Teams

Kilauea Braves

2023 Ekolu 18 and Over League · 6.0

15 players · average NTRP 3.17 / OAHU

View scouting list →
Schedule3 played
2023-07-29vs Tennis Hall of FramersLost 01
L#1 Mixed DoublesEugene Hatakeyama / Regina Chang vs Hayato Aramaki / Kathleen Rubio3-6, 6-7
2023-07-15vs Kilauea HeatLost 01
L#1 Mixed DoublesEugene Hatakeyama / Sharyl Shultz vs Duane Ikeda / Shaila Campbell4-6, 6-4, 0-1
2023-07-01vs The Confidence BuildersSplit 11
L#1 Female DoublesYuen Sin / Sharyl Shultz vs Kumiko Kida / Alpana Khairom0-6, 0-6
W#1 Mixed DoublesEugene Hatakeyama / Regina Chang vs Trai Matthew Klag / Lovely Lacbay7-5, 6-0
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 6.0 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 3.13 estimated across 11 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.

3.73
Madeleine Dreith
published 4
3.57
Mai-Li Hokama
published
3.45
Eugene Hatakeyama
published
3.38
Gordon Li
published
3.32
Regina Chang
usually #1 Mixed Doubles 100% · published 3.5
3.29
Ted Kobayashi
published
3.27
Ace-Kamakani Inouye
published 3.5
3.18
Michael Taratko
published
2.90
Michelle Dela Cruz
published
Courtney Lin
published 3
Amy Capwell
published 2.5
2.22
Jhoanna Mabutas
published
2.15
Sharyl Shultz
usually #1 Female Doubles 50%, also #1 Mixed Doubles 50% · published 2.5
Jason Yoshioka
published
Yuen Sin
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.

Jhoanna Mabutas + Sharyl Shultz0523% gamesnot 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
Madeleine Dreith
58W–40L career · no lines in 2023
5%92%3%
3.73
Mai-Li Hokama
35W–7L career · no lines in 2023
<1%32%68%
3.57
Eugene Hatakeyama
14W–10L career · no lines in 2023
64%36%<1%
3.45
Gordon Li
6W–6L career · no lines in 2023
81%19%<1%
3.38
3.5
Regina Chang
25W–15L career · 2 lines in 2023
1%89%10%
3.32
Ted Kobayashi
9W–4L career · no lines in 2023
93%7%<1%
3.29
3.5
Ace-Kamakani Inouye
18W–14L career · no lines in 2023
3%92%5%
3.27
Michael Taratko
20W–16L career · no lines in 2023
9%89%1%
3.18
Michelle Dela Cruz
13W–12L career · no lines in 2023
<1%76%24%
2.90
3
Courtney Lin
9W–5L career · no lines in 2023
not enough data
2.5
Amy Capwell
2W–14L career · no lines in 2023
not enough data
Jhoanna Mabutas
3W–18L career · no lines in 2023
0%98%2%
2.22
2.5
Sharyl Shultz
12W–37L career · 2 lines in 2023
0%99%1%
2.15
Jason Yoshioka
1W–5L career · no lines in 2023
not enough data
Yuen Sin
0W–2L 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.