Teams

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

SouthernNewMexico · 2025 TRI-LEVEL LEAGUE

10 players · average NTRP 3.67 / 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 3.46 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.

3.64
Bianca Loya
usually #1 Doubles 53%, also #2 Doubles 27% · published 4
3.62
Iyari Fierro
usually #3 Doubles 31%, also #2 Singles 25% · published 4
3.59
Brianna Barreiro
usually #1 Doubles 39%, also #3 Doubles 22% · published 3.5
3.37
Jammie Price
usually #2 Doubles 38%, also #1 Doubles 33% · published 3.5
3.32
Helga Sauza
usually #1 Singles 47%, also #3 Doubles 24% · published 3.5
3.20
Erika Centeno
usually #1 Doubles 41%, also #3 Doubles 33% · published 3.5
Katherine Haycraft
usually #1 Doubles 60%, also #3 Doubles 20% · published
Kristen Swanson-Pallares
usually #1 Doubles 39%, also #3 Doubles 25% · published
Miranda Silva
usually #2 Doubles 27%, also #3 Doubles 23% · published
Rocio Molina
usually #1 Doubles 46%, also #2 Doubles 29% · 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.

Kristen Swanson-Pallares + Erika Centeno6257% gamesnot enough data
Rocio Molina + Bianca Loya224 matchesnot enough data
Erika Centeno + Brianna Barreiro404 matchesnot enough data
Miranda Silva + Helga Sauza213 matchesnot enough data
Iyari Fierro + Bianca Loya213 matchesnot enough data
Bianca Loya + Katherine Haycraft213 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
Bianca Loya
42W–32L career · 15 lines in 2025
14%86%<1%
3.64
4
Iyari Fierro
28W–16L career · 14 lines in 2025
18%82%<1%
3.62
3.5
Brianna Barreiro
43W–6L career · 23 lines in 2025
<1%25%75%
3.59
3.5
Jammie Price
47W–44L career · 21 lines in 2025
<1%85%15%
3.37
3.5
Helga Sauza
76W–39L career · 32 lines in 2025
1%91%9%
3.32
3.5
Erika Centeno
36W–25L career · 37 lines in 2025
6%93%1%
3.20
Katherine Haycraft
25W–10L career · 10 lines in 2025
not enough data
Kristen Swanson-Pallares
76W–35L career · 44 lines in 2025
not enough data
Miranda Silva
88W–67L career · 19 lines in 2025
not enough data
Rocio Molina
78W–48L career · 35 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.