Teams

GEPTA/Tri-level/3.0-4.0W/Huft

SouthernNewMexico · 2025 TRI-LEVEL LEAGUE

11 players · average NTRP 3.50 / GEPTA

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Schedule
Flight standings8 teams · 2025 TRI-LEVEL LEAGUE
TeamWLInd. WInd. LSets lostGames lost
1GEPTA/Tri-Level/3.0-4.0W/Colbert5214715175
2GEPTA/Cartwright/Trilevel/4.0-3.0W5214719191
3GEPTA/Tri-level/3.0-4.0W/Castaneda5212922176
4GEPTA/Tri-Level/3.0-4.0W/Molina4314716146
5GEPTA/Tri-Level/3.0-4.0W/Gabalindo43111023185
6GEPTA/Tri-Level/3.0-4.0W/Woo4391231222
7GEPTA/Tri-level/3.0-4.0W/Huft1651634228
8GEPTA/Tri-Level/3.0-4.0W/Garcia0751636235

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 3.18 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.

3.72
Cheryl Ledford
usually #1 Doubles 43%, also #2 Doubles 29% · published 4
3.12
Alyssa Hinojos
usually #2 Doubles 39%, also #1 Singles 31% · published 3.5
2.71
Alison Krattiger
usually #1 Doubles 53%, also #3 Doubles 29% · published 3
Gerrianne Lockhart-Walker
usually #3 Doubles 53%, also #1 Doubles 27% · published
Jaqueline Martinez Mendoza
usually #2 Doubles 40%, also #1 Singles 24% · published
Laura Odell
usually #1 Doubles 54%, also #2 Doubles 31% · published
Margaret Baeza
usually #3 Doubles 35%, also #2 Doubles 30% · published
Melissa Hufft
usually #1 Doubles 67%, also #3 Doubles 19% · published
Ramona Beard
usually #2 Doubles 53%, also #3 Doubles 35% · published
Sarahi Najera
usually #2 Singles 47%, also #2 Doubles 33% · published
Yolanda Zuverza
usually #1 Doubles 44%, also #2 Singles 22% · 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.

Gerrianne Lockhart-Walker + Laura Odell5357% gamesnot enough data
Gerrianne Lockhart-Walker + Alison Krattiger2644% gamesnot enough data
Ramona Beard + Margaret Baeza3447% gamesnot enough data
Gerrianne Lockhart-Walker + Margaret Baeza3451% gamesnot enough data
Gerrianne Lockhart-Walker + Alyssa Hinojos5253% gamesnot enough data
Yolanda Zuverza + Melissa Hufft314 matchesnot enough data
Ramona Beard + Sarahi Najera123 matchesnot 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
Cheryl Ledford
37W–52L career · 14 lines in 2025
6%92%2%
3.72
3.5
Alyssa Hinojos
41W–46L career · 12 lines in 2025
20%80%<1%
3.12
3
Alison Krattiger
30W–54L career · 37 lines in 2025
7%91%2%
2.71
Gerrianne Lockhart-Walker
61W–87L career · 30 lines in 2025
not enough data
Jaqueline Martinez Mendoza
35W–28L career · 23 lines in 2025
not enough data
Laura Odell
50W–41L career · 13 lines in 2025
not enough data
Margaret Baeza
23W–26L career · 20 lines in 2025
not enough data
Melissa Hufft
98W–71L career · 21 lines in 2025
not enough data
Ramona Beard
54W–60L career · 17 lines in 2025
not enough data
Sarahi Najera
69W–38L career · 15 lines in 2025
not enough data
Yolanda Zuverza
53W–49L career · 9 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.