Teams

Slice Boys and Spice Girls

2021 Mixed 18 and Over League · 7.0

11 players · average NTRP 3.56 / OAHU

View scouting list →
Schedule8 played
2021-04-30vs Disaster Inc. 7.0Lost 03
L#1 DoublesSteven Adachi / Frances Harr vs Shari Choy / Michael Okai2-6, 0-6
L#2 DoublesKelsey Matsu / Steven Bailey vs Sujin Lee / Kristopher Li1-6, 2-6
L#3 DoublesMichael Denny / Doris Miocinovic vs Trisha Inafuku / Justin Mcouat3-6, 1-6
2021-04-18vs TJFF 3-0Split 11
W#1 DoublesSteven Adachi / Stephanie Tsuzaki vs Alan Mark Alegre / Kimberly Palermo6-2, 5-7, 1-0
L#3 DoublesSteven Bailey / Kelsey Matsu vs Jeremy Grad / Gerri Takayama4-6, 4-6
2021-04-17vs Disaster Inc. 7.0Lost 03
L#1 DoublesShoko Burkett / Michael Denny vs Chase Kutara / Kellie Ko0-6, 1-6
L#2 DoublesSteven Adachi / Lori Loo vs Sujin Lee / Kristopher Li6-4, 3-6, 0-1
L#3 DoublesSteven Bailey / Kelsey Matsu vs Tyler Makabe / Tiffany Akiyama1-6, 2-6
2021-04-03vs TJFF 3-0Won 30
W#1 DoublesSteven Bailey / Kelsey Matsu vs Fidel Cabanilla / Kanae Abe6-2, 2-6, 1-0
W#2 DoublesSteven Adachi / Lori Loo vs Russell Choy / Joanne Sakamaki6-2, 5-3
W#3 DoublesCaden Bailey / Frances Harr vs Alan Mark Alegre / Shiori Tang7-5, 7-5
2021-03-14vs Disaster Inc. 7.0Lost 03
L#1 DoublesDonald Geil / Kelsey Matsu vs Herbert Lato / Dayna Luka6-7, 5-7
L#2 DoublesMichael Denny / Shoko Burkett vs Chase Kutara / Kellie Ko0-6, 2-6
L#3 DoublesFrances Harr / Steven Adachi vs Kristopher Li / Sujin Lee3-6, 2-6
2021-03-07vs TJFF 3-0Won 30
W#1 DoublesShoko Burkett / Michael Denny vs Alan Mark Alegre / Shiori Tang2-6, 7-6, 1-0
W#2 DoublesFrances Harr / Caden Bailey vs Wayne Tang / Kanae Abe6-3, 5-7, 1-0
W#3 DoublesKelsey Matsu / Steven Bailey vs Milton Kishaba / Joanne Sakamaki6-2, 6-2
2021-02-21vs Disaster Inc. 7.0Lost 03
L#1 DoublesSteven Adachi / Stephanie Tsuzaki vs Sujin Lee / Kristopher Li4-6, 2-6
L#2 DoublesDonald Geil / Kelsey Matsu vs Chase Kutara / Kellie Ko3-6, 2-6
L#3 DoublesMichael Denny / Doris Miocinovic vs Dayna Luka / Herbert Lato3-6, 4-6
2021-02-14vs TJFF 3-0Won 21
L#1 DoublesSteven Bailey / Frances Harr vs Alan Mark Alegre / Amy Zhang5-7, 5-7
W#2 DoublesMichael Denny / Shoko Burkett vs Wayne Tang / Shiori Tang6-4, 4-6, 1-0
W#3 DoublesSteven Adachi / Stephanie Tsuzaki vs Jeremy Grad / Kanae Abe6-2, 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 standings3 teams · 7.0
TeamWLInd. WInd. LSets lostGames lost
1Disaster Inc. 7.0802404135
2Slice Boys and Spice Girls3591535254
3TJFF 3-01732142268

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 3.28 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.

3.64
Kelsey Matsu
usually #3 Doubles 43%, also #2 Doubles 29% · published 4
3.35
Lori Loo
usually #2 Doubles 100% · published 3.5
3.29
Donald Geil
usually #2 Doubles 50%, also #1 Doubles 50% · published 3.5
Frances Harr
published 3.5
3.23
Steven Adachi
usually #1 Doubles 43%, also #3 Doubles 29% · published 3.5
3.22
Stephanie Tsuzaki
usually #1 Doubles 67%, also #3 Doubles 33% · published 3.5
3.22
Shoko Burkett
usually #2 Doubles 50%, also #1 Doubles 50% · published 3.5
3.16
Mary Ann Esteban
published 3.5
3.15
Steven Bailey
usually #3 Doubles 50%, also #1 Doubles 33% · published
Caden Bailey
usually #3 Doubles 50%, also #2 Doubles 50% · published
Michael Denny
usually #2 Doubles 33%, also #1 Doubles 33% · 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.

Mary Ann Esteban + Donald Geil11265% games+26.4% vs expected
Mary Ann Esteban + Steven Adachi7069% games+21.3% vs expected
Lori Loo + Steven Adachi19565% games+12.7% vs expected
Kelsey Matsu + Donald Geil7463% gamesnot enough data
Steven Bailey + Kelsey Matsu5353% gamesnot enough data
Michael Denny + Shoko Burkett224 matchesnot enough data
Lori Loo + Donald Geil213 matchesnot enough data
Stephanie Tsuzaki + Steven Adachi213 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
Kelsey Matsu
78W–60L career · 7 lines in 2021
14%86%<1%
3.64
3.5
Lori Loo
185W–75L career · 2 lines in 2021
<1%87%12%
3.35
3.5
Donald Geil
84W–47L career · 2 lines in 2021
1%94%5%
3.29
3.5
Frances Harr
37W–42L career · no lines in 2021
not enough data
3.5
Steven Adachi
177W–92L career · 7 lines in 2021
4%94%2%
3.23
3.5
Stephanie Tsuzaki
75W–43L career · 3 lines in 2021
4%94%2%
3.22
3.5
Shoko Burkett
93W–85L career · 4 lines in 2021
5%94%2%
3.22
3.5
Mary Ann Esteban
88W–35L career · no lines in 2021
10%89%<1%
3.16
Steven Bailey
76W–69L career · 6 lines in 2021
12%87%<1%
3.15
Caden Bailey
3W–3L career · 2 lines in 2021
not enough data
Michael Denny
68W–70L career · 6 lines in 2021
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.