Teams

GEPTA/Adult 3.5M/Kim/FB

SouthernNewMexico · 2025 USA SPRING ADULT 18 & OVER LEAGUE

15 players · average NTRP 3.57 / GEPTA

View scouting list →
Schedule
Flight standings10 teams · 2025 USA SPRING ADULT 18 & OVER LEAGUE
TeamWLInd. WInd. LSets lostGames lost
1GEPTA/Melendez/Adult 18 & over/3.5M81311428319
2GEPTA/Adult3.5M/Becerra/EPTC#572291640380
3GEPTA/Adult 3.5M/Garcia/EPTC#263271840373
4GEPTA/Adult3.5M/Jones/EPTC#763281743376
5GEPTA/Adult 3.5M/Estrada/EPTC#354252048420
6GEPTA/Adult3.5M/Acevedo/CCC54202557443
7GEPTA/Adult3.5M/Harrison/EPCC36202558431
8GEPTA/Adult 3.5M/Tepsick/TW36172861446
9GEPTA/Adult 3.5M/Kim/FB18153066465
10GEPTA/Adult 3.5M/Lopez/EPTC#618133268467

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 3.30 estimated across 8 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.

3.77
Andres Enriquez
usually #3 Doubles 46%, also #1 Doubles 27% · published 4
3.45
Gerardo Gomez
usually #2 Doubles 42%, also #1 Doubles 42% · published 3.5
3.28
Harsh Tayal
usually #1 Singles 33%, also #2 Singles 22% · published 3.5
3.22
Roger Gonzalez
usually #3 Doubles 41%, also #1 Doubles 29% · published
3.21
Arvind Singhal
usually #3 Doubles 50%, also #2 Doubles 31% · published 3.5
3.21
Daniel Martinez
usually #1 Doubles 38%, also #3 Doubles 29% · published 3.5
3.15
EDMUND OSEI-WUSU
usually #1 Doubles 38%, also #2 Doubles 33% · published 3.5
3.11
Angel Garcia
usually #1 Doubles 44%, also #2 Doubles 25% · published 3.5
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 53%, also #2 Doubles 19% · published
Omar Pineda
usually #1 Singles 55%, also #2 Doubles 20% · published
Oscar Lopez
usually #2 Doubles 50%, also #3 Doubles 30% · published
Randall Studdard
usually #1 Doubles 54%, also #2 Doubles 27% · published
Robert Burns
usually #3 Doubles 56%, also #2 Doubles 26% · 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.

Gerardo Gomez + Robert Burns8165% games+15.7% vs expected
MIN KIM + Robert Burns5162% games+13.7% vs expected
Manouchehr Refaeian + MIN KIM5452% games+0.5% vs expected
Oscar Lopez + Manouchehr Refaeian3654% games−3.2% vs expected
MIN KIM + EDMUND OSEI-WUSU3543% games−5.9% vs expected
Roger Gonzalez + Angel Garcia7454% gamesnot enough data
Randall Studdard + Gerardo Gomez6355% gamesnot enough data
MIN KIM + Andres Enriquez5260% 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.

4
Andres Enriquez
26W–26L career · 11 lines in 2025
2%94%4%
3.77
3.5
Gerardo Gomez
72W–51L career · 36 lines in 2025
<1%66%34%
3.45
3.5
Harsh Tayal
24W–29L career · 8 lines in 2025
2%94%5%
3.28
Roger Gonzalez
85W–60L career · 17 lines in 2025
4%94%2%
3.22
3.5
Arvind Singhal
57W–55L career · 32 lines in 2025
5%94%1%
3.21
3.5
Daniel Martinez
25W–41L career · 24 lines in 2025
5%93%1%
3.21
3.5
EDMUND OSEI-WUSU
48W–85L career · 19 lines in 2025
13%87%<1%
3.15
3.5
Angel Garcia
62W–57L career · 15 lines in 2025
21%79%<1%
3.11
Kevin Woodson
84W–67L career · 50 lines in 2025
not enough data
MIN KIM
120W–80L career · 29 lines in 2025
not enough data
Manouchehr Refaeian
109W–95L career · 31 lines in 2025
not enough data
Omar Pineda
50W–38L career · 19 lines in 2025
not enough data
Oscar Lopez
50W–35L career · 10 lines in 2025
not enough data
Randall Studdard
32W–19L career · 26 lines in 2025
not enough data
Robert Burns
61W–46L career · 23 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.