Teams

GEPTA/Tri-Level/3.0-4.0W/Woo

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 3.21 estimated across 4 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.

3.69
Beth Hoy
usually #2 Singles 38%, also #1 Singles 33% · published 4
3.20
Camila Abbud
usually #1 Singles 35%, also #3 Doubles 27% · published 3.5
3.04
Belinda Fernandez
usually #2 Doubles 36%, also #1 Singles 23% · published 3.5
2.93
Ariana Dominguez
usually #2 Singles 50%, also #1 Singles 29% · published 3
Jeanette Tan
usually #3 Doubles 58%, also #2 Doubles 25% · published
Jennifer Ibarra
usually #3 Doubles 30%, also #2 Singles 30% · published
Jennifer Woo
usually #2 Doubles 53%, also #1 Doubles 37% · published
Lori Armendariz
usually #2 Doubles 56%, also #3 Doubles 20% · published
Lori DeLisser
usually #3 Doubles 55%, also #1 Doubles 35% · published
Stephanie Kwan
usually #2 Doubles 53%, also #1 Doubles 27% · published
Yuri Caire
usually #1 Doubles 38%, also #2 Doubles 28% · 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.

Stephanie Kwan + Jennifer Woo101049% games−8.4% vs expected
Camila Abbud + Yuri Caire7157% gamesnot enough data
Lori Armendariz + Beth Hoy6177% gamesnot enough data
Belinda Fernandez + Yuri Caire2448% gamesnot enough data
Lori Armendariz + Yuri Caire2347% gamesnot enough data
Belinda Fernandez + Lori Armendariz044 matchesnot enough data
Ariana Dominguez + Yuri Caire314 matchesnot enough data
Jeanette Tan + Jennifer Woo123 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
Beth Hoy
37W–12L career · 23 lines in 2025
8%91%1%
3.69
3.5
Camila Abbud
35W–22L career · 24 lines in 2025
6%93%1%
3.20
3.5
Belinda Fernandez
57W–57L career · type A · 30 lines in 2025
39%61%<1%
3.04
3
Ariana Dominguez
32W–22L career · 14 lines in 2025
<1%69%31%
2.93
Jeanette Tan
39W–51L career · 12 lines in 2025
not enough data
Jennifer Ibarra
35W–38L career · 10 lines in 2025
not enough data
Jennifer Woo
81W–101L career · 19 lines in 2025
not enough data
Lori Armendariz
52W–55L career · 24 lines in 2025
not enough data
Lori DeLisser
94W–74L career · 20 lines in 2025
not enough data
Stephanie Kwan
29W–43L career · 15 lines in 2025
not enough data
Yuri Caire
50W–38L career · 39 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.