Teams

7.0A

2026 Mixed 40 and Over League · 7.0

15 players · average NTRP 3.45 / EAST HAWAII

View scouting list →
Schedule6 played
2026-07-25vs Tightly StrungWon 21
W#1 DoublesMari Horike / RYAN OKAMURA vs Glenn Takase / Ramona Sakamoto6-2, 5-7, 1-0
L#2 DoublesThomas Belcher / Kimiona Watkins vs Wayne Yamada / Darnella Villanueva3-6, 3-6
W#3 DoublesRiley Ceria / Mei Ceria vs Kelvin Nishiura / Melinda Mizuno6-1, 6-2
2026-06-27vs Loosely StrungLost 12
L#1 DoublesRYAN OKAMURA / Mari Horike vs Britta Zimmer-Long / Adam Long5-7, 4-6
L#2 DoublesSatoshi Tanaka / Tomoko Sakishima vs Dean Takebayashi / Patti Taira-Tokuuke6-4, 3-6, 1-0
W#3 DoublesThomas Belcher / Gwen Tanaka vs Lance Kaneshiro / Jayneen Souza6-4, 6-3
2026-06-25vs Loosely StrungWon 30
W#1 DoublesSatoshi Tanaka / Tomoko Sakishima vs Nolan Yamaki / Malia Wong6-4, 6-2
W#2 DoublesGwen Tanaka / Keith Kunimoto vs Lance Kaneshiro / Patti Taira-Tokuuke6-1, 6-2
W#3 DoublesMari Horike / RYAN OKAMURA vs Britta Zimmer-Long / Adam Long6-4, 5-7, 1-0
2026-06-14vs Tightly StrungWon 30
W#1 DoublesTy de Silva / Chrissy Capati vs Glenn Takase / Ramona Sakamoto6-1, 6-0
W#2 DoublesMac Rivera / Kimiona Watkins vs Darnella Villanueva / Wayne Yamada6-2, 6-2
W#3 DoublesMari Horike / RYAN OKAMURA vs Sheri Kinoshita / Dave Okamura7-6, 6-2
2026-06-06vs Loosely StrungWon 30
W#1 DoublesTy de Silva / Chrissy Capati vs Nolan Yamaki / Lynn Hatada6-1, 6-2
W#2 DoublesMark Chun / Marianne Takamiya vs Britta Zimmer-Long / Jon Tokuuke6-3, 6-3
W#3 DoublesMac Rivera / Kimiona Watkins vs Adam Long / Michele Lefebvre7-6, 6-2
2026-05-30vs Tightly StrungWon 30
W#1 DoublesRiley Ceria / Mei Ceria vs Wayne Yamada / Ramona Sakamoto6-2, 5-7, 1-0
W#2 DoublesMark Chun / Marianne Takamiya vs Darnella Villanueva / Glenn Takase6-7, 6-3, 1-0
W#3 DoublesKeith Kunimoto / Chrissy Capati vs Kelvin Nishiura / Noriko Kobayashi6-1, 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 standings1 teams · 7.0
TeamWLInd. WInd. LSets lostGames lost
17.0A5115310127

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 3.33 estimated across 14 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.

3.81
Mari Horike
usually #3 Doubles 43%, also #1 Doubles 43% · published 4
3.56
Satoshi Tanaka
usually #2 Doubles 50%, also #1 Doubles 50% · published
3.46
Mac Rivera
usually #3 Doubles 43%, also #2 Doubles 43% · published 3.5
3.45
Ty de Silva
usually #1 Doubles 100% · published
3.41
Keith Kunimoto
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
3.39
Tomoko Sakishima
usually #2 Doubles 50%, also #1 Doubles 50% · published
3.39
Marianne Takamiya
usually #2 Doubles 100% · published 3.5
3.26
Riley Ceria
usually #1 Doubles 33%, also #2 Doubles 33% · published 3.5
3.24
Mark Chun
usually #2 Doubles 100% · published
3.23
Kimiona Watkins
usually #2 Doubles 50%, also #3 Doubles 25% · published 3.5
3.20
Gwen Tanaka
usually #2 Doubles 40%, also #3 Doubles 40% · published 3.5
3.20
Chrissy Capati
usually #1 Doubles 67%, also #3 Doubles 33% · published 3.5
3.16
Mei Ceria
usually #1 Doubles 50%, also #3 Doubles 50% · published 3
2.85
RYAN OKAMURA
usually #3 Doubles 44%, also #1 Doubles 33% · published 3
Thomas Belcher
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.

Keith Kunimoto + Kimiona Watkins5086% games+22.5% vs expected
Riley Ceria + Mei Ceria16467% games+19.8% vs expected
Ty de Silva + Chrissy Capati13664% games+16.4% vs expected
Keith Kunimoto + Gwen Tanaka4255% games+14.2% vs expected
Kimiona Watkins + Mac Rivera9457% games+13.2% vs expected
RYAN OKAMURA + Mei Ceria3458% games+9.2% vs expected
Mark Chun + Marianne Takamiya9655% games+2.7% vs expected
Mari Horike + RYAN OKAMURA4256% games+1.2% vs expected
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
Mari Horike
86W–84L career · 7 lines in 2026
1%90%9%
3.81
Satoshi Tanaka
44W–11L career · 2 lines in 2026
<1%35%65%
3.56
3.5
Mac Rivera
90W–82L career · 7 lines in 2026
<1%62%38%
3.46
Ty de Silva
32W–14L career · 2 lines in 2026
<1%64%36%
3.45
3.5
Keith Kunimoto
149W–86L career · 4 lines in 2026
<1%74%25%
3.41
Tomoko Sakishima
67W–43L career · 2 lines in 2026
<1%77%22%
3.39
3.5
Marianne Takamiya
86W–99L career · 2 lines in 2026
<1%78%22%
3.39
3.5
Riley Ceria
94W–43L career · 3 lines in 2026
3%92%5%
3.26
Mark Chun
42W–18L career · 2 lines in 2026
4%93%3%
3.24
3.5
Kimiona Watkins
179W–109L career · 8 lines in 2026
5%92%3%
3.23
3.5
Gwen Tanaka
88W–51L career · 5 lines in 2026
8%91%2%
3.20
3.5
Chrissy Capati
40W–9L career · 3 lines in 2026
8%91%2%
3.20
3
Mei Ceria
92W–28L career · 2 lines in 2026
<1%13%87%
3.16
3
RYAN OKAMURA
56W–61L career · 9 lines in 2026
1%85%14%
2.85
Thomas Belcher
17W–14L career · no 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.