Teams

55P22

2022 Adult 55 and Over League · 8.0 Men

16 players · average NTRP 3.96 / OAHU

View scouting list →
Schedule6 played
2022-05-01vs No Can RunWon 21
L#1 DoublesCarlo Balmilero / Rei Corpuz vs Aaron Yamato / Kevin Ching1-6, 6-3, 0-1
W#2 DoublesKevin Inn / Arnulf Agbunag vs William Liston / Edwin Bocoboc6-3, 7-6
W#3 DoublesMichael Park / Kyle Wright vs Gerald Davis / Vincent Hiu6-1, 5-7, 1-0
2022-04-24vs BTCWon 21
W#1 DoublesMark Tsuda / Kevin Inn vs David Andrew / William Mulvee6-3, 6-0
L#2 DoublesHerbert Nuuanu / Kirk Horiuchi vs Scott Higashino / Robert Thue2-6, 4-6
W#3 DoublesVictor Mau / Jerry Siu vs Richard Turbin / Ed Zajac6-3, 6-3
2022-04-10vs Clean SweepWon 30
W#1 DoublesKirk Horiuchi / Douglas Smith vs Elton Choy / Michael Choy6-3, 6-3
W#2 DoublesGlenn Yee / Raymond Nishimiya vs Ralph Naito / Milton Kishaba6-1, 7-5
W#3 DoublesHerbert Nuuanu / Corey Au vs Lionel Barona / Charles Dun3-6, 7-6, 1-0
2022-04-03vs MDPWon 30
W#1 DoublesArnulf Agbunag / Kevin Inn vs Alfred Chow / Jesse Tano6-3, 6-3
W#2 DoublesKyle Wright / Michael Park vs Cy Yamamoto / Craig Pang7-5, 7-6
W#3 DoublesCarlo Balmilero / Rei Corpuz vs Kenneth Eguchi / Mark Leonard6-3, 6-1
2022-03-27vs Tennis The MenaceWon 30
W#1 DoublesGlenn Yee / Jerry Siu vs Barry Nakasone / Jeffrey Ung6-1, 6-2
W#2 DoublesVictor Mau / Raymond Nishimiya vs Bert Saito / Bennett Chin6-1, 7-5
W#3 DoublesKevin Inn / Corey Au vs Thomas Lake / William Graffigna6-0, 6-4
2022-03-20vs Team 96797Won 30
W#1 DoublesMichael Park / Kyle Wright vs THANG NGO / Gilbert Fernandes6-1, 6-1
W#2 DoublesDouglas Smith / Arnulf Agbunag vs Kyle Tom / Barry Ng6-4, 4-6, 1-0
W#3 DoublesRei Corpuz / Carlo Balmilero vs Cris Deyro / Curtis Au6-1, 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 standings4 teams · 8.0 Men
TeamWLInd. WInd. LSets lostGames lost
155P22601627122
2No Can Run511539110
3Tennis The Menace2461225178
4MDP2461226176

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 3.76 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.

4.28
Glenn Yee
usually #2 Doubles 57%, also #3 Doubles 29% · published 4.5
Arnulf Agbunag
usually #1 Doubles 71%, also #2 Doubles 29% · published 4.5
4.18
Carlo Balmilero
usually #3 Doubles 40%, also #2 Doubles 40% · published 4.5
3.96
Victor Mau
usually #2 Doubles 40%, also #3 Doubles 40% · published 4
3.95
Michael Park
usually #2 Doubles 63%, also #3 Doubles 25% · published
3.92
Kevin Inn
usually #1 Doubles 50%, also #3 Doubles 25% · published 4
3.88
Kirk Horiuchi
usually #1 Doubles 67%, also #2 Doubles 33% · published 4
Douglas Smith
usually #2 Doubles 50%, also #1 Doubles 50% · published 4
Herbert Nuuanu
usually #3 Doubles 50%, also #2 Doubles 50% · published 4
3.72
Kyle Wright
usually #3 Doubles 44%, also #1 Doubles 33% · published 4
3.48
Corey Au
usually #3 Doubles 100% · published 3.5
3.37
Jerry Siu
usually #1 Doubles 57%, also #2 Doubles 29% · published 3.5
3.35
Paul Lam
published 3.5
3.25
Raymond Nishimiya
usually #2 Doubles 67%, also #1 Doubles 33% · published 3.5
Mark Tsuda
usually #1 Doubles 100% · published
Rei Corpuz
usually #3 Doubles 67%, also #1 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.

Mark Tsuda + Kevin Inn6166% games+15.2% vs expected
Victor Mau + Michael Park6067% games+6.2% vs expected
Michael Park + Glenn Yee7256% games+0.9% vs expected
Victor Mau + Kevin Inn12457% games−2.6% vs expected
Corey Au + Kevin Inn7850% games−10.1% vs expected
Rei Corpuz + Kevin Inn3249% games−11.1% vs expected
Victor Mau + Raymond Nishimiya6166% gamesnot enough data
Jerry Siu + Raymond Nishimiya4257% gamesnot 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
Glenn Yee
53W–39L career · 7 lines in 2022
2%94%5%
4.28
4.5
Arnulf Agbunag
24W–26L career · 7 lines in 2022
not enough data
4.5
Carlo Balmilero
90W–77L career · 5 lines in 2022
9%91%1%
4.18
4
Victor Mau
69W–38L career · 5 lines in 2022
<1%63%37%
3.96
Michael Park
125W–57L career · 8 lines in 2022
<1%65%35%
3.95
4
Kevin Inn
105W–62L career · 4 lines in 2022
<1%72%28%
3.92
4
Kirk Horiuchi
63W–40L career · 3 lines in 2022
<1%83%17%
3.88
4
Douglas Smith
12W–5L career · 2 lines in 2022
not enough data
4
Herbert Nuuanu
21W–11L career · 2 lines in 2022
not enough data
4
Kyle Wright
166W–93L career · 9 lines in 2022
5%94%1%
3.72
3.5
Corey Au
44W–38L career · 2 lines in 2022
<1%56%44%
3.48
3.5
Jerry Siu
63W–34L career · 7 lines in 2022
<1%84%16%
3.37
3.5
Paul Lam
32W–37L career · no lines in 2022
<1%86%13%
3.35
3.5
Raymond Nishimiya
108W–66L career · 6 lines in 2022
3%95%3%
3.25
Mark Tsuda
18W–11L career · 1 line in 2022
not enough data
Rei Corpuz
36W–24L career · 3 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.