Teams

Southwest/Lunghi/55&over/6.0MX

SouthernNewMexico · 2025 USA MIXED 55 & OVER LEAGUE

14 players · average NTRP 3.17 / GEPTA

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Flight standings for 2025 USA MIXED 55 & 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 2.91 estimated across 3 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.

3.21
Arvind Singhal
usually #3 Doubles 52%, also #2 Doubles 30% · published 3.5
2.84
Diane Lunghi
usually #1 Doubles 53%, also #2 Doubles 27% · published 3
2.67
Cristina da Costa
usually #3 Doubles 43%, also #2 Doubles 29% · published 3
Ernesto Landeros
usually #1 Doubles 80%, also #2 Doubles 10% · published
Esther Orona
usually #1 Doubles 55%, also #3 Doubles 26% · published
Gloria King
usually #1 Doubles 44%, also #2 Doubles 39% · published
James Lambeth
usually #2 Doubles 49%, also #3 Doubles 27% · published
James McCleland
usually #3 Doubles 44%, also #1 Doubles 30% · published
Jennifer Bush
usually #1 Doubles 59%, also #2 Doubles 24% · published
Nelly Jallad
usually #1 Doubles 44%, also #3 Doubles 31% · published
Pat Rodriguez
usually #3 Doubles 46%, also #2 Doubles 32% · published
Patricia Moye Holderman
usually #2 Doubles 59%, also #1 Doubles 24% · published
Stephanie Beckles
usually #3 Doubles 44%, also #2 Doubles 30% · published
Steven King
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.

Jennifer Bush + Diane Lunghi151057% games+6.9% vs expected
Esther Orona + Diane Lunghi462059% games+1.0% vs expected
Esther Orona + Gloria King11753% gamesnot enough data
Esther Orona + Stephanie Beckles8456% gamesnot enough data
Diane Lunghi + Gloria King10266% gamesnot enough data
Cristina da Costa + Patricia Moye Holderman6553% gamesnot enough data
Esther Orona + Patricia Moye Holderman6362% gamesnot enough data
Patricia Moye Holderman + Gloria King6352% 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
Arvind Singhal
50W–47L career · 33 lines in 2025
6%92%2%
3.21
3
Diane Lunghi
141W–95L career · 30 lines in 2025
1%86%13%
2.84
3
Cristina da Costa
67W–91L career · 20 lines in 2025
12%87%1%
2.67
Ernesto Landeros
16W–3L career · 10 lines in 2025
not enough data
Esther Orona
123W–106L career · 38 lines in 2025
not enough data
Gloria King
100W–61L career · 62 lines in 2025
not enough data
James Lambeth
106W–98L career · 45 lines in 2025
not enough data
James McCleland
69W–65L career · 27 lines in 2025
not enough data
Jennifer Bush
71W–79L career · 17 lines in 2025
not enough data
Nelly Jallad
28W–36L career · 16 lines in 2025
not enough data
Pat Rodriguez
38W–55L career · 22 lines in 2025
not enough data
Patricia Moye Holderman
66W–59L career · 17 lines in 2025
not enough data
Stephanie Beckles
69W–60L career · 23 lines in 2025
not enough data
Steven King
1W–2L career · no 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.