Teams

GEPTA/18&overMX/7.0/Refaeian/EPTC#3

SouthernNewMexico · 2025 USA MIXED 18 & OVER LEAGUE

16 players · average NTRP 3.25 / GEPTA

View scouting list →
Schedule4 played
2025-08-17Lost 01
L#2 DoublesIgnacio Mendez / Elsie Villarreal vs Darren James / Sintra Sampath0-6, 2-6
2025-08-16Lost 01
L#3 DoublesIgnacio Mendez / Yazmin Pineda vs Norm Estrada / Helga Sauza1-6, 6-3, 0-1
2025-07-18Lost 01
L#1 DoublesIgnacio Mendez / Yazmin Pineda vs Cesar Navar / Grace Gomez3-6, 4-6
2025-06-15Lost 01
L#3 DoublesElsie Villarreal / Ignacio Mendez vs Rocio Molina / Kevin Woodson3-6, 4-6
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.
Flight standings7 teams · 2025 USA MIXED 18 & OVER LEAGUE
TeamWLInd. WInd. LSets lostGames lost
1GEPTA/18&overMX/7.0/Lopez/EPTC#193241228303
2GEPTA/Cisneros/18&over/7.0MX93241234326
3GEPTA/18&overMX/7.0/Sampath/NMSU66181840332
4GEPTA/18&overMX/7.0/Castaneda/EPCC66171942323
5GEPTA/18&overMX/7.0/Acevedo/CCC66171943344
6GEPTA/18&overMX/7.0/Estrada/FB66181844349
7GEPTA/18&overMX/7.0/Refaeian/EPTC#301282860404

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 3.26 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.

3.90
Mike Caldarella
usually #2 Doubles 42%, also #1 Doubles 39% · published
3.21
Arvind Singhal
usually #3 Doubles 52%, also #2 Doubles 30% · published 3.5
2.67
Cristina da Costa
usually #3 Doubles 43%, also #2 Doubles 29% · published 3
Elsie Villarreal
usually #2 Doubles 58%, also #1 Doubles 27% · published
Gerardo Gomez
usually #2 Doubles 41%, also #1 Doubles 41% · published
Harsh Tayal
usually #2 Singles 27%, also #1 Singles 27% · published
Hilda Finn
usually #1 Doubles 61%, also #2 Doubles 18% · published
Ignacio Mendez
usually #3 Doubles 50%, also #1 Doubles 25% · published
JOSE MENDEZ
usually #1 Doubles 42%, also #3 Doubles 35% · published
Jassivy Hernandez
usually #1 Doubles 40%, also #3 Doubles 33% · published
Ken O'Neal
usually #2 Doubles 46%, also #1 Doubles 27% · published
Lourdes Livingston
usually #3 Doubles 46%, also #2 Doubles 33% · published
Manouchehr Refaeian
usually #3 Doubles 49%, also #2 Doubles 23% · published
Randi Cabrera
usually #2 Doubles 55%, also #3 Doubles 36% · published
Sergio Alvarez
usually #3 Doubles 50%, also #2 Doubles 50% · published
Yazmin Pineda
usually #2 Doubles 34%, also #1 Doubles 34% · 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.

Randi Cabrera + Cristina da Costa6946% games−2.5% vs expected
Yazmin Pineda + Jassivy Hernandez11658% gamesnot enough data
Harsh Tayal + Arvind Singhal3259% gamesnot enough data
Lourdes Livingston + Hilda Finn224 matchesnot enough data
Manouchehr Refaeian + Arvind Singhal314 matchesnot enough data
Elsie Villarreal + JOSE MENDEZ134 matchesnot enough data
Gerardo Gomez + Arvind Singhal134 matchesnot enough data
Manouchehr Refaeian + Jassivy Hernandez123 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.

Mike Caldarella
41W–40L career · 33 lines in 2025
<1%77%23%
3.90
3.5
Arvind Singhal
50W–47L career · 33 lines in 2025
6%92%2%
3.21
3
Cristina da Costa
67W–91L career · 20 lines in 2025
12%87%1%
2.67
Elsie Villarreal
57W–39L career · 26 lines in 2025
not enough data
Gerardo Gomez
52W–48L career · 37 lines in 2025
not enough data
Harsh Tayal
25W–30L career · 10 lines in 2025
not enough data
Hilda Finn
81W–96L career · 32 lines in 2025
not enough data
Ignacio Mendez
0W–4L career · 4 lines in 2025
not enough data
JOSE MENDEZ
33W–43L career · 26 lines in 2025
not enough data
Jassivy Hernandez
55W–42L career · 39 lines in 2025
not enough data
Ken O'Neal
9W–33L career · 22 lines in 2025
not enough data
Lourdes Livingston
45W–70L career · 24 lines in 2025
not enough data
Manouchehr Refaeian
112W–93L career · 38 lines in 2025
not enough data
Randi Cabrera
54W–66L career · 11 lines in 2025
not enough data
Sergio Alvarez
31W–33L career · 2 lines in 2025
not enough data
Yazmin Pineda
42W–37L career · 34 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.