Teams

GEPTA/18&over/3.5M/Pineda/FB

SouthernNewMexico · 2026 USA SPRING ADULT 18 & OVER LEAGUE

16 players · average NTRP 3.30 / GEPTA

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Schedule4 played
2026-06-06Lost 01
L#2 SinglesSean McCarthy vs FRANCISCO JAVIER IGLESIAS LOPEZ4-6, 6-1, 0-1
2026-05-21Lost 01
L#2 SinglesSean McCarthy vs Samuel Escobar6-1, 6-7, 0-1
2026-04-22Won 10
W#1 SinglesSean McCarthy vs Adriel Tarin6-2, 6-2
2026-04-03Lost 01
L#2 SinglesSean McCarthy vs Hector Montalvo3-6, 2-6
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 standings for 2026 USA SPRING ADULT 18 & OVER LEAGUE have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

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 3.07 estimated across 6 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.

3.25
Roger Gonzalez
usually #1 Doubles 50%, also #2 Doubles 33% · published
3.22
Daniel Martinez
usually #1 Doubles 36%, also #3 Doubles 36% · published 3.5
3.21
Arvind Singhal
usually #3 Doubles 50%, also #2 Doubles 40% · published 3.5
3.11
Angel Garcia
usually #1 Singles 30%, also #3 Doubles 30% · published 3.5
2.85
David Thurman
usually #2 Doubles 50%, also #3 Doubles 25% · published 3
2.76
Christopher Ninkovich
usually #3 Doubles 80%, also #2 Singles 10% · published 3
EDMUND OSEI-WUSU
usually #3 Doubles 40%, also #2 Doubles 30% · published
Gerardo Gomez
usually #1 Doubles 36%, also #2 Doubles 32% · published
Harsh Tayal
usually #2 Doubles 47%, also #1 Doubles 35% · published
Kevin Dorman
usually #2 Doubles 50%, also #1 Doubles 25% · published
Kevin Woodson
usually #3 Doubles 67%, also #2 Doubles 22% · published
Manouchehr Refaeian
usually #3 Doubles 47%, also #1 Doubles 25% · published
Omar Pineda
usually #1 Singles 63%, also #2 Doubles 13% · published
Randall Studdard
usually #1 Doubles 50%, also #2 Doubles 45% · published
Robert Burns
usually #3 Doubles 46%, also #2 Doubles 36% · published
Sean McCarthy
usually #2 Singles 75%, also #1 Singles 25% · 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.

David Thurman + Christopher Ninkovich121055% gamesnot enough data
Roger Gonzalez + Angel Garcia7454% gamesnot enough data
Randall Studdard + Gerardo Gomez6355% gamesnot enough data
Manouchehr Refaeian + EDMUND OSEI-WUSU2445% gamesnot enough data
EDMUND OSEI-WUSU + Robert Burns4251% gamesnot enough data
Harsh Tayal + Arvind Singhal3259% gamesnot enough data
EDMUND OSEI-WUSU + Arvind Singhal3258% gamesnot enough data
Daniel Martinez + Arvind Singhal3248% 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.

Roger Gonzalez
82W–59L career · 6 lines in 2026
3%93%4%
3.25
3.5
Daniel Martinez
25W–41L career · 25 lines in 2026
6%92%2%
3.22
3.5
Arvind Singhal
50W–47L career · 10 lines in 2026
6%92%2%
3.21
3.5
Angel Garcia
57W–57L career · 9 lines in 2026
22%77%<1%
3.11
3
David Thurman
35W–27L career · 4 lines in 2026
1%85%14%
2.85
3
Christopher Ninkovich
25W–25L career · 10 lines in 2026
3%93%4%
2.76
EDMUND OSEI-WUSU
48W–85L career · 19 lines in 2026
not enough data
Gerardo Gomez
52W–48L career · 27 lines in 2026
not enough data
Harsh Tayal
25W–30L career · 17 lines in 2026
not enough data
Kevin Dorman
2W–2L career · 4 lines in 2026
not enough data
Kevin Woodson
84W–67L career · 18 lines in 2026
not enough data
Manouchehr Refaeian
112W–93L career · 35 lines in 2026
not enough data
Omar Pineda
48W–38L career · 16 lines in 2026
not enough data
Randall Studdard
32W–19L career · 20 lines in 2026
not enough data
Robert Burns
41W–43L career · 11 lines in 2026
not enough data
Sean McCarthy
1W–3L career · 4 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.