Teams

Nuts N Honeys

2026 Mixed 40 and Over League · 8.0

14 players · average NTRP 3.92 / MAUI

View scouting list →
Schedule6 played
2026-08-29vs Tennis AddictsLost 03
L#1 DoublesKandy Grantz / Harold Fernandez vs Shara Wolfe / Nobuo Kitayama6-7, 2-6
L#2 DoublesGage Beerer / Jerry Delacruz vs Aiko da Silva / Benjamin Falit3-6, 5-7
L#3 DoublesJustin Locke / Lori Tanaka vs Ruby Matsui / Lee Wolfe6-4, 2-6, 0-1
2026-08-08vs Tennis AddictsSplit 11
L#1 DoublesAron McEvoy / Gage Beerer vs Aiko da Silva / Matson Kelley2-6, 5-7
W#2 DoublesJustin Locke / shar martin vs Deanna DiBiase / Benjamin Falit5-7, 7-5, 1-0
2026-08-02vs Tennis AddictsLost 03
L#1 DoublesGage Beerer / Phillip Peterson vs Deanna DiBiase / Brad Helman4-6, 1-6
L#2 DoublesNalani Cagasan / Kirk Tanaka vs Ruby Matsui / Matson Kelley5-7, 3-6
L#3 DoublesLori Tanaka / Justin Locke vs Jill Kanahele / Nobuo Kitayama4-6, 6-7
2026-07-25vs Tennis AddictsLost 03
L#1 DoublesGage Beerer / Harold Fernandez vs Deanna DiBiase / Brad Helman4-6, 1-6
L#2 DoublesNalani Cagasan / Jerry Delacruz vs Aiko da Silva / Benjamin Falit5-7, 1-6
L#3 Doublesshar martin / Justin Locke vs Ruby Matsui / Henry Kofron2-6, 3-6
2026-07-12vs Tennis AddictsLost 03
L#1 DoublesPhillip Peterson / Marisa Fujimoto vs Brad Helman / Petra Dupont3-6, 3-6
L#2 DoublesDaniel Medina / Gwen Yoshimoto vs Lee Wolfe / Ruby Matsui2-6, 4-6
L#3 DoublesJerry Delacruz / Lori Tanaka vs Henry Kofron / Aiko da Silva4-6, 1-6
2026-07-11vs Tennis AddictsLost 03
L#1 DoublesLori Tanaka / Kirk Tanaka vs Aiko da Silva / Matson Kelley1-6, 5-7
L#2 DoublesKandy Grantz / Jerry Delacruz vs Jill Kanahele / Lee Wolfe5-7, 6-7
L#3 DoublesMarisa Fujimoto / Harold Fernandez vs Shara Wolfe / Nobuo Kitayama5-7, 4-6
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 standings1 teams · 8.0
TeamWLInd. WInd. LSets lostGames lost
1Nuts N Honeys0401224151

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 3.68 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.

3.97
Harold Fernandez
usually #1 Doubles 67%, also #3 Doubles 33% · published 4
3.88
Gwen Yoshimoto
usually #1 Doubles 43%, also #3 Doubles 29% · published 4
3.85
Kirk Tanaka
usually #1 Doubles 50%, also #2 Doubles 50% · published 4
3.84
Nalani Cagasan
usually #2 Doubles 100% · published 4
3.83
Jerry Delacruz
usually #2 Doubles 75%, also #3 Doubles 25% · published 4
3.69
Phillip Peterson
usually #1 Doubles 100% · published
3.65
Gage Beerer
usually #1 Doubles 75%, also #2 Doubles 25% · published 4
3.65
Daniel Medina
usually #3 Doubles 50%, also #2 Doubles 25% · published 4
3.62
Aron McEvoy
usually #1 Doubles 100% · published 4
3.58
Kandy Grantz
usually #2 Doubles 50%, also #1 Doubles 50% · published 4
3.57
Marisa Fujimoto
usually #3 Doubles 50%, also #1 Doubles 50% · published 4
3.40
shar martin
usually #3 Doubles 50%, also #1 Doubles 25% · published 3.5
3.38
Lori Tanaka
usually #3 Doubles 75%, also #1 Doubles 25% · published 3.5
Justin Locke
usually #3 Doubles 60%, also #2 Doubles 40% · 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.

Harold Fernandez + Lori Tanaka4448% games+3.4% vs expected
Jerry Delacruz + Gage Beerer4356% games+0.5% vs expected
Jerry Delacruz + Marisa Fujimoto14955% games−1.0% vs expected
Nalani Cagasan + Phillip Peterson4351% games−2.0% vs expected
Kirk Tanaka + Nalani Cagasan7549% games−3.2% vs expected
Kirk Tanaka + Lori Tanaka91047% games−3.6% vs expected
Harold Fernandez + Marisa Fujimoto4247% games−3.9% vs expected
Jerry Delacruz + Lori Tanaka4543% games−4.4% vs expected
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
Harold Fernandez
66W–34L career · 3 lines in 2026
<1%59%41%
3.97
4
Gwen Yoshimoto
86W–72L career · 7 lines in 2026
<1%83%17%
3.88
4
Kirk Tanaka
109W–94L career · 2 lines in 2026
<1%86%13%
3.85
4
Nalani Cagasan
87W–65L career · 2 lines in 2026
<1%89%10%
3.84
4
Jerry Delacruz
126W–98L career · 4 lines in 2026
1%90%9%
3.83
Phillip Peterson
43W–32L career · 2 lines in 2026
7%92%1%
3.69
4
Gage Beerer
83W–102L career · 4 lines in 2026
12%88%<1%
3.65
4
Daniel Medina
44W–58L career · 4 lines in 2026
13%87%<1%
3.65
4
Aron McEvoy
1W–2L career · type S · 1 line in 2026
19%81%<1%
3.62
4
Kandy Grantz
76W–65L career · 2 lines in 2026
27%73%<1%
3.58
4
Marisa Fujimoto
119W–93L career · 2 lines in 2026
30%70%<1%
3.57
3.5
shar martin
36W–39L career · 4 lines in 2026
<1%79%21%
3.40
3.5
Lori Tanaka
87W–111L career · 4 lines in 2026
<1%83%17%
3.38
Justin Locke
57W–39L career · 5 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.