Teams

Frame Bendahz

2025 Ekolu League · 7.0

14 players · average NTRP 3.62 / MAUI

View scouting list →
Schedule5 played
2025-11-16vs Mike's 7.0-1Won 10
W#1 Female DoublesErin Haywood / shar martin vs Mikayla Lau / Aleth Sabugo7-5, 1-6, 1-0
2025-11-08vs It Puts The Ball InLost 01
L#1 Female Doublesshar martin / Angelica Almogela vs Trudi Vierra / Tesha Newman2-6, 2-6
2025-11-06vs Ball BustersLost 01
L#1 Female Doublesshar martin / Nicole Aceret vs Aiko da Silva / Rachel Kofron4-6, 5-7
2025-10-19vs MCC HurricaneLost 01
L#1 Female DoublesKristin Walker / shar martin vs Catherine Hall / Sabrina Jardine3-6, 3-6
2025-10-04vs Mike's 7.0-2Won 10
W#1 Female Doublesshar martin / Nicole Aceret vs Patricia Keau / Gaela Prince6-4, 6-3
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 standings3 teams · 7.0
TeamWLInd. WInd. LSets lostGames lost
1It Puts The Ball In6116512147
2Maui Country Club4313817146
3Frame Bendahz3491227201

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 3.45 estimated across 8 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.

3.92
Deanna DiBiase
published 4
3.80
Andrew Yoon
published 4
3.65
Nolan Wren
published
3.40
shar martin
usually #1 Female Doubles 71%, also #1 Mixed Doubles 29% · published 3.5
3.38
Erin Haywood
published
3.32
Jason Albano
published
3.13
Eugene Uclaray
published
2.97
Zachary Ricardos
published
Emily Collins
published
Kristin Walker
published
Morel Nones
published
Nicole Aceret
published
Steven Nguyen
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.

Morel Nones + Eugene Uclaray3247% gamesnot enough data
Zachary Ricardos + Eugene Uclaray134 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
Deanna DiBiase
138W–103L career · no lines in 2025
<1%72%28%
3.92
4
Andrew Yoon
56W–22L career · no lines in 2025
2%91%7%
3.80
Nolan Wren
2W–11L career · no lines in 2025
14%86%1%
3.65
3.5
shar martin
36W–39L career · 7 lines in 2025
<1%76%24%
3.40
Erin Haywood
28W–18L career · no lines in 2025
<1%79%20%
3.38
Jason Albano
4W–8L career · no lines in 2025
1%89%10%
3.32
Eugene Uclaray
17W–20L career · no lines in 2025
19%81%<1%
3.13
Zachary Ricardos
15W–32L career · no lines in 2025
58%42%<1%
2.97
3
Angelica Almogela
9W–15L career · no lines in 2025
not enough data
Emily Collins
44W–30L career · no lines in 2025
not enough data
Kristin Walker
18W–14L career · no lines in 2025
not enough data
Morel Nones
16W–16L career · no lines in 2025
not enough data
Nicole Aceret
4W–1L career · no lines in 2025
not enough data
Steven Nguyen
32W–10L career · no 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.