Teams

Mike 7.0-2

2026 Mixed 18 and Over League · 7.0

14 players · average NTRP 3.50 / MAUI

View scouting list →
Schedule7 played
2026-04-11vs MCC Mixed MadnessSplit 11
L#1 DoublesKawika Kiili / Pamela Dolin vs Curt DeCrinis / Allison Kermode6-4, 3-6, 1-0
W#2 DoublesBruce Coelho / Barbara Grandon vs Elizabeth Lofaro / Peter Leander2-6, 3-2
2026-04-04vs Mike 7.0-1Lost 12
L#1 DoublesJonathan Lau / Pamela Dolin vs Bryson Alviedo / Shara Wolfe2-6, 4-6
W#2 DoublesBruce Coelho / Barbara Grandon vs Eugene Uclaray / Lore Lee Robello6-1, 7-5
L#3 DoublesSteve Ulene / Gail Matsui vs David Raatz / Clarita Balala2-6, 1-6
2026-03-22vs Mike 7.0-3Won 30
W#1 DoublesBruce Coelho / Mina Chaikin vs Robert Hanson / Aleth Sabugo3-6, 6-2, 1-0
W#2 DoublesSteve Ulene / Barbara Grandon vs Aaron Gabuat / Jan Bryan6-4, 6-7, 1-0
W#3 DoublesJonathan Lau / Mikayla Lau vs Reuben Dela Cruz / Patricia Keau6-0, 6-3
2026-03-15vs Mike 7.0-5Won 21
L#1 DoublesJeff Bettendorf / Gail Matsui vs Nicholas Clemons / Mina Welch3-6, 6-1, 0-1
W#2 DoublesKawika Kiili / Pamela Dolin vs Dave Wagner / Christina Haywood6-1, 6-2
W#3 DoublesJonathan Lau / Mikayla Lau vs Ryan Brittle / Tricia Kezeli6-0, 6-1
2026-03-08vs Mike 7.0-4Won 20
W#1 DoublesKawika Kiili / Pamela Dolin vs Don Booth / Heidi Thorson6-1, 6-4
W#2 DoublesKevin Kato / Barbara Grandon vs Christian Alonzo / Kari Griffiths6-0, 6-2
2026-03-07vs Serves You Right (MCC)Lost 03
L#1 DoublesBruce Coelho / Mina Chaikin vs Jonathan Yudis / Anne Swift6-2, 5-7, 0-1
L#2 DoublesKawika Kiili / Mikayla Lau vs Jack Grumet / Tesha Newman6-7, 4-6
L#3 DoublesSteve Ulene / Darlene Haslam vs Tom Keirnes / Erin Haywood0-6, 0-6
2026-03-01vs It Takes TwoLost 03
L#1 DoublesKawika Kiili / Pamela Dolin vs Marcus Richter / Tamara Farwig4-6, 5-7
L#2 DoublesKevin Kato / Barbara Grandon vs Aumnart Akamai Lapus / Shannon Sayles6-7, 2-6
L#3 DoublesJeff Bettendorf / Mina Chaikin vs Nathan McFarland / Jill Kanahele2-6, 5-7
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 standings for 7.0 have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

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 3.21 estimated across 13 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.

3.67
Mikayla Lau
usually #3 Doubles 67%, also #2 Doubles 33% · published
3.57
Pamela Dolin
usually #1 Doubles 46%, also #2 Doubles 36% · published 4
3.38
Darlene Haslam
usually #3 Doubles 100% · published 3.5
3.31
Jeff Bettendorf
usually #3 Doubles 50%, also #1 Doubles 50% · published
3.28
Bruce Coelho
usually #1 Doubles 50%, also #2 Doubles 50% · published 3.5
3.21
Alexandra Falk
published 3.5
3.17
Mina Chaikin
usually #1 Doubles 67%, also #3 Doubles 33% · published
3.08
Barbara Grandon
usually #2 Doubles 100% · published 3.5
3.08
Kevin Kato
usually #2 Doubles 100% · published 3.5
3.05
Kawika Kiili
usually #2 Doubles 56%, also #1 Doubles 33% · published 3
3.04
Steve Ulene
usually #3 Doubles 67%, also #2 Doubles 33% · published 3.5
2.99
Gail Matsui
usually #1 Doubles 50%, also #3 Doubles 50% · published 3.5
2.88
Jonathan Lau
usually #1 Doubles 33%, also #2 Doubles 33% · published
Michael Kinoshita
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.

Pamela Dolin + Kawika Kiili3356% games−1.1% vs expected
Jonathan Lau + Mikayla Lau2353% games−7.2% vs expected
Jonathan Lau + Pamela Dolin1637% games−7.5% vs expected
Barbara Grandon + Kevin Kato224 matchesnot enough data
Barbara Grandon + Bruce Coelho224 matchesnot enough data
Kevin Kato + Gail Matsui213 matchesnot enough data
Pamela Dolin + Steve Ulene123 matchesnot enough data
Pamela Dolin + Bruce Coelho123 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.

Mikayla Lau
7W–15L career · 3 lines in 2026
10%90%1%
3.67
4
Pamela Dolin
65W–88L career · 11 lines in 2026
29%71%<1%
3.57
3.5
Darlene Haslam
5W–4L career · 1 line in 2026
<1%81%18%
3.38
Jeff Bettendorf
77W–71L career · 2 lines in 2026
1%92%7%
3.31
3.5
Bruce Coelho
96W–145L career · 4 lines in 2026
2%94%4%
3.28
3.5
Alexandra Falk
2W–6L career · type D · no lines in 2026
5%93%1%
3.21
Mina Chaikin
33W–33L career · 3 lines in 2026
10%90%1%
3.17
3.5
Barbara Grandon
64W–98L career · 5 lines in 2026
27%73%<1%
3.08
3.5
Kevin Kato
55W–72L career · 2 lines in 2026
27%73%<1%
3.08
3
Kawika Kiili
32W–37L career · 9 lines in 2026
<1%36%64%
3.05
3.5
Steve Ulene
69W–58L career · 3 lines in 2026
38%62%<1%
3.04
3.5
Gail Matsui
35W–62L career · 2 lines in 2026
52%48%<1%
2.99
Jonathan Lau
59W–133L career · 6 lines in 2026
82%18%<1%
2.88
Michael Kinoshita
30W–63L career · no lines in 2026
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.