Teams

GEPTA/55&over/7.0MX/Orozco/TW

SouthernNewMexico · 2026 USA MIXED 55 & OVER LEAGUE

13 players · average NTRP 3.50 / GEPTA

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Flight standings for 2026 USA MIXED 55 & 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 3.26 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.

3.61
Greg Garcia
usually #3 Doubles 67%, also #2 Doubles 22% · published 4
3.52
Erica McFarland
usually #1 Doubles 55%, also #2 Doubles 30% · published 3.5
3.37
Bernardo Escudero
usually #3 Doubles 41%, also #1 Doubles 30% · published 3.5
3.31
Carlos de Regules
usually #1 Doubles 36%, also #2 Doubles 32% · published 3.5
3.29
Annette Segesman
usually #3 Doubles 46%, also #2 Doubles 36% · published 3.5
3.14
Eloy Tinajero
usually #3 Doubles 60%, also #2 Doubles 27% · published 3.5
3.08
Bertha Allen
usually #1 Doubles 43%, also #2 Doubles 29% · published 3.5
2.77
Brettney Dee Wilcox
usually #1 Doubles 52%, also #3 Doubles 21% · published 3
Jeffrey Alley
usually #2 Doubles 50%, also #1 Doubles 38% · published
Laura Orozco
usually #3 Doubles 47%, also #2 Doubles 29% · published
Lorena Reynolds
usually #1 Singles 46%, also #2 Doubles 21% · published
Marykathleen Towle
usually #1 Doubles 44%, also #3 Doubles 26% · published
Osvaldo Orozco
usually #2 Doubles 47%, also #3 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.

Marykathleen Towle + Bertha Allen4845% gamesnot enough data
Laura Orozco + Osvaldo Orozco3738% gamesnot enough data
Laura Orozco + Marykathleen Towle4349% gamesnot enough data
Laura Orozco + Lorena Reynolds3350% gamesnot enough data
Carlos de Regules + Osvaldo Orozco2440% gamesnot enough data
Marykathleen Towle + Eloy Tinajero0637% gamesnot enough data
Greg Garcia + Osvaldo Orozco3250% gamesnot enough data
Brettney Dee Wilcox + Annette Segesman3252% 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.

4
Greg Garcia
36W–54L career · 9 lines in 2026
20%80%<1%
3.61
3.5
Erica McFarland
28W–16L career · 33 lines in 2026
<1%45%55%
3.52
3.5
Bernardo Escudero
38W–29L career · 27 lines in 2026
<1%84%16%
3.37
3.5
Carlos de Regules
79W–82L career · 28 lines in 2026
1%91%8%
3.31
3.5
Annette Segesman
54W–46L career · 22 lines in 2026
1%93%6%
3.29
3.5
Eloy Tinajero
43W–41L career · 15 lines in 2026
14%86%<1%
3.14
3.5
Bertha Allen
40W–62L career · 7 lines in 2026
26%74%<1%
3.08
3
Brettney Dee Wilcox
48W–44L career · 29 lines in 2026
2%94%4%
2.77
Jeffrey Alley
46W–45L career · 8 lines in 2026
not enough data
Laura Orozco
52W–108L career · 17 lines in 2026
not enough data
Lorena Reynolds
85W–109L career · 22 lines in 2026
not enough data
Marykathleen Towle
43W–81L career · 26 lines in 2026
not enough data
Osvaldo Orozco
40W–56L career · 15 lines in 2026
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.