Teams

Triple Threat

2022 Ekolu League · 9.0

12 players · average NTRP 4.00 / MAUI

View scouting list →
Schedule5 played
2022-10-22vs Maui MisfitsWon 10
W#1 Mixed DoublesCynthia Feike / Brayden Corniel vs Melissa Nickens / Rick Kepler6-7, 7-6, 1-0
2022-10-16vs Maui MisfitsLost 01
L#1 Female DoublesCynthia Feike / Ligaya Acob-Powell vs Rachel Christopher / Hana Yoshikawa1-6, 1-6
2022-09-24vs Maui MisfitsLost 01
L#1 Female DoublesSarah Schmidt / Jill Kanahele vs Malorie Murakami / Hana Yoshikawa0-6, 2-6
2022-09-17vs Maui MisfitsLost 01
L#1 Female DoublesNani Ehlinger / Jill Kanahele vs Rachel Christopher / Tricia Wilstead0-6, 3-6
2022-09-11vs Maui MisfitsLost 01
L#1 Female DoublesJill Kanahele / Mikayla Lau vs Malorie Murakami / Hana Yoshikawa1-6, 0-6
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 standings for 9.0 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 3.81 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.

4.14
Charlie Crandall
published 4
3.90
Deanna DiBiase
published 4
3.89
Jill Kanahele
usually #1 Female Doubles 86%, also #1 Mixed Doubles 14% · published 4
3.85
Cynthia Feike
usually #1 Female Doubles 75%, also #1 Mixed Doubles 25% · published 4
3.71
Solomon Palad
published
3.69
Phillip Peterson
published
3.67
Mikayla Lau
published
3.65
Nani Ehlinger
published
Brayden Corniel
published
Justin Locke
published
Ligaya Acob-Powell
usually #1 Female Doubles 100% · published
Sarah Schmidt
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.

Jill Kanahele + Deanna DiBiase231259% games+8.0% vs expected
Deanna DiBiase + Nani Ehlinger6061% games+7.1% vs expected
Jill Kanahele + Nani Ehlinger224 matchesnot enough data
Cynthia Feike + Ligaya Acob-Powell213 matchesnot enough data
Sarah Schmidt + Deanna DiBiase303 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
Charlie Crandall
52W–47L career · no lines in 2022
<1%14%86%
4.14
4
Deanna DiBiase
144W–107L career · no lines in 2022
<1%78%22%
3.90
4
Jill Kanahele
252W–166L career · 7 lines in 2022
<1%80%20%
3.89
4
Cynthia Feike
88W–61L career · 4 lines in 2022
<1%87%12%
3.85
Solomon Palad
25W–20L career · no lines in 2022
6%93%1%
3.71
Phillip Peterson
43W–32L career · no lines in 2022
7%92%1%
3.69
Mikayla Lau
7W–15L career · no lines in 2022
10%90%1%
3.67
Nani Ehlinger
32W–22L career · no lines in 2022
13%87%<1%
3.65
Brayden Corniel
16W–10L career · no lines in 2022
not enough data
Justin Locke
57W–39L career · no lines in 2022
not enough data
Ligaya Acob-Powell
58W–33L career · 1 line in 2022
not enough data
Sarah Schmidt
67W–28L 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.