenice Loubet6-4, 5-7, 0-1
2024-04-02Won 10
W#1 SinglesLauren Berdeja vs Roshelly Paliza6-1, 6-2
2024-03-26Lost 01
L#2 DoublesDolly Ricks / Lauren Berdeja vs Gerla Gallardo / Guadalupe Castillo1-6, 2-6
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 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 3.07 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.

3.33
ALEJANDRA MONROY
usually #1 Doubles 53%, also #2 Doubles 20% · published 3.5
3.31
Blanca Olmos
usually #2 Doubles 39%, also #1 Doubles 33% · published 3.5
3.30
Cristal Tirado
usually #2 Doubles 33%, also #2 Singles 22% · published 3.5
3.25
Ana Dominguez
usually #3 Doubles 33%, also #1 Doubles 22% · published 3.5
2.88
Concepcion Bueno
usually #3 Doubles 44%, also #2 Doubles 28% · published 3
2.82
Ada Castro
usually #2 Doubles 39%, also #3 Doubles 31% · published 3
2.61
Angelica Neve
usually #3 Doubles 46%, also #2 Doubles 46% · published 3
Dolly Ricks
usually #2 Doubles 46%, also #1 Doubles 27% · published
Estela Abelleira
usually #1 Doubles 47%, also #2 Doubles 26% · published
Guadalupe Saenz
usually #1 Doubles 60%, also #3 Doubles 27% · published
Laura Soto
usually #1 Singles 53%, also #2 Singles 42% · published
Lauren Berdeja
usually #1 Singles 40%, also #2 Singles 40% · published
Mariel Berdeja
usually #1 Singles 80%, also #2 Singles 20% · published
Rocio Avila
usually #1 Doubles 35%, also #3 Doubles 35% · published
Roma Fonseca
usually #3 Doubles 40%, also #2 Doubles 33% · published
Sabrina Monroy
usually #3 Doubles 44%, also #2 Doubles 31% · published
Sandra Castaneda
usually #3 Doubles 35%, also #1 Doubles 30% · 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.

Guadalupe Saenz + Dolly Ricks5451% games+1.6% vs expected
Concepcion Bueno + Blanca Olmos11264% games+1.0% vs expected
Sandra Castaneda + ALEJANDRA MONROY15758% gamesnot enough data
Estela Abelleira + Blanca Olmos11960% gamesnot enough data
Ana Dominguez + Estela Abelleira12658% gamesnot enough data
Ana Dominguez + Blanca Olmos9756% gamesnot enough data
Sabrina Monroy + Rocio Avila11459% gamesnot enough data
Cristal Tirado + Angelica Neve8649% 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
ALEJANDRA MONROY
45W–23L career · 15 lines in 2024
1%88%11%
3.33
3.5
Blanca Olmos
99W–76L career · 46 lines in 2024
1%90%8%
3.31
3.5
Cristal Tirado
28W–17L career · 9 lines in 2024
2%91%7%
3.30
3.5
Ana Dominguez
50W–50L career · 16 lines in 2024
4%93%4%
3.25
3
Concepcion Bueno
67W–27L career · 18 lines in 2024
<1%80%20%
2.88
3
Ada Castro
35W–36L career · 13 lines in 2024
1%89%9%
2.82
3
Angelica Neve
30W–33L career · 13 lines in 2024
22%78%<1%
2.61
Dolly Ricks
60W–73L career · 11 lines in 2024
not enough data
Estela Abelleira
42W–43L career · 19 lines in 2024
not enough data
Guadalupe Saenz
71W–59L career · 15 lines in 2024
not enough data
Laura Soto
40W–31L career · 19 lines in 2024
not enough data
Lauren Berdeja
20W–12L career · 5 lines in 2024
not enough data
Mariel Berdeja
21W–19L career · 10 lines in 2024
not enough data
Rocio Avila
58W–30L career · 16 lines in 2024
not enough data
Roma Fonseca
55W–32L career · 15 lines in 2024
not enough data
Sabrina Monroy
43W–30L career · 16 lines in 2024
not enough data
Sandra Castaneda
59W–46L career · 19 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.