Teams

Double Whammy

2024 Mixed 40 and Over League · 7.0

12 players · average NTRP 3.30 / EAST HAWAII

View scouting list →
Schedule6 played
2024-07-13vs Kimi 7.0 - 1Lost 03
L#1 DoublesDean Takebayashi / Hanna Wilson vs Satoshi Tanaka / Lori Kamimura0-6, 1-6
L#2 DoublesMichael Marshall / Charlene Pascual vs Riley Ceria / Mei Ceria2-6, 0-6
L#3 DoublesValerie Galacgac / Paul Brotzman vs Gwen Tanaka / RYAN OKAMURA0-6, 1-6
2024-07-06vs Kimi 7.0 - 1Lost 03
L#1 DoublesGrant Nishida / Valerie Galacgac vs Mark Chun / Marianne Takamiya3-6, 2-6
L#2 DoublesLester Oshiro / Rebecca Marshall vs Riley Ceria / Mei Ceria1-6, 0-6
L#3 DoublesDavid Fuselier / Marleen Cabarloc vs Satoshi Tanaka / Gwen Tanaka7-6, 2-6, 0-1
2024-06-29vs Game Set LunchWon 30
W#1 DoublesTomoko Sakishima / Dean Takebayashi vs Lynn Hatada / Kelvin Nishiura6-0, 6-2
W#2 DoublesMichael Marshall / Charlene Pascual vs Brian Koge / Michele Lefebvre6-2, 6-2
W#3 DoublesMarleen Cabarloc / David Fuselier vs Jun Ishimine / J Yoshimoto6-3, 6-4
2024-06-22vs Kimi 7.0 - 2Lost 12
W#1 DoublesMichael Marshall / Hanna Wilson vs Kareem Khozaim / Darnella Villanueva6-2, 6-2
L#2 DoublesGrant Nishida / Marleen Cabarloc vs Britta Zimmer-Long / Adam Long0-6, 0-6
L#3 DoublesLester Oshiro / Rebecca Marshall vs Mac Rivera / Savery Kann0-6, 0-6
2024-06-15vs Game Set LunchWon 30
W#1 DoublesGrant Nishida / Tomoko Sakishima vs Jonathan Aronce / Noriko Kobayashi3-6, 6-3, 1-0
W#2 DoublesCharlene Pascual / Dean Takebayashi vs Patti Taira-Tokuuke / Jon Tokuuke6-7, 6-4, 1-0
W#3 DoublesLester Oshiro / Hanna Wilson vs Jun Ishimine / Dave Okamura6-3, 6-4
2024-06-01vs Kimi 7.0 - 2Lost 03
L#1 DoublesDavid Fuselier / Hanna Wilson vs Saman Hosseini / Mari Horike2-6, 6-4, 0-1
L#2 DoublesDean Takebayashi / Rebecca Marshall vs Thomas Belcher / Britta Zimmer-Long4-6, 3-6
L#3 DoublesPaul Brotzman / Tomoko Sakishima vs Mac Rivera / Savery Kann0-6, 0-6
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 standings4 teams · 7.0
TeamWLInd. WInd. LSets lostGames lost
1Kimi 7.0 - 15113513101
2Kimi 7.0 - 25113514129
3Double Whammy2471124176
4Game Set Lunch0631532205

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 3.02 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.

3.39
Tomoko Sakishima
usually #1 Doubles 67%, also #3 Doubles 33% · published
3.30
David Fuselier
usually #3 Doubles 67%, also #1 Doubles 33% · published 3.5
3.29
Dean Takebayashi
usually #2 Doubles 50%, also #1 Doubles 50% · published 3.5
3.25
Hanna Wilson
usually #1 Doubles 75%, also #3 Doubles 25% · published
3.11
Lester Oshiro
usually #3 Doubles 67%, also #2 Doubles 33% · published 3.5
3.10
Grant Nishida
usually #1 Doubles 67%, also #2 Doubles 33% · published
2.95
Michael Marshall
usually #2 Doubles 67%, also #1 Doubles 33% · published
2.81
Charlene Pascual
usually #2 Doubles 100% · published 3
2.77
Marleen Cabarloc
usually #3 Doubles 67%, also #2 Doubles 33% · published
2.66
Rebecca Marshall
usually #3 Doubles 57%, also #2 Doubles 29% · published
2.63
Valerie Galacgac
usually #3 Doubles 50%, also #2 Doubles 33% · published 3
Paul Brotzman
usually #3 Doubles 80%, also #1 Doubles 20% · 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.

Dean Takebayashi + Charlene Pascual5942% games−3.0% vs expected
Hanna Wilson + Michael Marshall2544% games−11.1% vs expected
Marleen Cabarloc + David Fuselier2443% gamesnot enough data
Hanna Wilson + David Fuselier2447% gamesnot enough data
Dean Takebayashi + Marleen Cabarloc224 matchesnot enough data
Dean Takebayashi + Tomoko Sakishima224 matchesnot enough data
Marleen Cabarloc + Michael Marshall134 matchesnot enough data
Valerie Galacgac + Michael Marshall044 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.

Tomoko Sakishima
67W–43L career · 6 lines in 2024
<1%77%22%
3.39
3.5
David Fuselier
38W–42L career · 3 lines in 2024
2%91%7%
3.30
3.5
Dean Takebayashi
126W–142L career · 4 lines in 2024
2%92%6%
3.29
Hanna Wilson
81W–99L career · 4 lines in 2024
3%93%4%
3.25
3.5
Lester Oshiro
64W–121L career · 3 lines in 2024
21%79%<1%
3.11
Grant Nishida
14W–15L career · 3 lines in 2024
23%76%<1%
3.10
Michael Marshall
50W–80L career · 6 lines in 2024
63%37%<1%
2.95
3
Charlene Pascual
53W–70L career · 3 lines in 2024
1%90%8%
2.81
Marleen Cabarloc
79W–74L career · 3 lines in 2024
3%92%5%
2.77
Rebecca Marshall
44W–60L career · 7 lines in 2024
13%86%1%
2.66
3
Valerie Galacgac
101W–147L career · 6 lines in 2024
17%82%<1%
2.63
Paul Brotzman
14W–41L career · 5 lines in 2024
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.