Teams

Happy Feet

2023 Adult 18 and Over League · 4.0 Women

13 players · average NTRP 3.94 / MAUI

View scouting list →
Schedule6 played
2023-07-22vs Best Team NameWon 31
W#1 DoublesAndy Torres / Rowena Nikki Baysa vs Deanna DiBiase / Emily Collins6-4, 6-7, 1-0
W#1 SinglesJennifer Granum vs Jill Kanahele6-1, 7-5
W#2 DoublesMarisa Fujimoto / Lori Tanaka vs Cynthia Funai / Fa'Aiuga Ratterman6-2, 6-2
L#3 DoublesSusan Gianlorenzo / Jeanne Dunn vs Nani Ehlinger / Joyce Colleen3-6, 7-5, 0-1
2023-07-08vs Mike's 4.0W #2Won 21
W#1 DoublesAndy Torres / Jennifer Granum vs Mindy Armour / Kelly Thayer6-3, 6-4
W#1 SinglesAmy Reisenauer vs Liezl Lao6-3, 6-0
L#2 DoublesJeanne Dunn / Susan Gianlorenzo vs Susan Armstrong / Catherine Hall6-2, 1-6, 1-0
2023-07-02vs Mike's 4.0W #1Lost 12
L#1 DoublesAndy Torres / Jennifer Granum vs Josephine Moyes / Pamela Dolin1-6, 6-7
W#1 SinglesNalani Cagasan vs Lore Lee Robello6-2, 6-1
L#2 DoublesLori Tanaka / Susan Gianlorenzo vs Diane Chaves / Clarita Balala2-6, 6-4, 0-1
2023-06-18vs Best Team NameLost 14
L#1 DoublesGage Beerer / Kandy Grantz vs Rita Ingstad / Janet King5-7, 2-6
W#1 SinglesAmy Reisenauer vs Nani Ehlinger6-3, 6-0
L#2 DoublesSusan Gianlorenzo / Jeanne Dunn vs Deanna DiBiase / Cynthia Funai1-6, 2-6
L#2 SinglesNalani Cagasan vs Channing Peebles3-6, 4-6
L#3 DoublesMarisa Fujimoto / Rowena Nikki Baysa vs SuLan Peebles / Jill Kanahele4-6, 6-4, 0-1
2023-06-10vs Mike's 4.0W #2Won 21
W#1 DoublesJuliana Massenburg / Jeanne Dunn vs Catherine Hall / Leslie Wilshusen6-3, 6-2
L#1 SinglesBettina Haerer vs Bryn Starbuck3-6, 6-7
W#2 DoublesGage Beerer / Kandy Grantz vs Barbara Grandon / Gaela Prince6-3, 7-5
2023-06-04vs Mike's 4.0W #1Won 32
L#1 DoublesMarisa Fujimoto / Lori Tanaka vs Aiko da Silva / Josephine Moyes0-6, 2-6
L#1 SinglesNalani Cagasan vs Lindsay Worrell3-6, 6-7
W#2 DoublesKandy Grantz / Gage Beerer vs Diane Chaves / Pamela Dolin1-6, 6-3, 1-0
W#2 SinglesAmy Reisenauer vs Crystal Graves7-5, 6-4
W#3 DoublesJuliana Massenburg / Rowena Nikki Baysa vs Lauren Hogan / Lore Lee Robello6-2, 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 standings for 4.0 Women 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 3.61 estimated across 8 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.

3.84
Nalani Cagasan
usually #1 Singles 67%, also #2 Singles 33% · published 4
Amy Reisenauer
usually #1 Singles 67%, also #2 Singles 33% · published 4
Andy Torres
usually #1 Doubles 100% · published 4
Bettina Haerer
usually #1 Singles 100% · published 4
3.66
Gage Beerer
usually #2 Doubles 67%, also #1 Doubles 33% · published 4
3.63
Rowena Nikki Baysa
usually #3 Doubles 40%, also #2 Singles 20% · published
3.60
Juliana Massenburg
usually #3 Doubles 50%, also #1 Doubles 50% · published
3.60
Jeanne Dunn
usually #2 Doubles 50%, also #3 Doubles 25% · published
3.58
Kandy Grantz
usually #2 Doubles 67%, also #1 Doubles 33% · published 4
3.56
Marisa Fujimoto
usually #1 Doubles 33%, also #3 Doubles 33% · published 4
3.40
Lori Tanaka
usually #2 Doubles 67%, also #1 Doubles 33% · published 3.5
Jennifer Granum
usually #1 Doubles 67%, also #1 Singles 33% · published
Susan Gianlorenzo
usually #2 Doubles 75%, also #3 Doubles 25% · 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.

Kandy Grantz + Juliana Massenburg5256% games+10.4% vs expected
Nalani Cagasan + Marisa Fujimoto9555% games+5.3% vs expected
Nalani Cagasan + Lori Tanaka3647% games+4.5% vs expected
Jeanne Dunn + Juliana Massenburg1640% games+0.8% vs expected
Andy Torres + Jennifer Granum6554% games−1.8% vs expected
Lori Tanaka + Marisa Fujimoto131651% games−2.7% vs expected
Rowena Nikki Baysa + Gage Beerer3546% games−3.2% vs expected
Kandy Grantz + Gage Beerer7552% games−3.6% 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
Nalani Cagasan
87W–65L career · 3 lines in 2023
1%87%13%
3.84
4
Amy Reisenauer
25W–19L career · 3 lines in 2023
not enough data
4
Andy Torres
10W–10L career · 3 lines in 2023
not enough data
4
Bettina Haerer
13W–17L career · 1 line in 2023
not enough data
4
Gage Beerer
83W–101L career · 3 lines in 2023
12%87%1%
3.66
Rowena Nikki Baysa
87W–47L career · 5 lines in 2023
18%81%<1%
3.63
Juliana Massenburg
36W–34L career · 2 lines in 2023
23%76%<1%
3.60
Jeanne Dunn
46W–76L career · 4 lines in 2023
24%75%<1%
3.60
4
Kandy Grantz
76W–64L career · 3 lines in 2023
29%71%<1%
3.58
4
Marisa Fujimoto
119W–93L career · 3 lines in 2023
33%67%<1%
3.56
3.5
Lori Tanaka
87W–110L career · 3 lines in 2023
<1%76%24%
3.40
Jennifer Granum
10W–8L career · 3 lines in 2023
not enough data
Susan Gianlorenzo
6W–20L career · 4 lines in 2023
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.