Teams

End Game

2022 Mixed 18 and Over League · 9.0

14 players · average NTRP 4.25 / MAUI

View scouting list →
Schedule6 played
2022-05-29Won 20
W#2 DoublesCharlie Crandall / Jill Kanahele vs N/A6-0, 6-0
W#3 DoublesAndrew Yoon / Malorie Murakami vs N/A6-0, 6-0
2022-05-14vs Maui Country ClubLost 12
L#1 DoublesAndrew Yoon / Malorie Murakami vs Jay Samonte / Mino McLean0-6, 3-6
L#2 DoublesCharlie Crandall / Birlinda Akinaka vs Curt DeCrinis / Mona Decrinis5-7, 4-6
W#3 DoublesRachel Karlin / Steven Nguyen vs Richard Scott Lechuga DiSalvo / Sarah Schmidt6-3, 6-3
2022-05-08vs Maui Country ClubWon 21
W#1 DoublesRachel Karlin / Steven Nguyen vs Melissa Nickens / Patrick Hiti3-6, 6-4, 1-0
L#2 DoublesBrayden Corniel / Hana Yoshikawa vs Mino McLean / Paul Williams0-6, 6-1, 0-1
W#3 DoublesRalph Gorgoglione / Malorie Murakami vs Curt DeCrinis / Mona Decrinis6-2, 6-2
2022-04-30vs Maui Country ClubLost 12
L#1 DoublesRalph Gorgoglione / Hana Yoshikawa vs Kimmie S Ouchi / Shaun Thayer6-7, 6-2, 0-1
W#2 DoublesBrayden Corniel / Jill Kanahele vs Patrick Hiti / Mona Decrinis6-2, 7-5
L#3 DoublesManaolana Kaiwi / Rachel Karlin vs Jay Samonte / Melissa Nickens6-7, 0-6
2022-04-23vs Maui Country ClubWon 30
W#1 DoublesBrayden Corniel / Hana Yoshikawa vs Patrick Hiti / Kimmie S Ouchi6-3, 6-2
W#2 DoublesRalph Gorgoglione / Malorie Murakami vs Mino McLean / Shaun Thayer6-4, 7-5
W#3 DoublesManaolana Kaiwi / Birlinda Akinaka vs Mark Reedy / Michele McLean6-1, 6-0
2022-04-10vs Maui Country ClubLost 12
W#1 DoublesBrayden Corniel / Hana Yoshikawa vs Paul Williams / Angie Williams6-7, 7-5, 1-0
L#2 DoublesRalph Gorgoglione / Rachel Karlin vs Richard Scott Lechuga DiSalvo / Sarah Schmidt6-7, 3-6
L#3 DoublesCharlie Crandall / Jill Kanahele vs Mark Reedy / Melissa Nickens4-6, 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 · 9.0
TeamWLInd. WInd. LSets lostGames lost
1End Game238716135

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 4.08 estimated across 7 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.

4.75
Hana Yoshikawa
usually #1 Doubles 75%, also #2 Doubles 25% · published 5
4.14
Charlie Crandall
usually #2 Doubles 67%, also #3 Doubles 33% · published 4
4.09
Rachel Christopher
published 4.5
4.01
Manaolana Kaiwi
usually #3 Doubles 44%, also #1 Doubles 33% · published
3.90
Deanna DiBiase
usually #3 Doubles 56%, also #2 Doubles 22% · published 4
3.89
Jill Kanahele
usually #2 Doubles 50%, also #3 Doubles 33% · published 4
3.79
Andrew Yoon
usually #1 Doubles 60%, also #2 Doubles 20% · published 4
Birlinda Akinaka
usually #3 Doubles 50%, also #2 Doubles 50% · published
Brayden Corniel
usually #1 Doubles 50%, also #2 Doubles 50% · published
Malorie Murakami
usually #1 Doubles 50%, also #2 Doubles 25% · published
Maurice Zane
usually #3 Doubles 75%, also #1 Doubles 25% · published
Rachel Karlin
usually #3 Doubles 44%, also #2 Doubles 33% · published
Ralph Gorgoglione
usually #2 Doubles 50%, also #1 Doubles 25% · published
Steven Nguyen
usually #1 Doubles 60%, also #2 Doubles 20% · 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.

Deanna DiBiase + Andrew Yoon3455% games−1.7% vs expected
Birlinda Akinaka + Charlie Crandall1445% games−4.1% vs expected
Deanna DiBiase + Maurice Zane5255% gamesnot enough data
Deanna DiBiase + Charlie Crandall3354% gamesnot enough data
Jill Kanahele + Maurice Zane134 matchesnot enough data
Rachel Karlin + Andrew Yoon404 matchesnot enough data
Malorie Murakami + Andrew Yoon224 matchesnot enough data
Ralph Gorgoglione + Rachel Christopher224 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.

5
Hana Yoshikawa
26W–4L career · 4 lines in 2022
3%95%3%
4.75
4
Charlie Crandall
52W–47L career · 3 lines in 2022
<1%14%86%
4.14
4.5
Rachel Christopher
69W–45L career · no lines in 2022
24%75%<1%
4.09
Manaolana Kaiwi
27W–8L career · 9 lines in 2022
<1%46%54%
4.01
4
Deanna DiBiase
144W–107L career · 9 lines in 2022
<1%78%22%
3.90
4
Jill Kanahele
252W–166L career · 6 lines in 2022
<1%80%20%
3.89
4
Andrew Yoon
56W–22L career · 5 lines in 2022
1%93%5%
3.79
Birlinda Akinaka
21W–15L career · 2 lines in 2022
not enough data
Brayden Corniel
16W–10L career · 4 lines in 2022
not enough data
Malorie Murakami
101W–58L career · 8 lines in 2022
not enough data
Maurice Zane
36W–44L career · 4 lines in 2022
not enough data
Rachel Karlin
53W–21L career · 9 lines in 2022
not enough data
Ralph Gorgoglione
33W–10L career · 4 lines in 2022
not enough data
Steven Nguyen
26W–8L career · 5 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.