Teams

Disaster INC 7.0

2022 Ekolu 18 and Over League · 7.0

17 players · average NTRP 3.50 / OAHU

View scouting list →
Schedule7 played
2022-10-01vs Penn PalsLost 01
L#1 Mixed DoublesTrisha Inafuku / Herbert Lato vs Emily Louis / Michael Okai6-4, 2-6, 0-1
2022-09-24vs Balls and DollsWon 30
W#1 Female DoublesKathy Kaneshige / Kira Tobita vs N/A6-0, 6-0
W#1 Male DoublesJason Bona / Kristopher Li vs Rollin Steele / Zacha-Rya Luning6-2, 6-2
W#1 Mixed DoublesTiffany Akiyama / JD Tsukayama vs Jessica Nishikawa / Scott Nishikawa6-0, 6-1
2022-09-17vs Lob CityWon 20
W#1 Female DoublesPATRICIA CABUS / Shari Choy vs Erin D'Amelio / Yena Kim6-4, 7-5
W#1 Mixed DoublesKristopher Li / Kellie Ko vs Christopher Chan / Taryn Phan6-2, 6-3
2022-09-10vs Guys and GalsWon 30
W#1 Female DoublesPATRICIA CABUS / Kathy Kaneshige vs Rosalynne Kakogawa-Wong / Ronda Sagara6-0, 6-3
W#1 Male DoublesYousuke Kawai / Jason Bona vs Paul Kinney / Bruce Palenske6-3, 6-0
W#1 Mixed DoublesTrisha Inafuku / Justin Mcouat vs Tammy Yamauchi / Ralph Bautista6-1, 6-2
2022-08-27vs KRC Ekolu 7.0Won 10
W#1 Female DoublesTiffany Akiyama / Carol Hasegawa vs Rachel Motta / Dionne Kahale-Sirp6-1, 6-4
2022-08-20vs Let’s get some exerciseWon 20
W#1 Female DoublesCarol Hasegawa / Kira Tobita vs Helen Ramos / Keiko Morales6-0, 6-4
W#1 Male DoublesChase Kutara / Kristopher Li vs Ryan York / Steven Adachi6-1, 6-2
2022-08-13Won 20
W#1 Female DoublesTrisha Inafuku / Shari Choy vs N/A6-0, 6-0
W#1 Male DoublesChase Kutara / Kristopher Li vs Ernest Chu / Henry Ma6-0, 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 standings13 teams · 7.0
TeamWLInd. WInd. LSets lostGames lost
1Disaster INC 7.080231395
2Team 96797 7.08020410136
3Serv eM up62141025203
4Let’s get some exercise5212918174
5VTF44141026225
6Tennis Hall of Framers 7.044111329207
7KRC Ekolu 7.044101429217
8Ganbatte Cobra Kai 3-0 7.044111331242
9Balls and Dolls3591531218
10RIBEYE & SUSHI2691533235
11Lito & His Modelos2681633227
12Shank That1761837251
13Ekolu Tennis Lobsters0741736231

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 3.24 estimated across 13 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.

3.89
Hanha Youn
published 4.5
3.79
Jason Bona
usually #1 Male Doubles 100% · published 4
3.50
Herbert Lato
published 3.5
3.46
JD Tsukayama
published 3.5
3.46
Tiffany Akiyama
usually #1 Female Doubles 56%, also #1 Mixed Doubles 44% · published 3.5
3.34
Yousuke Kawai
published
3.25
Trisha Inafuku
usually #1 Mixed Doubles 71%, also #1 Female Doubles 29% · published 3.5
3.24
Kristopher Li
usually #1 Male Doubles 75%, also #1 Mixed Doubles 25% · published 3.5
3.17
Garrett Tanouye
published 3.5
3.15
Justin Mcouat
published
2.82
Carol Hasegawa
usually #1 Female Doubles 100% · published 3
2.77
Shari Choy
usually #1 Female Doubles 100% · published 3
2.32
Kathy Kaneshige
usually #1 Female Doubles 100% · published 3
Chase Kutara
published
Kellie Ko
published
Kira Tobita
published
PATRICIA CABUS
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.

Garrett Tanouye + Herbert Lato6650% games−4.2% vs expected
Shari Choy + Trisha Inafuku2441% gamesnot enough data
Garrett Tanouye + Tiffany Akiyama4158% gamesnot enough data
Herbert Lato + JD Tsukayama314 matchesnot enough data
Carol Hasegawa + Kathy Kaneshige213 matchesnot enough data
Carol Hasegawa + Tiffany Akiyama303 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.

4.5
Hanha Youn
54W–24L career · no lines in 2022
80%20%<1%
3.89
4
Jason Bona
43W–27L career · 3 lines in 2022
1%93%6%
3.79
3.5
Herbert Lato
77W–22L career · no lines in 2022
<1%49%51%
3.50
3.5
JD Tsukayama
37W–14L career · no lines in 2022
<1%61%39%
3.46
3.5
Tiffany Akiyama
174W–45L career · 9 lines in 2022
<1%63%37%
3.46
Yousuke Kawai
14W–8L career · no lines in 2022
<1%88%11%
3.34
3.5
Trisha Inafuku
148W–45L career · 7 lines in 2022
3%95%3%
3.25
3.5
Kristopher Li
120W–28L career · type S · 4 lines in 2022
3%94%2%
3.24
3.5
Garrett Tanouye
32W–23L career · no lines in 2022
9%90%1%
3.17
Justin Mcouat
51W–30L career · no lines in 2022
13%87%<1%
3.15
3
Carol Hasegawa
126W–45L career · 2 lines in 2022
1%91%8%
2.82
3
Shari Choy
97W–64L career · 2 lines in 2022
2%94%4%
2.77
3
Kathy Kaneshige
87W–43L career · 2 lines in 2022
91%9%<1%
2.32
Chase Kutara
33W–6L career · no lines in 2022
not enough data
Kellie Ko
32W–6L career · no lines in 2022
not enough data
Kira Tobita
10W–4L career · no lines in 2022
not enough data
PATRICIA CABUS
21W–9L career · no lines in 2022
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.