Teams

GEPTA/Tri-level/4.0-3.0W/Cartwright#3

SouthernNewMexico · 2026 TRI-LEVEL LEAGUE

12 players · average NTRP 3.50 / GEPTA

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Flight standings7 teams · 2026 TRI-LEVEL LEAGUE
TeamWLInd. WInd. LSets lostGames lost
1GEPTA/Tri-level/4.0-3.0W/woo#7000000
2GEPTA/Tri-level/4.0-3.0W/Molina#6000000
3GEPTA/Tri-level/4.0-3.0W/Baeza#1000000
4GEPTA/Tri-level/4.0-3.0W/Caire#2000000
5GEPTA/Tri-level/4.0-3.0W/Cartwright#3000000
6GEPTA/Tri-level/4.0-3.0W/Martinez#5000000
7GEPTA/Tri-level/4.0-3.0W/Colbert#4000000

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 3.20 estimated across 5 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
Ashleigh Barreno
usually #3 Doubles 43%, also #1 Doubles 29% · published 4
3.67
Danielle Harrison
usually #2 Doubles 33%, also #1 Doubles 33% · published 4
Allison Furman
usually #3 Doubles 100% · published 3.5
2.89
Allene Mirazo
usually #2 Doubles 33%, also #1 Doubles 30% · published 3
2.86
Diana Cardiel
usually #1 Singles 36%, also #1 Doubles 26% · published 3
2.86
Joey Hass
usually #2 Doubles 60%, also #3 Doubles 40% · published
Jessica Porras
usually #2 Singles 56%, also #1 Singles 33% · published
Kathy Cartwright
usually #3 Doubles 79%, also #2 Doubles 14% · published
Keithley Stanley
usually #1 Singles 27%, also #2 Singles 27% · published
Kelly Upson
usually #1 Doubles 77%, also #2 Doubles 18% · published
Maria Julieta Hall-Ochoa
usually #1 Doubles 38%, also #2 Doubles 38% · published
Monica Gonzalez
usually #1 Doubles 24%, also #3 Doubles 24% · 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.

Danielle Harrison + Kathy Cartwright261557% games+1.5% vs expected
Allene Mirazo + Keithley Stanley3447% gamesnot enough data
Danielle Harrison + Ashleigh Barreno5073% gamesnot enough data
Danielle Harrison + Joey Hass224 matchesnot enough data
Kathy Cartwright + Joey Hass134 matchesnot enough data
Joey Hass + Ashleigh Barreno224 matchesnot enough data
Kathy Cartwright + Ashleigh Barreno123 matchesnot enough data
Kathy Cartwright + Allison Furman303 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
Ashleigh Barreno
49W–30L career · 7 lines in 2026
6%92%2%
3.72
4
Danielle Harrison
48W–28L career · 6 lines in 2026
11%88%1%
3.67
3.5
Allison Furman
31W–21L career · 1 line in 2026
not enough data
3
Allene Mirazo
65W–70L career · 31 lines in 2026
<1%79%21%
2.89
3
Diana Cardiel
36W–56L career · 29 lines in 2026
<1%83%16%
2.86
Joey Hass
66W–85L career · 5 lines in 2026
0%1%99%
2.86
Jessica Porras
22W–8L career · 9 lines in 2026
not enough data
Kathy Cartwright
98W–60L career · 14 lines in 2026
not enough data
Keithley Stanley
49W–30L career · 21 lines in 2026
not enough data
Kelly Upson
45W–40L career · 17 lines in 2026
not enough data
Maria Julieta Hall-Ochoa
67W–64L career · 38 lines in 2026
not enough data
Monica Gonzalez
55W–41L career · 25 lines in 2026
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.