GEPTA/40&overMX/3.5/Refaeian/FB

SouthernNewMexico · 2026 USA MIXED 40 & OVER LEAGUE

18 players · average NTRP 3.45 / GEPTA

Schedule

Flight standings6 teams · 2026 USA MIXED 40 & OVER LEAGUE

Team	W	L	Ind. W	Ind. L	Sets lost	Games lost
1GEPTA/Avila/40and over/3.5MX	7	3	18	12	29	256
2GEPTA/40&overMX/3.5/Refaeian/FB	6	4	15	15	34	281
3GEPTA/40&overMX/3.5/Estrada/EPTC#1	5	5	17	13	31	270
4GEPTA/40&overMX/3.5/Caire/EPTC#2	5	5	15	15	36	295
5GEPTA/40&overMX/3.5/Cartwright/EPCC	5	5	14	16	41	305
6GEPTA/40&overMX/3.5/Orozco/TW	2	8	11	19	42	305

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 3.23 estimated across 11 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.

3.52

Erica McFarland

usually #1 Doubles 55%, also #2 Doubles 30% · published 3.5

3.48

Gabriela Stoiber

usually #1 Doubles 50%, also #2 Doubles 28% · published 3.5

3.45

Gerardo Gomez

usually #1 Doubles 36%, also #2 Doubles 32% · published 3.5

3.28

Harsh Tayal

usually #2 Doubles 47%, also #1 Doubles 35% · published 3.5

3.27

Gerla Gallardo

usually #1 Doubles 43%, also #2 Doubles 43% · 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

Ellen Hughes

usually #2 Doubles 44%, also #3 Doubles 30% · published 3.5

3.05

Donna Gray

usually #3 Doubles 37%, also #2 Doubles 32% · published 3.5

2.77

Christopher Ninkovich

usually #3 Doubles 80%, also #2 Singles 10% · published 3

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Manouchehr Refaeian

usually #3 Doubles 47%, also #1 Doubles 25% · published —

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Margaret Baeza

usually #3 Doubles 50%, also #2 Doubles 38% · published —

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Patricia Dalbin

usually #3 Doubles 48%, also #2 Doubles 28% · published —

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Ramona Beard

usually #3 Doubles 53%, also #2 Doubles 32% · published —

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Randall Studdard

usually #1 Doubles 50%, also #2 Doubles 45% · published —

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Robert Burns

usually #3 Doubles 46%, also #2 Doubles 36% · published —

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Yazmin Pineda

usually #1 Doubles 44%, also #2 Doubles 31% · 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 Burns	8–1	65% games	+15.7% vs expected
Randall Studdard + Gerardo Gomez	6–3	55% games	not enough data
Gerla Gallardo + Ellen Hughes	6–2	61% games	not enough data
Randall Studdard + Gabriela Stoiber	5–2	62% games	not enough data
Ramona Beard + Margaret Baeza	3–4	47% games	not enough data
Gerla Gallardo + Patricia Dalbin	2–4	46% games	not enough data
Manouchehr Refaeian + EDMUND OSEI-WUSU	2–4	45% games	not enough data
EDMUND OSEI-WUSU + Robert Burns	4–2	51% games	not 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

Erica McFarland

28W–16L career · 33 lines in 2026

<1%45%55%

3.52

3.5

Gabriela Stoiber

65W–58L career · 36 lines in 2026

<1%56%44%

3.48

3.5

Gerardo Gomez

72W–51L career · 27 lines in 2026

<1%66%34%

3.45

3.5

Harsh Tayal

24W–29L career · 17 lines in 2026

2%94%5%

3.28

3.5

Gerla Gallardo

96W–61L career · 28 lines in 2026

2%94%4%

3.27

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

Ellen Hughes

76W–84L career · 23 lines in 2026

21%79%<1%

3.11

3.5

Donna Gray

46W–48L career · 19 lines in 2026

35%65%<1%

3.05

Christopher Ninkovich

25W–25L career · 10 lines in 2026

2%94%4%

2.77

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Manouchehr Refaeian

109W–95L career · 35 lines in 2026

not enough data

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Margaret Baeza

23W–26L career · 8 lines in 2026

not enough data

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Patricia Dalbin

95W–70L career · 25 lines in 2026

not enough data

—

Ramona Beard

54W–59L career · 19 lines in 2026

not enough data

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Randall Studdard

32W–19L career · 20 lines in 2026

not enough data

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Robert Burns

61W–46L career · 11 lines in 2026

not enough data

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Yazmin Pineda

42W–36L career · 16 lines in 2026

not enough data

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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.