Teams

Mike 6.0-2

2026 Mixed 40 and Over League · 6.0

12 players · average NTRP 2.94 / MAUI

View scouting list →
Schedule6 played
2026-08-09vs Mike 6.0-1Split 11
W#1 DoublesJonathan Lau / Heidi Thorson vs Milton Matsuoka / Tricia Kezeli6-3, 3-6, 1-0
L#2 DoublesMonty Tester / Allison Kermode vs Christopher Horiuchi / Pearl Rockett1-6, 0-6
2026-08-08vs Mike 6.0-1Won 20
W#1 DoublesKawika Kiili / Allison Kermode vs Christopher Horiuchi / Joanne Quintos6-2, 6-3
W#2 DoublesJonathan Lau / Heidi Thorson vs Gerald Kalua / Corinne Tanabe6-4, 7-5
2026-08-01vs Mike 6.0-1Lost 12
W#1 DoublesKawika Kiili / Heidi Thorson vs Christopher Horiuchi / Pearl Rockett6-2, 6-1
L#2 DoublesVicente Andaya / Lenora Dinneen vs Gerald Kalua / Joanne Quintos0-6, 4-6
L#3 DoublesArnold Wunder / Leila Leong vs Milton Matsuoka / Corinne Tanabe2-6, 2-6
2026-07-26vs Mike 6.0-1Won 21
W#1 DoublesKawika Kiili / Allison Kermode vs John Umeno / Pearl Rockett6-3, 6-7, 1-0
W#2 DoublesJonathan Lau / Shirl Schumacher vs Milton Matsuoka / Tricia Kezeli4-6, 6-4, 1-0
L#3 DoublesMonty Tester / Lenora Dinneen vs Carl Bertelmann / Jane Sakakihara6-4, 1-6, 0-1
2026-07-25vs Mike 6.0-1Split 11
W#1 DoublesKawika Kiili / Allison Kermode vs Gerald Kalua / Pearl Rockett6-3, 6-0
L#2 DoublesArnold Wunder / Leila Leong vs Carl Bertelmann / Jane Sakakihara3-6, 4-6
2026-07-12vs Mike 6.0-1Lost 03
L#1 DoublesVicente Andaya / Shirl Schumacher vs Christopher Horiuchi / Pearl Rockett2-6, 2-6
L#2 DoublesJonathan Lau / Allison Kermode vs John Umeno / Corinne Tanabe4-6, 6-4, 0-1
L#3 DoublesMonty Tester / Colleen McKenna vs Milton Matsuoka / Jane Sakakihara2-6, 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 standings2 teams · 6.0
TeamWLInd. WInd. LSets lostGames lost
1Mike 6.0-14210818139
2Mike 6.0-22471125180

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 2.75 estimated across 10 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.

3.05
Kawika Kiili
usually #1 Doubles 83%, also #3 Doubles 17% · published 3
2.88
Jonathan Lau
usually #2 Doubles 75%, also #1 Doubles 25% · published
2.87
Monty Tester
usually #3 Doubles 67%, also #2 Doubles 33% · published 3
2.86
Vicente Andaya
usually #1 Doubles 50%, also #2 Doubles 50% · published 3
2.77
Lenora Dinneen
usually #3 Doubles 50%, also #2 Doubles 50% · published 3
2.77
Heidi Thorson
usually #1 Doubles 67%, also #2 Doubles 33% · published 3
2.69
Allison Kermode
usually #1 Doubles 60%, also #2 Doubles 40% · published 3
2.66
Shirl Schumacher
usually #1 Doubles 50%, also #2 Doubles 50% · published 3
2.50
Colleen McKenna
usually #3 Doubles 100% · published 3
2.49
Arnold Wunder
usually #2 Doubles 50%, also #3 Doubles 50% · published 2.5
Leila Leong
usually #3 Doubles 50%, also #2 Doubles 50% · 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.

Jonathan Lau + Shirl Schumacher4246% gamesnot enough data
Shirl Schumacher + Vicente Andaya134 matchesnot enough data
Arnold Wunder + Lenora Dinneen134 matchesnot enough data
Monty Tester + Lenora Dinneen123 matchesnot enough data
Allison Kermode + Kawika Kiili303 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.

3
Kawika Kiili
32W–37L career · 6 lines in 2026
<1%36%64%
3.05
Jonathan Lau
59W–133L career · 4 lines in 2026
82%18%<1%
2.88
3
Monty Tester
84W–87L career · 3 lines in 2026
<1%84%16%
2.87
3
Vicente Andaya
49W–56L career · 2 lines in 2026
<1%86%13%
2.86
3
Lenora Dinneen
10W–28L career · 2 lines in 2026
2%94%4%
2.77
3
Heidi Thorson
26W–37L career · 3 lines in 2026
2%94%4%
2.77
3
Allison Kermode
29W–50L career · 5 lines in 2026
7%92%1%
2.69
3
Shirl Schumacher
36W–60L career · 2 lines in 2026
11%88%<1%
2.66
3
Colleen McKenna
6W–14L career · 1 line in 2026
50%50%<1%
2.50
2.5
Arnold Wunder
20W–52L career · type M · 2 lines in 2026
0%52%48%
2.49
Leila Leong
0W–11L career · 2 lines in 2026
not enough data
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.