Teams

Mike's 6.0 #1

2024 Mixed 55 and Over League · 6.0

14 players · average NTRP 3.06 / MAUI

View scouting list →
Schedule6 played
2024-12-22vs Mike's 6.0 #2Won 30
W#1 DoublesThomas Liu / Barbara Horsman vs Milton Matsuoka / Leila Leong6-4, 6-3
W#2 DoublesMonty Tester / Corinne Tanabe vs Brian Lehmann / Kathy Matsuoka6-2, 6-1
W#3 DoublesVicente Andaya / Pearl Rockett vs Arnold Wunder / Colleen McKenna6-0, 6-3
2024-12-08vs Mike's 6.0 #2Won 30
W#1 DoublesGerald Kalua / Rosemary Bachaus vs Michael Singlehurst / Monika Jost6-0, 6-1
W#2 DoublesMonty Tester / Lisa Paulson vs Milton Matsuoka / Lisa Oyama6-1, 6-1
W#3 DoublesSteve Ulene / Pearl Rockett vs Michael Kinoshita / Naomi Matsuura6-1, 6-1
2024-12-07vs Mike's 6.0 #2Won 21
W#1 DoublesSteve Ulene / Barbara Horsman vs Arnold Wunder / Monika Jost6-1, 6-4
L#2 DoublesThomas Liu / Tricia Kezeli vs Alton Watanabe / Naomi Matsuura4-6, 3-6
W#3 DoublesGerald Kalua / Pearl Rockett vs Brian Lehmann / Hema Subbaratnam6-0, 6-1
2024-12-01vs Mike's 6.0 #2Won 30
W#1 DoublesVicente Andaya / Rosemary Bachaus vs Alton Watanabe / Lisa Oyama6-3, 6-3
W#2 DoublesJonathan Lau / Corinne Tanabe vs Milton Matsuoka / Leila Leong6-2, 6-1
W#3 DoublesMonty Tester / Jane Sakakihara vs Michael Singlehurst / Colleen McKenna6-4, 6-1
2024-11-24vs Mike's 6.0 #2Won 30
W#1 DoublesJonathan Lau / Rosemary Bachaus vs Michael Singlehurst / Kathy Matsuoka6-1, 6-1
W#2 DoublesSteve Ulene / Lisa Paulson vs Milton Matsuoka / Hema Subbaratnam6-2, 6-2
W#3 DoublesMonty Tester / Jane Sakakihara vs Brian Lehmann / Naomi Matsuura6-1, 6-1
2024-11-23vs Mike's 6.0 #2Won 30
W#1 DoublesThomas Liu / Tricia Kezeli vs Milton Matsuoka / Leila Leong6-1, 6-4
W#2 DoublesJonathan Lau / Barbara Horsman vs Michael Singlehurst / Lisa Oyama6-2, 6-2
W#3 DoublesVicente Andaya / Corinne Tanabe vs Brian Lehmann / Monika Jost6-2, 6-1
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's 6.0 #160171270
2Mike's 6.0 #20611734211

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 2.90 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.

3.04
Steve Ulene
usually #2 Doubles 40%, also #3 Doubles 40% · published 3.5
2.98
Pearl Rockett
usually #3 Doubles 100% · published 3
2.93
Tricia Kezeli
usually #1 Doubles 50%, also #2 Doubles 50% · published 3
2.93
Gerald Kalua
usually #3 Doubles 75%, also #1 Doubles 25% · published
2.93
Barbara Horsman
usually #1 Doubles 67%, also #2 Doubles 33% · published 3
2.87
Monty Tester
usually #3 Doubles 50%, also #2 Doubles 50% · published 3
2.87
Jonathan Lau
usually #2 Doubles 67%, also #1 Doubles 33% · published
2.85
Vicente Andaya
usually #3 Doubles 67%, also #1 Doubles 33% · published 3
2.82
Jane Sakakihara
usually #3 Doubles 100% · published 3
2.81
Corinne Tanabe
usually #2 Doubles 67%, also #3 Doubles 33% · published 3
Lisa Paulson
usually #2 Doubles 100% · published
Michael Kinoshita
usually #1 Doubles 50%, also #3 Doubles 50% · published
Rosemary Bachaus
usually #1 Doubles 100% · published
Thomas Liu
usually #1 Doubles 67%, also #2 Doubles 33% · 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.

Jane Sakakihara + Vicente Andaya8459% games+12.6% vs expected
Tricia Kezeli + Thomas Liu4449% games−4.2% vs expected
Jonathan Lau + Rosemary Bachaus8077% gamesnot enough data
Corinne Tanabe + Vicente Andaya5256% gamesnot enough data
Monty Tester + Tricia Kezeli5162% gamesnot enough data
Gerald Kalua + Pearl Rockett3343% gamesnot enough data
Tricia Kezeli + Steve Ulene1450% gamesnot enough data
Steve Ulene + Pearl Rockett4160% gamesnot 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.

3.5
Steve Ulene
69W–58L career · 5 lines in 2024
38%62%<1%
3.04
3
Pearl Rockett
49W–36L career · 3 lines in 2024
<1%55%45%
2.98
3
Tricia Kezeli
68W–97L career · 2 lines in 2024
<1%68%32%
2.93
Gerald Kalua
23W–38L career · 4 lines in 2024
68%32%<1%
2.93
3
Barbara Horsman
40W–21L career · 3 lines in 2024
<1%69%31%
2.93
3
Monty Tester
84W–86L career · 4 lines in 2024
<1%82%18%
2.87
Jonathan Lau
56W–129L career · 3 lines in 2024
83%17%<1%
2.87
3
Vicente Andaya
49W–55L career · 3 lines in 2024
1%85%15%
2.85
3
Jane Sakakihara
122W–185L career · 2 lines in 2024
1%89%10%
2.82
3
Corinne Tanabe
43W–50L career · 3 lines in 2024
1%90%8%
2.81
Lisa Paulson
27W–54L career · 2 lines in 2024
not enough data
Michael Kinoshita
29W–56L career · 2 lines in 2024
not enough data
Rosemary Bachaus
53W–33L career · 3 lines in 2024
not enough data
Thomas Liu
32W–39L career · 3 lines in 2024
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.