Teams

Golden Retrievers

2022 Adult 65 and Over League · 8.0 Men

10 players · average NTRP 3.80 / EAST HAWAII

View scouting list →
Schedule6 played
2022-09-10vs No Can See, No Can RunWon 30
W#1 DoublesEdward Allen / Jim Kooler vs Ted Hong / Michael Marshall6-1, 6-1
W#2 DoublesThomas Randle / Dean Takebayashi vs Lorin Carmichael / Danny Li6-1, 6-7, 1-0
W#3 DoublesStephen Santos / Grant Yamamoto vs Robert Aguirre / Warren Sako6-2, 6-1
2022-09-03vs No Can See, No Can RunWon 30
W#1 DoublesJeffery Kam / Thomas Randle vs Lawrence Heintz / Michael Okumoto6-1, 6-1
W#2 DoublesPeter Follett / Grant Yamamoto vs Lorin Carmichael / Danny Li6-3, 6-4
W#3 DoublesEdward Allen / Jim Kooler vs Warren Sako / Glenn Tada6-1, 7-5
2022-08-27vs No Can See, No Can RunWon 20
W#2 DoublesStephen Santos / Thomas Randle vs Ted Hong / Glenn Sumida6-1, 6-2
W#3 DoublesEdward Allen / Bob Borns vs Michael Marshall / Danny Li6-4, 4-6, 1-0
2022-08-20vs No Can See, No Can RunWon 30
W#1 DoublesEdward Allen / Jim Kooler vs Lawrence Heintz / Lorin Carmichael6-3, 7-5
W#2 DoublesStephen Santos / Bob Borns vs Robert Aguirre / Glenn Tada6-0, 6-1
W#3 DoublesJeffery Kam / Peter Follett vs Michael Marshall / Michael Okumoto6-1, 6-0
2022-08-13vs No Can See, No Can RunSplit 11
W#1 DoublesRichard Cunningham / Bob Borns vs Ted Hong / Glenn Sumida6-1, 6-0
L#3 DoublesDean Takebayashi / Jeffery Kam vs Michael Marshall / Glenn Tada3-6, 4-6
2022-08-06vs No Can See, No Can RunWon 30
W#1 DoublesRichard Cunningham / Peter Follett vs Lawrence Heintz / Glenn Sumida7-6
W#2 DoublesStephen Santos / Bob Borns vs Ted Hong / Michael Marshall6-4, 6-0
W#3 DoublesThomas Randle / Jeffery Kam vs Robert Aguirre / Warren Sako6-0, 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 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 3.67 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.

4.00
Jim Kooler
usually #1 Doubles 67%, also #3 Doubles 33% · published 4
3.85
Bob Borns
usually #2 Doubles 50%, also #1 Doubles 25% · published 4
3.62
Jeffery Kam
usually #3 Doubles 75%, also #1 Doubles 25% · published 3.5
3.56
Grant Yamamoto
usually #3 Doubles 33%, also #1 Doubles 33% · published 4
3.32
Dean Takebayashi
usually #3 Doubles 33%, also #2 Doubles 33% · published 3.5
Edward Allen
usually #1 Doubles 50%, also #3 Doubles 50% · published
Peter Follett
usually #3 Doubles 33%, also #1 Doubles 33% · published
Richard Cunningham
usually #1 Doubles 100% · published
Stephen Santos
usually #2 Doubles 75%, also #3 Doubles 25% · published
Thomas Randle
usually #2 Doubles 50%, also #3 Doubles 25% · 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.

Grant Yamamoto + Peter Follett5165% gamesnot enough data
Jim Kooler + Bob Borns4176% gamesnot enough data
Jeffery Kam + Grant Yamamoto404 matchesnot enough data
Jim Kooler + Peter Follett213 matchesnot enough data
Jim Kooler + Edward Allen303 matchesnot enough data
Dean Takebayashi + Jeffery Kam213 matchesnot enough data
Peter Follett + Bob Borns303 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
Jim Kooler
58W–34L career · 3 lines in 2022
<1%51%49%
4.00
4
Bob Borns
55W–14L career · 4 lines in 2022
<1%87%13%
3.85
3.5
Jeffery Kam
148W–117L career · type A · 4 lines in 2022
<1%18%82%
3.62
4
Grant Yamamoto
41W–20L career · 3 lines in 2022
32%67%<1%
3.56
3.5
Dean Takebayashi
127W–143L career · 6 lines in 2022
1%91%8%
3.32
Edward Allen
21W–11L career · 4 lines in 2022
not enough data
Peter Follett
26W–16L career · 3 lines in 2022
not enough data
Richard Cunningham
2W–0L career · 2 lines in 2022
not enough data
Stephen Santos
8W–0L career · 4 lines in 2022
not enough data
Thomas Randle
13W–1L career · 4 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.