Teams

GYB

2023 Ekolu 18 and Over League · 7.0

14 players · average NTRP 3.50 / OAHU

View scouting list →
Schedule5 played
2023-09-20vs Tennis Hall of FramersLost 01
L#1 Female DoublesSheila Taeza / Minako Taniguchi vs Hiromi Saito / Melissa MacHida3-6, 1-6
2023-08-19vs TJFF EkoluWon 10
W#1 Mixed DoublesMinako Taniguchi / Tomoko L Hirano vs Suzanne Bernstein / Christina Asao6-0, 6-3
2023-08-12vs Penn PalsLost 01
L#1 Female DoublesTomoko L Hirano / Minako Taniguchi vs Jena Nakata / Katie Yamamoto2-6, 6-4, 0-1
2023-07-29vs Pinoy TennisWon 10
W#1 Mixed DoublesPaul Chen / Minako Taniguchi vs ROMARICO DOMINGO / Helen Ramos6-2, 6-2
2023-07-01vs Go For ItWon 10
W#1 Female DoublesMinako Taniguchi / Tomoko L Hirano vs Janis Kanegawa / Kathryn Young6-1, 6-1
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 standings for 7.0 have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

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 3.44 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.

3.59
Amber Stanley
published 4
3.57
Mai-Li Hokama
published
3.56
Tomoko L Hirano
published
3.44
Paul Chen
published
3.41
Reid Fukuya
published
3.08
Minako Taniguchi
usually #1 Female Doubles 60%, also #1 Mixed Doubles 40% · published 3
Kunal Parekh
published
Massimo Silivestro
published
Mena Ghbrial
published
Michael Umaki
published
Minako Shuster
published
Sheila Taeza
published
Tarek Farid
published
Tina Mukai
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.

Paul Chen + Kunal Parekh213 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
Amber Stanley
10W–24L career · type M · no lines in 2023
27%73%<1%
3.59
Mai-Li Hokama
35W–7L career · no lines in 2023
<1%32%68%
3.57
Tomoko L Hirano
85W–38L career · no lines in 2023
<1%34%66%
3.56
Paul Chen
64W–58L career · no lines in 2023
<1%67%33%
3.44
Reid Fukuya
35W–33L career · no lines in 2023
<1%73%27%
3.41
3
Minako Taniguchi
49W–21L career · 5 lines in 2023
<1%30%70%
3.08
Kunal Parekh
19W–7L career · no lines in 2023
not enough data
Massimo Silivestro
15W–12L career · no lines in 2023
not enough data
Mena Ghbrial
12W–10L career · no lines in 2023
not enough data
Michael Umaki
18W–10L career · no lines in 2023
not enough data
Minako Shuster
3W–6L career · no lines in 2023
not enough data
Sheila Taeza
4W–7L career · no lines in 2023
not enough data
Tarek Farid
16W–3L career · no lines in 2023
not enough data
Tina Mukai
4W–6L career · no lines in 2023
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.