Teams

No Can See, No Can Run

2022 Adult 65 and Over League · 8.0 Men

12 players · average NTRP 3.70 / EAST HAWAII

View scouting list →
Schedule6 played
2022-09-10vs Golden RetrieversLost 12
L#1 DoublesTed Hong / Michael Marshall vs Edward Allen / Jim Kooler1-6, 1-6
W#2 DoublesThomas Randle / Dean Takebayashi vs Lorin Carmichael / Danny Li6-1, 6-7, 1-0
L#3 DoublesRobert Aguirre / Warren Sako vs Stephen Santos / Grant Yamamoto2-6, 1-6
2022-09-03vs Golden RetrieversLost 03
L#1 DoublesLawrence Heintz / Michael Okumoto vs Jeffery Kam / Thomas Randle1-6, 1-6
L#2 DoublesLorin Carmichael / Danny Li vs Peter Follett / Grant Yamamoto3-6, 4-6
L#3 DoublesWarren Sako / Glenn Tada vs Edward Allen / Jim Kooler1-6, 5-7
2022-08-27vs Golden RetrieversLost 12
W#1 DoublesDean Takebayashi / Grant Yamamoto vs Lawrence Heintz / Michael Okumoto6-1, 6-2
L#2 DoublesTed Hong / Glenn Sumida vs Stephen Santos / Thomas Randle1-6, 2-6
L#3 DoublesMichael Marshall / Danny Li vs Edward Allen / Bob Borns4-6, 6-4, 0-1
2022-08-20vs Golden RetrieversLost 03
L#1 DoublesLawrence Heintz / Lorin Carmichael vs Edward Allen / Jim Kooler3-6, 5-7
L#2 DoublesRobert Aguirre / Glenn Tada vs Stephen Santos / Bob Borns0-6, 1-6
L#3 DoublesMichael Marshall / Michael Okumoto vs Jeffery Kam / Peter Follett1-6, 0-6
2022-08-13vs Golden RetrieversLost 02
L#1 DoublesTed Hong / Glenn Sumida vs Richard Cunningham / Bob Borns1-6, 0-6
L#3 DoublesDean Takebayashi / Jeffery Kam vs Michael Marshall / Glenn Tada3-6, 4-6
2022-08-06vs Golden RetrieversLost 03
L#1 DoublesLawrence Heintz / Glenn Sumida vs Richard Cunningham / Peter Follett6-7
L#2 DoublesTed Hong / Michael Marshall vs Stephen Santos / Bob Borns4-6, 0-6
L#3 DoublesRobert Aguirre / Warren Sako vs Thomas Randle / Jeffery Kam0-6, 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 standings2 teams · 8.0 Men
TeamWLInd. WInd. LSets lostGames lost
1Golden Retrievers60171477
2No Can See, No Can Run0611734214

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 3.18 estimated across 7 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.

Danny Li
usually #2 Doubles 67%, also #3 Doubles 33% · published 4
3.56
Grant Yamamoto
usually #3 Doubles 33%, also #1 Doubles 33% · published 4
3.39
Glenn Tada
usually #2 Doubles 33%, also #3 Doubles 33% · published 3.5
3.32
Dean Takebayashi
usually #3 Doubles 33%, also #2 Doubles 33% · published 3.5
3.03
Warren Sako
usually #3 Doubles 67%, also #2 Doubles 33% · published 3.5
3.01
Lawrence Heintz
usually #1 Doubles 100% · published
2.99
Ted Hong
usually #1 Doubles 56%, also #2 Doubles 44% · published
2.96
Michael Marshall
usually #1 Doubles 56%, also #3 Doubles 33% · published
Glenn Sumida
usually #1 Doubles 67%, also #2 Doubles 33% · published
Lorin Carmichael
usually #2 Doubles 67%, also #1 Doubles 33% · published
Michael Okumoto
usually #3 Doubles 50%, also #1 Doubles 50% · published
Robert Aguirre
usually #2 Doubles 57%, also #3 Doubles 43% · 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 + Glenn Tada21140% games−6.7% vs expected
Lawrence Heintz + Michael Okumoto1633% gamesnot enough data
Lawrence Heintz + Ted Hong2345% gamesnot enough data
Warren Sako + Ted Hong033 matchesnot enough data
Warren Sako + Glenn Sumida213 matchesnot enough data
Warren Sako + Glenn Tada123 matchesnot enough data
Michael Marshall + Ted Hong123 matchesnot enough data
Glenn Sumida + Glenn Tada123 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
Danny Li
0W–7L career · 3 lines in 2022
not enough data
4
Grant Yamamoto
41W–20L career · 3 lines in 2022
32%67%<1%
3.56
3.5
Glenn Tada
96W–60L career · 6 lines in 2022
<1%79%21%
3.39
3.5
Dean Takebayashi
127W–143L career · 6 lines in 2022
1%91%8%
3.32
3.5
Warren Sako
34W–71L career · 6 lines in 2022
41%59%<1%
3.03
Lawrence Heintz
20W–27L career · 6 lines in 2022
46%54%<1%
3.01
Ted Hong
38W–84L career · 9 lines in 2022
<1%54%46%
2.99
Michael Marshall
53W–97L career · 9 lines in 2022
61%39%<1%
2.96
Glenn Sumida
13W–9L career · 6 lines in 2022
not enough data
Lorin Carmichael
2W–6L career · 3 lines in 2022
not enough data
Michael Okumoto
31W–32L career · 6 lines in 2022
not enough data
Robert Aguirre
2W–25L career · 7 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.