Teams

Mike's 8.0 Team

2025 Mixed 40 and Over League · 8.0

15 players · average NTRP 3.91 / MAUI

View scouting list →
Schedule6 played
2025-08-24vs Double TroubleWon 21
L#1 DoublesPetra Dupont / Jamal Duhamel vs Brooke von Tempsky / Brad Helman4-6, 2-6
W#2 DoublesJill Kanahele / Kelly Tobita vs Aiko da Silva / Benjamin Falit4-6, 7-6, 1-0
W#3 DoublesPamela Dolin / Peter Mueller vs Yuki Carrozzino / Micah Nickens3-6, 1-1
2025-08-12vs Double TroubleLost 12
W#1 DoublesJill Kanahele / Ricky Tobita vs Jennifer Goldyn / Brad Helman6-2, 6-4
L#2 DoublesMona Decrinis / Jamal Duhamel vs Henry Kofron / Aiko da Silva3-6, 4-6
L#3 DoublesPetra Dupont / David Marcus vs Melissa Nickens / Jordan Kolton4-6, 5-7
2025-08-09vs Nuts N HoneysLost 12
L#1 DoublesDeanna DiBiase / Kelly Tobita vs Justin Locke / Eveline Wunder4-6, 3-6
W#2 DoublesRicky Tobita / Pamela Dolin vs Kandy Grantz / Phillip Peterson6-3, 6-4
L#3 DoublesPeter Mueller / Jill Kanahele vs Gage Beerer / Chris Hassen5-7, 6-7
2025-08-02vs Nuts N HoneysWon 21
W#1 DoublesMona Decrinis / Jamal Duhamel vs Lori Tanaka / Harold Fernandez6-3, 2-6, 1-0
L#2 DoublesDeanna DiBiase / Jeff Bettendorf vs Eveline Wunder / Justin Locke3-6, 4-6
W#3 DoublesShara Wolfe / Lee Wolfe vs Gage Beerer / Jerry Delacruz3-6, 6-3, 1-0
2025-07-20vs Double TroubleLost 12
W#1 DoublesJill Kanahele / Kelly Tobita vs Aiko da Silva / Henry Kofron6-4, 4-6, 1-0
L#2 DoublesRicky Tobita / Catherine Hall vs Micah Nickens / Brooke von Tempsky4-6, 1-6
L#3 DoublesDavid Marcus / Petra Dupont vs Maisie Knowles / Kevin Hillman6-7, 4-6
2025-07-19vs Nuts N HoneysLost 03
L#1 DoublesShara Wolfe / Lee Wolfe vs Nalani Cagasan / Phillip Peterson2-6, 3-6
L#2 DoublesPamela Dolin / Peter Mueller vs Eveline Wunder / Justin Locke0-6, 4-6
L#3 DoublesMona Decrinis / David Marcus vs Gage Beerer / Harold Fernandez4-6, 3-6
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
TeamWLInd. WInd. LSets lostGames lost
1Nuts N Honeys249918161
2Mike's 8.0 Team2471127196

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 14 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.

4.04
Petra Dupont
usually #3 Doubles 67%, also #1 Doubles 33% · published 4
3.90
Deanna DiBiase
usually #1 Doubles 67%, also #2 Doubles 33% · published 4
3.89
Jill Kanahele
usually #1 Doubles 67%, also #2 Doubles 22% · published 4
3.79
Lee Wolfe
usually #3 Doubles 60%, also #2 Doubles 20% · published 4
3.76
Ricky Tobita
usually #2 Doubles 67%, also #1 Doubles 33% · published 4
3.73
Mona Decrinis
usually #3 Doubles 33%, also #1 Doubles 33% · published 4
3.72
Jamal Duhamel
usually #1 Doubles 67%, also #2 Doubles 33% · published 4
3.72
Peter Mueller
usually #3 Doubles 67%, also #2 Doubles 33% · published
3.67
Kelly Tobita
usually #1 Doubles 67%, also #2 Doubles 33% · published
3.60
Catherine Hall
usually #2 Doubles 40%, also #1 Doubles 40% · published 4
3.57
Pamela Dolin
usually #2 Doubles 50%, also #1 Doubles 38% · published 4
3.44
Shara Wolfe
usually #3 Doubles 67%, also #1 Doubles 33% · published 3.5
3.31
Jeff Bettendorf
usually #2 Doubles 100% · published
3.23
David Marcus
usually #3 Doubles 83%, also #2 Doubles 17% · published 3.5
Michael Kinoshita
usually #3 Doubles 100% · 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.

Ricky Tobita + Pamela Dolin6159% games+12.3% vs expected
Lee Wolfe + Shara Wolfe13855% games+7.0% vs expected
Michael Kinoshita + Jill Kanahele4647% games−2.8% vs expected
Kelly Tobita + Jill Kanahele2342% games−7.7% vs expected
Mona Decrinis + David Marcus2348% gamesnot enough data
Peter Mueller + Pamela Dolin1437% gamesnot enough data
Catherine Hall + Jeff Bettendorf2347% gamesnot enough data
Pamela Dolin + David Marcus224 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
Petra Dupont
103W–66L career · 3 lines in 2025
<1%38%62%
4.04
4
Deanna DiBiase
144W–107L career · 3 lines in 2025
<1%78%22%
3.90
4
Jill Kanahele
252W–166L career · 9 lines in 2025
<1%80%20%
3.89
4
Lee Wolfe
83W–35L career · 5 lines in 2025
1%93%5%
3.79
4
Ricky Tobita
73W–90L career · 3 lines in 2025
2%94%3%
3.76
4
Mona Decrinis
103W–125L career · 3 lines in 2025
4%94%2%
3.73
4
Jamal Duhamel
12W–9L career · 3 lines in 2025
4%94%2%
3.72
Peter Mueller
41W–47L career · 3 lines in 2025
4%94%2%
3.72
Kelly Tobita
62W–76L career · 3 lines in 2025
9%90%1%
3.67
4
Catherine Hall
144W–172L career · 5 lines in 2025
21%79%<1%
3.60
4
Pamela Dolin
65W–88L career · 8 lines in 2025
29%71%<1%
3.57
3.5
Shara Wolfe
128W–45L career · 6 lines in 2025
<1%69%31%
3.44
Jeff Bettendorf
77W–71L career · 1 line in 2025
1%92%7%
3.31
3.5
David Marcus
78W–46L career · 6 lines in 2025
4%94%2%
3.23
Michael Kinoshita
30W–63L career · 1 line in 2025
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.