Teams

GEPTA/40&overMX/4.0/Friedl/EPTC#3

SouthernNewMexico · 2026 USA MIXED 40 & OVER LEAGUE

16 players · average NTRP 4.00 / GEPTA

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Flight standings for 2026 USA MIXED 40 & 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 3.70 estimated across 4 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.

3.92
Josaphat Martinez
published
3.68
Brandon Silverstein
usually #3 Doubles 57%, also #2 Doubles 29% · published 4
3.64
Beatrice Maese
usually #1 Doubles 47%, also #2 Doubles 27% · published 4
3.56
Ashley Bowling
usually #2 Doubles 41%, also #3 Doubles 35% · published 4
Elzie Johnson
usually #2 Doubles 40%, also #3 Doubles 40% · published
Evaristo Campos Torres
usually #1 Doubles 45%, also #2 Doubles 30% · published
Grace Gomez
usually #1 Doubles 37%, also #3 Doubles 34% · published
Marco Gonzalez Friedl
usually #3 Doubles 34%, also #2 Doubles 31% · published
Nathan Brown
usually #3 Doubles 60%, also #2 Doubles 40% · published
Nico Tejeda
usually #2 Doubles 33%, also #3 Doubles 25% · published
Paula Prado
usually #2 Doubles 37%, also #3 Doubles 33% · published
Rebecca Romero
usually #1 Singles 56%, also #1 Doubles 22% · published
Selena Solis
usually #2 Doubles 43%, also #1 Doubles 34% · published
TJ Karam
usually #2 Doubles 48%, also #3 Doubles 39% · published
Vianka Sanchez
usually #2 Doubles 41%, also #1 Doubles 35% · published
Wendy Felix
usually #1 Singles 50%, also #1 Doubles 17% · 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.

Vianka Sanchez + Elzie Johnson5159% gamesnot enough data
Rebecca Romero + Marco Gonzalez Friedl213 matchesnot enough data
Vianka Sanchez + TJ Karam303 matchesnot enough data
Selena Solis + Elzie Johnson213 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.

Josaphat Martinez
37W–24L career · no lines in 2026
<1%71%28%
3.92
4
Brandon Silverstein
77W–49L career · 14 lines in 2026
10%89%1%
3.68
4
Beatrice Maese
74W–86L career · 15 lines in 2026
15%84%1%
3.64
4
Ashley Bowling
59W–43L career · 17 lines in 2026
33%67%<1%
3.56
Elzie Johnson
124W–75L career · 5 lines in 2026
not enough data
Evaristo Campos Torres
27W–22L career · 20 lines in 2026
not enough data
Grace Gomez
145W–85L career · 34 lines in 2026
not enough data
Marco Gonzalez Friedl
83W–113L career · 31 lines in 2026
not enough data
Nathan Brown
59W–33L career · 5 lines in 2026
not enough data
Nico Tejeda
18W–13L career · 11 lines in 2026
not enough data
Paula Prado
42W–46L career · 27 lines in 2026
not enough data
Rebecca Romero
27W–12L career · 9 lines in 2026
not enough data
Selena Solis
96W–102L career · 35 lines in 2026
not enough data
TJ Karam
74W–40L career · 31 lines in 2026
not enough data
Vianka Sanchez
67W–50L career · 17 lines in 2026
not enough data
Wendy Felix
24W–16L career · 12 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.