Teams

GEPTA/65&over/8.0W/Daniels/NMSU#2

SouthernNewMexico · 2026 USA ADULT 65 & OVER LEAGUE

11 players · average NTRP 4.00 / GEPTA

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Schedule5 upcoming · 1 played
Sep 8 9:00 AM
NMSU Tennis Center
Sep 15 9:00 AM
NMSU Tennis Center
Sep 22 9:00 AM
NMSU Tennis Center
Sep 29 9:00 AM
NMSU Tennis Center
Oct 6 9:00 AM
NMSU Tennis Center
2026-08-31Lost 01
L#3 DoublesMarcia Daniels / Sheryl Leicher vs Virginia Byrd / Kerry Lore4-6, 5-7
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.
Flight standings2 teams · 2026 USA ADULT 65 & OVER LEAGUE
TeamWLInd. WInd. LSets lostGames lost
1GEPTA/65&over/8.0WBlackman/NMSU#11021220
2GEPTA/65&over/8.0W/Daniels/NMSU#20112534

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 3.65 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.

3.71
Allison Deputy
usually #1 Doubles 43%, also #2 Doubles 36% · published 4
3.65
Sheryl Leicher
usually #3 Doubles 100% · published
3.58
Belle Middagh
usually #3 Doubles 40%, also #2 Doubles 40% · published 4
Estela Loy
usually #2 Doubles 38%, also #1 Doubles 38% · published
Gabriela Stoiber
usually #1 Doubles 51%, also #2 Doubles 29% · published
Marcia Daniels
usually #3 Doubles 39%, also #2 Doubles 39% · published
Monica Morga
usually #1 Doubles 50%, also #3 Doubles 38% · published
Sabrina Aguilar
usually #3 Doubles 54%, also #2 Doubles 39% · published
Traci Hooker
usually #2 Doubles 75%, also #1 Doubles 25% · published
Ursula Morawietz
usually #2 Doubles 46%, also #3 Doubles 46% · published
Yolanda Miranda
usually #3 Doubles 57%, 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.

Estela Loy + Ursula Morawietz4268% games−2.2% vs expected
Belle Middagh + Traci Hooker71047% games−6.3% vs expected
Estela Loy + Yolanda Miranda4247% gamesnot enough data
Marcia Daniels + Allison Deputy5063% gamesnot enough data
Estela Loy + Monica Morga134 matchesnot enough data
Marcia Daniels + Yolanda Miranda213 matchesnot enough data
Allison Deputy + Yolanda Miranda213 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
Allison Deputy
58W–34L career · 14 lines in 2026
6%92%2%
3.71
Sheryl Leicher
0W–4L career · 1 line in 2026
no projection at this level
3.65
4
Belle Middagh
38W–39L career · 5 lines in 2026
28%72%<1%
3.58
Estela Loy
67W–27L career · 8 lines in 2026
not enough data
Gabriela Stoiber
63W–57L career · 35 lines in 2026
not enough data
Marcia Daniels
78W–46L career · 13 lines in 2026
not enough data
Monica Morga
70W–72L career · 16 lines in 2026
not enough data
Sabrina Aguilar
41W–28L career · 13 lines in 2026
not enough data
Traci Hooker
27W–30L career · 4 lines in 2026
not enough data
Ursula Morawietz
40W–27L career · 13 lines in 2026
not enough data
Yolanda Miranda
60W–53L career · 7 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.