Teams

Kimi 9A

2025 Ekolu League · 9.0

10 players · average NTRP 3.83 / EAST HAWAII

View scouting list →
Schedule6 played
2025-11-22vs Kimi 9BLost 01
L#1 Mixed DoublesDuane Sleightholm / Britta Zimmer-Long vs Sheri Kinoshita / Efren Ruiz4-6, 1-6
2025-11-16Won 10
W#1 Female DoublesBritta Zimmer-Long / Michelle Oishi vs N/A6-0, 6-0
2025-11-09vs Kimi 9BSplit 11
W#1 Female DoublesMari Horike / Michelle Oishi vs Jill Atwal / Sheri Kinoshita6-4, 6-1
L#1 Mixed DoublesLoyd Villanueva / Kirsten White vs Tomomi Furuhata / Tomoyuki Furuhata7-6, 2-6, 0-1
2025-11-09vs Kimi 9BLost 01
L#1 Mixed DoublesMari Horike / Loyd Villanueva vs Urumi Furuhata / Tomoyuki Furuhata3-6, 4-6
2025-11-02vs Kimi 9BLost 01
L#1 Mixed DoublesMari Horike / Nicholas Tran vs Jill Atwal / Efren Ruiz1-6, 4-6
2025-11-01vs Kimi 9BLost 12
W#1 Female DoublesKari Wicklund / Mari Horike vs N/A6-0, 6-0
L#1 Male DoublesKarl Sloss / Loyd Villanueva vs Efren Ruiz / Christopher Brilhante7-5, 5-7, 0-1
L#1 Mixed DoublesWayne Yamada / Michelle Oishi vs Tomomi Furuhata / Andy Narido Jr6-4, 3-6, 1-0
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 standings2 teams · 9.0
TeamWLInd. WInd. LSets lostGames lost
1Kimi 9B4212616134
2Kimi 9A2461226174

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 3.62 estimated across 7 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.

4.02
Kari Wicklund
usually #1 Female Doubles 100% · published 4
3.83
Loyd Villanueva
usually #1 Mixed Doubles 60%, also #1 Male Doubles 40% · published 4
3.81
Mari Horike
usually #1 Mixed Doubles 60%, also #1 Female Doubles 40% · published 4
3.50
Duane Sleightholm
published
3.49
Michelle Oishi
usually #1 Female Doubles 67%, also #1 Mixed Doubles 33% · published 4
3.45
Britta Zimmer-Long
usually #1 Female Doubles 80%, also #1 Mixed Doubles 20% · published 3.5
3.23
Kimiona Watkins
usually #1 Female Doubles 58%, also #1 Mixed Doubles 42% · published 3.5
Kirsten White
published
Nicholas Tran
published
Wayne Yamada
published
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
Kari Wicklund
43W–13L career · 3 lines in 2025
<1%44%56%
4.02
4
Loyd Villanueva
28W–38L career · 5 lines in 2025
1%88%12%
3.83
4
Mari Horike
86W–84L career · 10 lines in 2025
1%90%9%
3.81
Duane Sleightholm
27W–20L career · no lines in 2025
<1%51%49%
3.50
4
Michelle Oishi
30W–45L career · 3 lines in 2025
53%47%<1%
3.49
3.5
Britta Zimmer-Long
77W–47L career · 5 lines in 2025
<1%63%37%
3.45
3.5
Kimiona Watkins
179W–109L career · 12 lines in 2025
5%92%3%
3.23
Kirsten White
8W–1L career · no lines in 2025
not enough data
Nicholas Tran
11W–3L career · no lines in 2025
not enough data
Wayne Yamada
35W–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.