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GEPTA-3.0-Adult/40+W(Arreola)(EPTC#1)

SouthernNewMexico · 2025 USA ADULT 40 & OVER LEAGUE

14 players · average NTRP 2.83 / GEPTA

View scouting list →
Schedule
Flight standings11 teams · 2025 USA ADULT 40 & OVER LEAGUE
TeamWLInd. WInd. LSets lostGames lost
1GEPTA/Alvarado/Adult 40 & over/3.0W9132820220
2GEPTA-3.0-Adult/40+W(Da Costa)(EPTC#2)82221838323
3GEPTA-3.0-Adult/40+W(Castaneda)(EPCC#2)73271332296
4GEPTA-3.0-Adult/40+W(Alarcon)(TW#2)73231742323
5GEPTA-3.0-Adult/40+W(Delgado)(EPTC#4)64211942352
6GEPTA-3.0-Adult/40+W(Arreola)(EPTC#1)64202044320
7GEPTA-3.0-Adult/40+W(Jabor)(EPCC#1)45201638317
8GEPTA-3.0-Adult/40+W(Cardenas)(CCC)37132759398
9GEPTA-3.0-Adult/40+W(Dennis)27162045313
10GEPTA-3.0-Adult/40+W(Boss)(NMSU)19112962407
11GEPTA-3.0-Adult/40+W(Wilcox)(TW#1)19112964437

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 2.49 estimated across 3 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.

2.79
Flor Tovar
usually #1 Doubles 60%, also #3 Doubles 20% · published 3
2.44
Eufemia Garcia
usually #3 Doubles 59%, also #2 Doubles 22% · published 3
2.23
Graciela Saenz
usually #3 Doubles 63%, also #2 Doubles 19% · published 2.5
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Hilda Espinoza
usually #1 Singles 50%, also #2 Singles 50% · published —
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Laura Odell
usually #1 Doubles 54%, also #2 Doubles 31% · published —
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Leidiana Baca
usually #2 Doubles 47%, also #2 Singles 20% · published —
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Lorena Chavez
usually #2 Doubles 42%, also #1 Doubles 33% · published —
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Maria del Carmen Ledezma
usually #1 Singles 33%, also #2 Doubles 29% · published —
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Mary Chavez
usually #1 Doubles 40%, also #2 Doubles 40% · published —
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Monica de la Torre
usually #2 Doubles 47%, also #1 Doubles 33% · published —
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Patricia Arreola
usually #3 Doubles 48%, also #2 Doubles 39% · published —
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Sara Blanco
usually #1 Doubles 48%, also #3 Doubles 29% · published —
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Stephanie Beckles
usually #3 Doubles 44%, also #2 Doubles 30% · published —
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Veronica Gonzalez
usually #3 Doubles 59%, also #2 Doubles 22% · 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.

Monica de la Torre + Patricia Arreola6–1145% games−7.1% vs expected
Maria del Carmen Ledezma + Sara Blanco6–1045% gamesnot enough data
Graciela Saenz + Veronica Gonzalez8–653% gamesnot enough data
Mary Chavez + Monica de la Torre5–550% gamesnot enough data
Monica de la Torre + Laura Odell5–549% gamesnot enough data
Eufemia Garcia + Sara Blanco0–931% gamesnot enough data
Veronica Gonzalez + Sara Blanco3–550% gamesnot enough data
Laura Odell + Graciela Saenz6–165% 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
Flor Tovar
22W–19L career · 5 lines in 2025
1%93%6%
2.79
3
Eufemia Garcia
81W–124L career · type A · 32 lines in 2025
68%32%<1%
2.44
2.5
Graciela Saenz
52W–63L career · 16 lines in 2025
0%98%2%
2.23
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Hilda Espinoza
1W–1L career · 2 lines in 2025
not enough data
—
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Laura Odell
52W–43L career · 13 lines in 2025
not enough data
—
—
Leidiana Baca
23W–34L career · 14 lines in 2025
not enough data
—
—
Lorena Chavez
49W–59L career · 24 lines in 2025
not enough data
—
—
Maria del Carmen Ledezma
22W–46L career · 23 lines in 2025
not enough data
—
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Mary Chavez
20W–14L career · 15 lines in 2025
not enough data
—
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Monica de la Torre
40W–41L career · 15 lines in 2025
not enough data
—
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Patricia Arreola
47W–63L career · 23 lines in 2025
not enough data
—
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Sara Blanco
48W–72L career · 31 lines in 2025
not enough data
—
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Stephanie Beckles
71W–60L career · 23 lines in 2025
not enough data
—
—
Veronica Gonzalez
50W–71L career · 26 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.