Teams

GEPTA/18&over/2.5W/Boney/EPTC#4

SouthernNewMexico · 2026 USA FALL ADULT 18 & OVER LEAGUE

12 players · average NTRP 2.67 / GEPTA

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Schedule
Flight standings9 teams · 2026 USA FALL ADULT 18 & OVER LEAGUE
TeamWLInd. WInd. LSets lostGames lost
1GEPTA/18&over/2.5W/Rojas/EPTC#37117717154
2GEPTA/18&over/2.5W/Marquez/EPTC#27117717169
3GEPTA/18&over/2.5W/Correa/EPCC#16218615151
4GEPTA/18&over/2.5W/Boney/EPTC#46217716145
5GEPTA/18&over/2.5W/Galindo/EPTC#535101433234
6GEPTA/18&over/2.5W/McCarthy/EPTC#13591533228
7GEPTA/18&over/2.5W/Rios/TW2681632209
8GEPTA/18&over/2.5W/Pace/CCC1761837244
9GEPTA/18&over/2.5W/Hufft/FB1761838242

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 2.38 estimated across 2 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.

2.53
Daniela Szostek
usually #2 Doubles 63%, also #3 Doubles 25% · published 3
Beverly Trujillo
usually #1 Doubles 100% · published 2.5
2.23
Andrea Faugstad
usually #1 Doubles 40%, also #3 Doubles 20% · published 2.5
Julie Payan
usually #1 Doubles 38%, also #1 Singles 24% · published
Kimberly Garcia
usually #2 Doubles 70%, also #1 Doubles 20% · published
Marcela Barreno
usually #1 Singles 100% · published
Mayra Barrientos
usually #2 Doubles 60%, also #1 Doubles 40% · published
Monica Boney
usually #2 Doubles 71%, also #1 Doubles 29% · published
Norma Soto
usually #2 Doubles 44%, also #3 Doubles 22% · published
Sarah Palacios
usually #1 Doubles 50%, also #2 Doubles 25% · published
Shelly Morkovsky
usually #1 Doubles 82%, also #1 Singles 18% · published
Yasmin Sabet
usually #1 Doubles 80%, also #2 Doubles 13% · 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.

Kimberly Garcia + Daniela Szostek4554% gamesnot enough data
Sarah Palacios + Monica Boney5067% gamesnot enough data
Kimberly Garcia + Sarah Palacios224 matchesnot enough data
Kimberly Garcia + Marcela Barreno303 matchesnot enough data
Kimberly Garcia + Monica Boney123 matchesnot enough data
Kimberly Garcia + Andrea Faugstad213 matchesnot enough data
Julie Payan + Yasmin Sabet213 matchesnot enough data
Norma Soto + Monica Boney033 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.

3
Daniela Szostek
6W–9L career · 8 lines in 2026
41%59%<1%
2.53
2.5
Beverly Trujillo
2W–2L career · 1 line in 2026
not enough data
2.5
Andrea Faugstad
5W–8L career · 5 lines in 2026
0%97%3%
2.23
Julie Payan
17W–5L career · 20 lines in 2026
not enough data
Kimberly Garcia
12W–14L career · 10 lines in 2026
not enough data
Marcela Barreno
7W–8L career · 4 lines in 2026
not enough data
Mayra Barrientos
5W–3L career · 5 lines in 2026
not enough data
Monica Boney
9W–9L career · 7 lines in 2026
not enough data
Norma Soto
4W–7L career · 9 lines in 2026
not enough data
Sarah Palacios
12W–5L career · 4 lines in 2026
not enough data
Shelly Morkovsky
11W–0L career · 11 lines in 2026
not enough data
Yasmin Sabet
12W–3L 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.