Teams

Mike's 8.0

2022 Ekolu League · 8.0

11 players · average NTRP 3.75 / MAUI

View scouting list →
Schedule7 played
2022-10-16vs Nuts N HoneysLost 01
L#1 Mixed DoublesJohn Guthrie / Linda Coleon vs Sae Hyun Song / Bettina Haerer0-6, 1-6
2022-10-15vs MaraudersLost 01
L#1 Mixed DoublesJohn Guthrie / Pamela Dolin vs Manaolana Kaiwi / Kristine Oyama7-6, 0-6, 0-1
2022-10-08vs Nuts N HoneysLost 01
L#1 Female DoublesPamela Dolin / Angie Fernando vs Rowena Nikki Baysa / Nalani Cagasan3-6, 2-6
2022-10-01vs Maui Country ClubLost 01
L#1 Female DoublesSusan Sato / Linda Coleon vs Catherine Hall / Kandy Grantz3-6, 6-1, 0-1
2022-09-25vs 10S4FNLost 01
L#1 Mixed DoublesAlton Watanabe / Pamela Dolin vs Clarita Balala / Kai Matsui4-6, 4-6
2022-09-24vs MaraudersLost 01
L#1 Female DoublesLinda Coleon / Angie Fernando vs Jennifer Goldyn / Melissa Nickens1-6, 2-6
2022-09-11vs Maui Country ClubWon 10
W#1 Female DoublesPamela Dolin / Angie Fernando vs Cynthia Funai / Catherine Hall6-4, 5-7, 1-0
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 standings3 teams · 8.0
TeamWLInd. WInd. LSets lostGames lost
1Marauders701838109
210S4FN26121229234
3Mike's 8.00832144283

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 3.48 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.

3.90
Maylynn Ikioka
published 4
3.69
John Guthrie
published
3.57
Pamela Dolin
usually #1 Mixed Doubles 63%, also #1 Female Doubles 38% · published 4
Alton Watanabe
published 3.5
3.18
Lore Lee Robello
published
3.08
Linda Coleon
usually #1 Female Doubles 67%, also #1 Mixed Doubles 33% · published 3.5
Bobby Kitrick
published
Michael Kinoshita
published
Susan Sato
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.

Alton Watanabe + Michael Kinoshita4842% games−10.2% vs expected
Linda Coleon + Susan Sato3445% gamesnot enough data
Maylynn Ikioka + Lore Lee Robello303 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
Maylynn Ikioka
109W–67L career · no lines in 2022
<1%77%23%
3.90
John Guthrie
39W–66L career · no lines in 2022
8%92%1%
3.69
4
Pamela Dolin
65W–88L career · 8 lines in 2022
29%71%<1%
3.57
3.5
Alton Watanabe
66W–37L career · no lines in 2022
not enough data
Lore Lee Robello
144W–98L career · no lines in 2022
8%91%1%
3.18
3.5
Linda Coleon
66W–143L career · 6 lines in 2022
28%72%<1%
3.08
Bobby Kitrick
0W–1L career · no lines in 2022
not enough data
Lori Sakakihara-Chavarria
31W–3L career · no lines in 2022
not enough data
Michael Kinoshita
30W–63L career · no lines in 2022
not enough data
Robert Arbee Virgino
2W–1L career · no lines in 2022
not enough data
Susan Sato
68W–65L 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.