Teams

Kakaako Bay Racquet Club

2022 Adult 55 and Over League · 7.0 Men

8 players · average NTRP 3.38 / OAHU

View scouting list →
Schedule8 played
2022-05-22vs MDPLost 03
L#1 DoublesJeffrey Okamoto / Andre Moux vs Jesse Tano / Buddy Vidal1-6, 3-6
L#2 DoublesJackson Wang / Paul Grable vs Reed Okamura / Harry Abasial2-6, 1-6
L#3 DoublesStanford Wong / Lawrence Masuno vs Wilfred Sekiya / Cy Yamamoto2-6, 6-3, 0-1
2022-05-15vs Match Point 55+Won 21
W#1 DoublesNeal Thompson / Lawrence Masuno vs Douglas Choy / Mark Komatsu6-2, 2-6, 1-0
L#2 DoublesJackson Wang / Leighton Oshiro vs Bernie Duarte / Vincent Akamine4-6, 3-6
W#3 DoublesStanford Wong / Jeffrey Okamoto vs Ralph Bautista / Jeffrey Wong6-4, 6-0
2022-05-08vs Slamming AgersWon 30
W#1 DoublesNeal Thompson / Lawrence Masuno vs Virgilio Alarcio / Christopher Floro6-1, 6-2
W#2 DoublesJeffrey Okamoto / Jackson Wang vs Milton Kwock / Bob Vega7-6, 6-0
W#3 DoublesDaryl Ching / Leighton Oshiro vs N/A6-0, 6-0
2022-05-01vs LatecomersWon 30
W#1 DoublesJackson Wang / William Graffigna vs Milton Kishaba / Daryl Fukunaga7-5, 6-4
W#2 DoublesAndre Moux / Neal Thompson vs Gene Higa / Andrew Chun3-6, 6-3, 1-0
W#3 DoublesStanford Wong / Daryl Ching vs Dean Kozai / Richard Vermeesch5-7, 6-0, 1-0
2022-04-24vs Bruceki’sLost 12
W#1 DoublesWilliam Graffigna / Lawrence Masuno vs David Betham / Daniel Schmidt6-1, 6-4
L#2 DoublesJeffrey Okamoto / Stanford Wong vs Michael Heafner / Jordan Joanou3-6, 6-7
L#3 DoublesDaryl Ching / Leighton Oshiro vs Bruce Palenske / Joseph Shorin1-6, 6-7
2022-04-03vs Makule Hawai 55+ 7.0 3-0Lost 12
W#1 DoublesWilliam Graffigna / Neal Thompson vs Petronilo Fuentes / Charles Kishimoto5-7, 6-2, 1-0
L#2 DoublesAndre Moux / Jeffrey Okamoto vs Clifford Chan / Ruben Oania2-6, 2-6
L#3 DoublesJackson Wang / Leighton Oshiro vs Jason Yoshimi / Ponciano Villanos1-6, 4-6
2022-03-27vs Penn Men 55Split 11
W#2 DoublesLawrence Masuno / Andre Moux vs Scott Higashino / Richard Nakamura6-4, 1-6, 1-0
L#3 DoublesDaryl Ching / Stanford Wong vs Kyle Wright / Dean Yamamoto2-6, 3-6
2022-03-20vs H1 and H2 MergeLost 03
L#1 DoublesNeal Thompson / Lawrence Masuno vs Emmanuel Utrera / Julian Julian1-6, 4-6
L#2 DoublesStanford Wong / Daryl Ching vs Thomas Garcia / Emmanuel Legaspi5-7, 2-6
L#3 DoublesJeffrey Okamoto / Leighton Oshiro vs Curtis Au / Kebi Dellatan1-6, 3-6
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 standings7 teams · 7.0 Men
TeamWLInd. WInd. LSets lostGames lost
1H1 and H2 Merge802139143
2Penn Men 557118615165
3Makule Hawai 55+ 7.0 3-044121226201
4Kakaako Bay Racquet Club35111331227
5Latecomers2691532249
6Slamming Agers1751940273
7Match Point 55+1742041273

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 3.16 estimated across 5 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.

3.56
Daryl Ching
usually #3 Doubles 75%, also #2 Doubles 25% · published 3.5
3.29
Jackson Wang
usually #2 Doubles 60%, also #3 Doubles 20% · published 3.5
Andre Moux
usually #2 Doubles 75%, also #1 Doubles 25% · published 3.5
3.10
William Graffigna
usually #1 Doubles 67%, also #3 Doubles 17% · published
2.93
Jeffrey Okamoto
usually #2 Doubles 50%, also #3 Doubles 33% · published
2.93
Leighton Oshiro
usually #3 Doubles 80%, also #2 Doubles 20% · published 3
Lawrence Masuno
usually #1 Doubles 67%, also #3 Doubles 17% · published
Stanford Wong
usually #3 Doubles 67%, also #2 Doubles 33% · 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.

Jackson Wang + Daryl Ching6159% games+3.3% vs expected
Jackson Wang + Leighton Oshiro1445% gamesnot enough data
Daryl Ching + Leighton Oshiro2345% gamesnot enough data
Stanford Wong + Daryl Ching224 matchesnot enough data
Stanford Wong + Leighton Oshiro033 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.

3.5
Daryl Ching
40W–35L career · 4 lines in 2022
<1%31%69%
3.56
3.5
Jackson Wang
69W–92L career · 5 lines in 2022
1%93%5%
3.29
3.5
Andre Moux
11W–14L career · 4 lines in 2022
not enough data
William Graffigna
53W–56L career · 6 lines in 2022
22%78%<1%
3.10
Jeffrey Okamoto
18W–56L career · 6 lines in 2022
70%30%<1%
2.93
3
Leighton Oshiro
30W–61L career · 5 lines in 2022
<1%71%29%
2.93
Lawrence Masuno
13W–18L career · 6 lines in 2022
not enough data
Stanford Wong
5W–8L career · 6 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.