Teams

GEPTA/Tan/55&over/8.0W

SouthernNewMexico · 2024 USA ADULT 55 & OVER LEAGUE

13 players · average NTRP 3.75 / GEPTA

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Schedule
Flight standings5 teams · 2024 USA ADULT 55 & OVER LEAGUE
TeamWLInd. WInd. LSets lostGames lost
1GEPTA/Tan/55&over/8.0W7117719192
2GEPTA/Lobato/55&over/8.0W/WC6216823210
3GEPTA-8.0-Adult/55+W(Farrah)(NMSU)35111329235
4GEPTA-8.0-Adult/55+W(Viramontes)(TW)2681634243
5GEPTA-8.0-Adult/55+W(Johnson)(EPTC#1)2681636263

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 3.44 estimated across 8 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.

3.76
Gloria Gomez
usually #1 Doubles 50%, also #2 Doubles 25% · published 4
3.71
Carol Shannon
usually #2 Doubles 52%, also #1 Doubles 29% · published 4
3.64
Ernestina Herrera
usually #1 Doubles 46%, also #2 Doubles 23% · published 4
3.56
Estela Loy
usually #3 Doubles 73%, also #1 Doubles 18% · published 4
3.37
Dinorah Martel
usually #1 Doubles 44%, also #2 Doubles 33% · published 3.5
3.27
Isela Rayon
usually #3 Doubles 50%, also #2 Doubles 30% · published 3.5
3.11
Debbie Kinkel
usually #1 Doubles 57%, also #2 Doubles 29% · published 3.5
3.11
Ellen Hughes
usually #1 Doubles 46%, also #2 Doubles 36% · published 3.5
Jeanette Tan
usually #3 Doubles 60%, also #2 Doubles 40% · published
Lori DeLisser
usually #2 Doubles 67%, also #3 Doubles 19% · published
Nena Torres
usually #3 Doubles 46%, also #2 Doubles 39% · published
Sabrina Aguilar
usually #1 Doubles 60%, also #2 Doubles 20% · published
Selena Solis
usually #2 Doubles 43%, also #1 Doubles 38% · 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.

Selena Solis + Ellen Hughes1441% games+5.2% vs expected
Gloria Gomez + Lori DeLisser5070% gamesnot enough data
Selena Solis + Lori DeLisser1442% gamesnot enough data
Gloria Gomez + Jeanette Tan314 matchesnot enough data
Estela Loy + Lori DeLisser314 matchesnot enough data
Isela Rayon + Jeanette Tan224 matchesnot enough data
Isela Rayon + Selena Solis134 matchesnot enough data
Ernestina Herrera + Lori DeLisser314 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
Gloria Gomez
62W–37L career · 12 lines in 2024
2%94%3%
3.76
4
Carol Shannon
58W–62L career · 21 lines in 2024
5%93%1%
3.71
4
Ernestina Herrera
12W–20L career · 12 lines in 2024
15%85%<1%
3.64
4
Estela Loy
69W–30L career · 11 lines in 2024
33%67%<1%
3.56
3.5
Dinorah Martel
19W–30L career · 9 lines in 2024
<1%83%16%
3.37
3.5
Isela Rayon
57W–46L career · type A · 10 lines in 2024
2%94%4%
3.27
3.5
Debbie Kinkel
20W–30L career · type A · 7 lines in 2024
20%80%<1%
3.11
3.5
Ellen Hughes
76W–84L career · 11 lines in 2024
21%79%<1%
3.11
Jeanette Tan
39W–51L career · 10 lines in 2024
not enough data
Lori DeLisser
94W–74L career · 21 lines in 2024
not enough data
Nena Torres
40W–40L career · 13 lines in 2024
not enough data
Sabrina Aguilar
41W–33L career · 5 lines in 2024
not enough data
Selena Solis
96W–102L 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.