Teams

GEPTA/40&overMX/7.0/Refaeian/EPTC#2

SouthernNewMexico · 2025 USA MIXED 40 & OVER LEAGUE

14 players · average NTRP 3.50 / GEPTA

View scouting list →
Schedule
Flight standings8 teams · 2025 USA MIXED 40 & OVER LEAGUE
TeamWLInd. WInd. LSets lostGames lost
1GEPTA/Avila/40&over/7.0MX82201023238
2GEPTA/40&overMX/7.0/Woo/EPTC#173171332278
3GEPTA/40&overMX/7.0/Pendergras/EPCC#164191126237
4GEPTA/40&overMX/7.0/Missirian/FB55151536290
5GEPTA/40&overMX/7.0/Michnovicz/NMSU55151538277
6GEPTA/40&overMX/7.0/Orozco/TW37131742312
7GEPTA/40&overMX/7.0/Garcia/EPCC#237111942314
8GEPTA/40&overMX/7.0/Refaeian/EPTC#237102044313

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 3.22 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.

3.22
Daniel Martinez
usually #1 Doubles 38%, also #3 Doubles 29% · published 3.5
3.21
Arvind Singhal
usually #3 Doubles 52%, also #2 Doubles 30% · published 3.5
Donna Gray
usually #2 Doubles 54%, also #3 Doubles 31% · published
Ellen Hughes
usually #1 Doubles 41%, also #2 Doubles 36% · published
Gabriela Stoiber
usually #2 Doubles 37%, also #3 Doubles 33% · published
Gloria King
usually #1 Doubles 44%, also #2 Doubles 39% · published
Harsh Tayal
usually #2 Singles 27%, also #1 Singles 27% · published
Kati Hunyadi
usually #1 Doubles 38%, also #2 Doubles 33% · published
Manouchehr Refaeian
usually #3 Doubles 49%, also #2 Doubles 23% · published
Monica Morga
usually #1 Doubles 54%, also #2 Doubles 29% · published
Roshelly Paliza
usually #1 Singles 27%, also #2 Doubles 27% · published
Steven Haynes
usually #1 Doubles 41%, also #2 Doubles 36% · published
Steven King
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.

Harsh Tayal + Arvind Singhal3259% gamesnot enough data
Donna Gray + Arvind Singhal3250% gamesnot enough data
Donna Gray + Ellen Hughes2354% gamesnot enough data
Gabriela Stoiber + Daniel Martinez2349% gamesnot enough data
Daniel Martinez + Arvind Singhal3248% gamesnot enough data
Kati Hunyadi + Yazmin Pineda1435% gamesnot enough data
Manouchehr Refaeian + Arvind Singhal314 matchesnot enough data
Manouchehr Refaeian + Kati Hunyadi314 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.

3.5
Daniel Martinez
25W–41L career · 24 lines in 2025
6%92%2%
3.22
3.5
Arvind Singhal
50W–47L career · 33 lines in 2025
6%92%2%
3.21
Donna Gray
45W–48L career · 13 lines in 2025
not enough data
Ellen Hughes
74W–86L career · 22 lines in 2025
not enough data
Gabriela Stoiber
63W–57L career · 27 lines in 2025
not enough data
Gloria King
100W–61L career · 62 lines in 2025
not enough data
Harsh Tayal
25W–30L career · 10 lines in 2025
not enough data
Kati Hunyadi
76W–65L career · 42 lines in 2025
not enough data
Manouchehr Refaeian
112W–93L career · 38 lines in 2025
not enough data
Monica Morga
70W–72L career · 24 lines in 2025
not enough data
Roshelly Paliza
21W–32L career · 21 lines in 2025
not enough data
Steven Haynes
79W–57L career · 22 lines in 2025
not enough data
Steven King
1W–2L career · no 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.