Teams

GEPTA/Mora/Trilevel/3.5-4.5W

SouthernNewMexico · 2024 TRI-LEVEL LEAGUE

12 players · average NTRP 4.17 / GEPTA

View scouting list →
Schedule
Flight standings5 teams · 2024 TRI-LEVEL LEAGUE
TeamWLInd. WInd. LSets lostGames lost
1GEPTA/Mora/Trilevel/3.5-4.5W7119515177
2GEPTA/Tri-Level/3.5-4.5W(Quevedo)(EPTC#2)5315920199
3GEPTA/Tri-Level/3.5-4.5W(Lobato)(EPTC#4)5315923216
4GEPTA/Tri-Level/3.5-4.5W(Woo)(EPTC#1)2651941275
5GEPTA/Tri-Level/3.5-4.5W(Alost)(CCC)1761838251

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 3.84 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.

4.22
Amy Orourke
usually #2 Doubles 31%, also #1 Doubles 25% · published 4.5
3.74
Diana Lozano
usually #2 Doubles 46%, also #1 Doubles 36% · published 4
3.56
Ashley Bowling
usually #1 Doubles 44%, also #3 Doubles 28% · published 4
Holly Mata
usually #1 Doubles 47%, also #2 Doubles 21% · published
Mariana Pichu
usually #2 Doubles 40%, also #2 Singles 20% · published
Melissa Dore
usually #2 Doubles 55%, also #1 Doubles 32% · published
Melissa Hufft
usually #1 Doubles 34%, also #3 Doubles 25% · published
Miranda Silva
usually #3 Doubles 35%, also #2 Singles 30% · published
Rocio Molina
usually #2 Doubles 34%, also #1 Doubles 34% · published
Rocio Mora
usually #1 Doubles 48%, also #3 Doubles 37% · published
Rosa Chivardi-Ortiz
usually #1 Doubles 47%, also #2 Doubles 24% · published
Stephanie Ruiz
usually #2 Doubles 36%, also #3 Doubles 36% · 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.

Melissa Dore + Melissa Hufft5063% gamesnot enough data
Rocio Mora + Rosa Chivardi-Ortiz314 matchesnot enough data
Rocio Mora + Holly Mata303 matchesnot enough data
Miranda Silva + Ashley Bowling303 matchesnot enough data
Melissa Dore + Holly Mata213 matchesnot enough data
Melissa Dore + Amy Orourke213 matchesnot enough data
Holly Mata + Rosa Chivardi-Ortiz213 matchesnot enough data
Rosa Chivardi-Ortiz + Amy Orourke303 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.

4.5
Amy Orourke
69W–33L career · 15 lines in 2024
6%92%2%
4.22
4
Diana Lozano
13W–16L career · 11 lines in 2024
5%92%3%
3.74
4
Ashley Bowling
59W–43L career · 25 lines in 2024
33%67%<1%
3.56
Holly Mata
67W–33L career · 17 lines in 2024
not enough data
Mariana Pichu
15W–17L career · 9 lines in 2024
not enough data
Melissa Dore
107W–93L career · 22 lines in 2024
not enough data
Melissa Hufft
98W–71L career · 29 lines in 2024
not enough data
Miranda Silva
92W–68L career · 19 lines in 2024
not enough data
Rocio Molina
78W–48L career · 38 lines in 2024
not enough data
Rocio Mora
46W–23L career · 27 lines in 2024
not enough data
Rosa Chivardi-Ortiz
78W–38L career · 17 lines in 2024
not enough data
Stephanie Ruiz
39W–19L career · 13 lines in 2024
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.