Teams

GEPTA-3.5-Adult/40+M(Burns)(FB)

SouthernNewMexico · 2025 USA ADULT 40 & OVER LEAGUE

17 players · average NTRP 3.50 / GEPTA

View scouting list →
Schedule
Flight standings8 teams · 2025 USA ADULT 40 & OVER LEAGUE
TeamWLInd. WInd. LSets lostGames lost
1GEPTA/Harrison/Adult 40 & over/3.5M71211125268
2GEPTA-3.5-Adult/40+M(Melendez)(EPTC#2)62201229258
3GEPTA-3.5-Adult/40+M(Burns)(FB)62191331288
4GEPTA-3.5-Adult/40+M(Acevedo)(CCC)34141432266
5GEPTA-3.5-Adult/40+M(Lopez)(EPTC#1)2591940293
6GEPTA-3.5-Adult/40+M(Michnovicz)(Lions)26122045320
7GEPTA-3.5-Adult/40+M(Tepsick)(TW)17131944320
8GEPTA-3.5-Adult/40+M(Roldan)(EPCC#2)000000

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 3.24 estimated across 5 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.

3.39
Armando Gallego
usually #2 Doubles 53%, also #1 Doubles 33% · published 3.5
3.25
Roger Gonzalez
usually #3 Doubles 39%, also #2 Doubles 33% · published
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
3.11
Angel Garcia
usually #1 Doubles 39%, also #2 Doubles 28% · published 3.5
EDMUND OSEI-WUSU
usually #1 Doubles 39%, also #2 Doubles 31% · published
Gerardo Gomez
usually #2 Doubles 41%, also #1 Doubles 41% · published
Harsh Tayal
usually #2 Singles 27%, also #1 Singles 27% · published
Kevin Woodson
usually #3 Doubles 40%, also #2 Doubles 36% · published
MIN KIM
usually #1 Doubles 62%, also #3 Doubles 17% · published
Manouchehr Refaeian
usually #3 Doubles 49%, also #2 Doubles 23% · published
Nicholas Roacho
usually #3 Doubles 45%, also #2 Doubles 35% · published
Norm Estrada
usually #3 Doubles 68%, also #2 Doubles 25% · published
Omar Pineda
usually #1 Singles 58%, also #2 Doubles 21% · published
Oscar Lopez
usually #2 Doubles 40%, also #3 Doubles 40% · published
Randall Studdard
usually #1 Doubles 54%, also #2 Doubles 27% · published
Robert Burns
usually #3 Doubles 56%, also #2 Doubles 24% · 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.

Manouchehr Refaeian + MIN KIM4450% games−0.5% vs expected
MIN KIM + EDMUND OSEI-WUSU3543% games−16.0% vs expected
Oscar Lopez + Manouchehr Refaeian4754% gamesnot enough data
Roger Gonzalez + Angel Garcia7454% gamesnot enough data
Randall Studdard + Gerardo Gomez6355% gamesnot enough data
Norm Estrada + Nicholas Roacho5352% gamesnot enough data
Randall Studdard + Oscar Lopez5160% gamesnot enough data
Oscar Lopez + Angel Garcia4251% 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.

3.5
Armando Gallego
23W–13L career · 15 lines in 2025
<1%79%21%
3.39
Roger Gonzalez
82W–59L career · 18 lines in 2025
3%93%4%
3.25
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
3.5
Angel Garcia
57W–57L career · 17 lines in 2025
22%77%<1%
3.11
EDMUND OSEI-WUSU
48W–85L career · 24 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
Kevin Woodson
84W–67L career · 50 lines in 2025
not enough data
MIN KIM
102W–80L career · 29 lines in 2025
not enough data
Manouchehr Refaeian
112W–93L career · 38 lines in 2025
not enough data
Nicholas Roacho
77W–58L career · 29 lines in 2025
not enough data
Norm Estrada
64W–83L career · 28 lines in 2025
not enough data
Omar Pineda
48W–38L career · 23 lines in 2025
not enough data
Oscar Lopez
50W–35L career · 15 lines in 2025
not enough data
Randall Studdard
32W–19L career · 26 lines in 2025
not enough data
Robert Burns
41W–43L career · 25 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.