Teams

GEPTA/Ninkovich/55&over/7.0M

SouthernNewMexico · 2026 USA ADULT 55 & OVER LEAGUE

17 players · average NTRP 3.44 / GEPTA

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Flight standings5 teams · 2026 USA ADULT 55 & OVER LEAGUE
TeamWLInd. WInd. LSets lostGames lost
1GEPTA/Ninkovich/55&over/7.0M8019513171
2GEPTA/55&over/7.0M/Bezemek/EPTC#15315922207
3GEPTA/55&over/7.0M/DAW/EPCC3591533254
4GEPTA/55&over/7.0M/Tepsick/TW3571740272
5GEPTA/55&over/7.0M/Lopez/EPTC#217101433245

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 3.27 estimated across 9 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.

3.89
Mike Caldarella
usually #1 Doubles 44%, also #2 Doubles 25% · published
3.80
Bernie Brandon
usually #1 Doubles 38%, also #2 Doubles 38% · published 4
3.45
Gerardo Gomez
usually #1 Doubles 36%, also #2 Doubles 32% · published 3.5
3.21
Arvind Singhal
usually #3 Doubles 50%, also #2 Doubles 40% · published 3.5
3.21
Daniel Martinez
usually #1 Doubles 36%, also #3 Doubles 36% · published 3.5
3.15
EDMUND OSEI-WUSU
usually #3 Doubles 40%, also #2 Doubles 30% · published 3.5
3.11
Angel Garcia
usually #1 Singles 30%, also #3 Doubles 30% · published 3.5
2.86
Andrew Michnovicz
usually #2 Doubles 50%, also #1 Doubles 29% · published 3
2.77
Christopher Ninkovich
usually #3 Doubles 80%, also #2 Singles 10% · published 3
Jorge Coreano
usually #1 Doubles 42%, also #2 Doubles 26% · published
Kevin Woodson
usually #3 Doubles 67%, also #2 Doubles 22% · published
MIN KIM
usually #3 Doubles 64%, also #1 Doubles 27% · published
Manouchehr Refaeian
usually #3 Doubles 47%, also #1 Doubles 25% · published
Oscar Lopez
usually #2 Doubles 80%, also #1 Doubles 20% · published
Peter Ruiz
usually #1 Doubles 33%, also #3 Doubles 33% · published
Randall Studdard
usually #1 Doubles 50%, also #2 Doubles 45% · published
Robert Burns
usually #3 Doubles 46%, also #2 Doubles 36% · 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
Kevin Woodson + Jorge Coreano9652% gamesnot enough data
Randall Studdard + Gerardo Gomez6355% gamesnot enough data
Randall Studdard + Oscar Lopez5160% 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.

Mike Caldarella
41W–40L career · 15 lines in 2026
<1%79%21%
3.89
4
Bernie Brandon
60W–31L career · 16 lines in 2026
1%93%6%
3.80
3.5
Gerardo Gomez
72W–51L career · 27 lines in 2026
<1%66%34%
3.45
3.5
Arvind Singhal
57W–55L career · 10 lines in 2026
5%94%1%
3.21
3.5
Daniel Martinez
25W–41L career · 25 lines in 2026
5%93%1%
3.21
3.5
EDMUND OSEI-WUSU
48W–85L career · 19 lines in 2026
13%87%<1%
3.15
3.5
Angel Garcia
62W–57L career · 9 lines in 2026
21%79%<1%
3.11
3
Andrew Michnovicz
109W–72L career · 34 lines in 2026
<1%86%14%
2.86
3
Christopher Ninkovich
25W–25L career · 10 lines in 2026
2%94%4%
2.77
Jorge Coreano
64W–75L career · 38 lines in 2026
not enough data
Kevin Woodson
84W–67L career · 18 lines in 2026
not enough data
MIN KIM
120W–80L career · 11 lines in 2026
not enough data
Manouchehr Refaeian
109W–95L career · 35 lines in 2026
not enough data
Oscar Lopez
50W–35L career · 5 lines in 2026
not enough data
Peter Ruiz
33W–44L career · 3 lines in 2026
not enough data
Randall Studdard
32W–19L career · 20 lines in 2026
not enough data
Robert Burns
61W–46L career · 11 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.