Teams

Penn Pals

2022 Ekolu 18 and Over League · 7.0

15 players · average NTRP 3.69 / OAHU

View scouting list →
Schedule8 played
2022-10-01vs Disaster INC 7.0Lost 12
L#1 Female DoublesJacqueline Jung / Chanel Hebaru vs Hanha Youn / Kellie Ko6-4, 3-6, 0-1
L#1 Male DoublesMarc Cayetano / Jason Furuta vs Yousuke Kawai / Chase Kutara3-6, 4-6
W#1 Mixed DoublesEmily Louis / Michael Okai vs Trisha Inafuku / Herbert Lato4-6, 6-2, 1-0
2022-09-24vs Go For ItWon 30
W#1 Female DoublesMichelle Ho / Holly Sung vs Jenny Wendel / Denise Nakamura6-2, 6-1
W#1 Male DoublesMarc Cayetano / Jason Furuta vs Kyle Wright / Raynor Moux3-6, 6-1, 1-0
W#1 Mixed DoublesMichael Okai / Noelle Chun vs William Edmunds / Susan Edmunds6-3, 6-2
2022-09-11vs Ekolu Tennis LobstersSplit 11
W#1 Female DoublesEmily Louis / Kathrynn Hamada vs Deborah Bonker / Kathleen Rubio6-2, 6-1
L#1 Mixed DoublesMichelle Ho / Michael Ho vs Vilma Marcelo / Abel Siu Ho3-6, 3-6
2022-09-10Won 10
W#1 Female DoublesChanel Hebaru / Jacqueline Jung vs Dana West / Alexis Steele6-0, 6-4
2022-09-03vs Lob CityWon 30
W#1 Female DoublesJUDY Guo / Kathrynn Hamada vs Taryn Phan / Kal Peterman7-6, 6-3
W#1 Male DoublesMarc Cayetano / Michael Ho vs Micah Hu / Michael Nguyen7-6, 7-6
W#1 Mixed DoublesNicolas Hamamoto / Noelle Chun vs Erin D'Amelio / Jeremy Piamonte6-3, 6-1
2022-08-27vs Guys and GalsWon 20
W#1 Female DoublesChanel Hebaru / Holly Sung vs Leimomi Haitsuka / Rosalynne Kakogawa-Wong6-3, 6-4
W#1 Mixed DoublesMichael Okai / Noelle Chun vs Edwin Beleno / Laina Takafuji6-0, 6-1
2022-08-20vs Lito & His ModelosSplit 11
W#1 Female DoublesEmily Louis / JUDY Guo vs Karen Yamaguchi / Ruby May Fernandez7-5, 6-1
L#1 Mixed DoublesChanel Hebaru / Jason Furuta vs Jacy Allen / Anna Womack6-7, 3-6
2022-08-13vs KRC Ekolu 7.0Split 11
W#1 Female DoublesMichelle Ho / Jacqueline Jung vs Dionne Kahale-Sirp / Rachel Motta6-4, 6-3
L#1 Mixed DoublesChristopher Hong / Holly Sung vs Linda Landau / Mark Landau3-6, 6-4, 0-1
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 7.0 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 3.43 estimated across 12 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.

4.17
Marc Cayetano
usually #1 Male Doubles 83%, also #1 Mixed Doubles 17% · published 4.5
3.85
Christopher Hong
published 4
3.75
Chanel Hebaru
usually #1 Female Doubles 89%, also #1 Mixed Doubles 11% · published 4
3.57
Michelle Ho
usually #1 Female Doubles 67%, also #1 Mixed Doubles 33% · published
3.56
Michael Okai
published
3.48
JUDY Guo
published 3.5
3.42
Noelle Chun
usually #1 Mixed Doubles 80%, also #1 Female Doubles 20% · published 3.5
3.37
Emily Louis
usually #1 Female Doubles 67%, also #1 Mixed Doubles 33% · published 3.5
3.35
Jacqueline Jung
usually #1 Female Doubles 75%, also #1 Mixed Doubles 25% · published 3.5
3.21
Michael Ho
published
2.78
Jason Furuta
published
2.69
Holly Sung
usually #1 Mixed Doubles 50%, also #1 Female Doubles 50% · published 3
Allan Neri
published
Kathrynn Hamada
usually #1 Female Doubles 100% · published
Nicolas Hamamoto
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.

JUDY Guo + Noelle Chun5259% games+8.6% vs expected
Nicolas Hamamoto + Michael Okai13169% games+7.0% vs expected
Emily Louis + JUDY Guo4250% games+4.2% vs expected
Emily Louis + Noelle Chun6356% games−2.2% vs expected
Jacqueline Jung + Marc Cayetano5171% gamesnot enough data
Michelle Ho + Noelle Chun5074% gamesnot enough data
Emily Louis + Marc Cayetano314 matchesnot enough data
Holly Sung + Jacqueline Jung123 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.

4.5
Marc Cayetano
96W–59L career · 6 lines in 2022
10%90%1%
4.17
4
Christopher Hong
45W–25L career · no lines in 2022
<1%88%12%
3.85
4
Chanel Hebaru
67W–50L career · 9 lines in 2022
2%95%3%
3.75
Michelle Ho
29W–21L career · 3 lines in 2022
29%71%<1%
3.57
Michael Okai
83W–10L career · no lines in 2022
<1%33%67%
3.56
3.5
JUDY Guo
47W–21L career · no lines in 2022
<1%56%44%
3.48
3.5
Noelle Chun
72W–34L career · 5 lines in 2022
<1%74%26%
3.42
3.5
Emily Louis
81W–23L career · 3 lines in 2022
<1%83%17%
3.37
3.5
Jacqueline Jung
137W–41L career · 8 lines in 2022
<1%87%12%
3.35
Michael Ho
73W–62L career · no lines in 2022
6%93%1%
3.21
Jason Furuta
75W–45L career · no lines in 2022
2%94%5%
2.78
3
Holly Sung
124W–77L career · 6 lines in 2022
7%92%1%
2.69
Allan Neri
15W–20L career · no lines in 2022
not enough data
Kathrynn Hamada
24W–7L career · 2 lines in 2022
not enough data
Nicolas Hamamoto
43W–5L career · no lines in 2022
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.