Teams

Lone Servivors

2022 Mixed 18 and Over League · 8.0

13 players · average NTRP 3.81 / EAST HAWAII

View scouting list →
Schedule6 played
2022-05-01vs WTF?! (what the forehand)Lost 03
L#1 DoublesAdamhung Nguyen / Lori Kamimura vs Liane Martin / Ryan Liu4-6, 5-7
L#2 DoublesLance Sewake / Tomomi Furuhata vs Mark Chun / Marissa Hayashi1-2
L#3 DoublesDuane Sleightholm / Marianne Takamiya vs Tomoyuki Furuhata / Reiko Hamano0-1
2022-05-01vs WTF?! (what the forehand)Lost 12
L#1 DoublesPeter Follett / Reiko Bando vs Christopher Agpoon / Michelle Oishi4-6, 1-6
L#2 DoublesLori Nekoba / Kareem Khozaim vs Nikki Ideta / Kuakini Baltero6-4, 4-6, 0-1
W#3 DoublesLance Sewake / Tomomi Furuhata vs Grant Yamamoto / Liane Martin6-3, 3-6, 1-0
2022-04-21vs WTF?! (what the forehand)Lost 12
L#1 DoublesKareem Khozaim / Lori Nekoba vs Christopher Agpoon / Nikki Ideta4-6, 3-6
L#2 DoublesDuane Sleightholm / Marianne Takamiya vs Marissa Hayashi / Haddon Wong Yuen4-6, 6-1, 0-1
W#3 DoublesTAKAMASA BANDO / Hanna Wilson vs Michelle Oishi / Kuakini Baltero6-3, 6-4
2022-04-21vs WTF?! (what the forehand)Lost 03
L#1 DoublesTAKAMASA BANDO / Hanna Wilson vs Kari Wicklund / Mark Chun1-6, 7-6, 0-1
L#2 DoublesAdamhung Nguyen / Reiko Bando vs Tomoyuki Furuhata / Reiko Hamano0-2
L#3 DoublesPeter Follett / Lori Kamimura vs Nicholas Tran / Sheri Kinoshita2-6, 4-6
2022-03-27vs WTF?! (what the forehand)Lost 12
L#1 DoublesDuane Sleightholm / Hanna Wilson vs Grant Yamamoto / Liane Martin6-4, 2-6, 0-1
L#2 DoublesPeter Follett / Lori Nekoba vs Kari Wicklund / Haddon Wong Yuen6-4, 1-6, 0-1
W#3 DoublesKareem Khozaim / Lori Kamimura vs Nicholas Tran / Michelle Oishi6-3, 6-2
2022-03-26vs WTF?! (what the forehand)Lost 12
L#1 DoublesTAKAMASA BANDO / Marianne Takamiya vs Nikki Ideta / Ryan Liu3-6, 6-4, 0-1
L#2 DoublesReiko Bando / Adamhung Nguyen vs Tomoyuki Furuhata / Reiko Hamano1-6, 4-6
W#3 DoublesLance Sewake / Tomomi Furuhata vs Kuakini Baltero / Sheri Kinoshita6-4, 6-3
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 standings2 teams · 8.0
TeamWLInd. WInd. LSets lostGames lost
1WTF?! (what the forehand)6014414131
2Lone Servivors0641429190

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 3.52 estimated across 9 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.

3.79
Sheri Kinoshita
usually #3 Doubles 100% · published 4
3.77
Tomomi Furuhata
usually #3 Doubles 67%, also #2 Doubles 33% · published 4
Adamhung Nguyen
usually #1 Doubles 40%, also #2 Doubles 40% · published 4
3.70
Kareem Khozaim
usually #3 Doubles 33%, also #1 Doubles 33% · published 4
3.65
Duane Sleightholm
usually #2 Doubles 33%, also #1 Doubles 33% · published 3.5
3.60
Lori Nekoba
usually #2 Doubles 67%, also #1 Doubles 33% · published 4
3.39
Marianne Takamiya
usually #1 Doubles 33%, also #2 Doubles 33% · published 3.5
3.29
Lori Kamimura
usually #3 Doubles 80%, also #1 Doubles 20% · published
3.26
Hanna Wilson
usually #1 Doubles 71%, also #3 Doubles 14% · published 3.5
3.20
Lance Sewake
usually #1 Doubles 40%, also #3 Doubles 40% · published
Peter Follett
usually #2 Doubles 33%, also #3 Doubles 33% · published
Reiko Bando
usually #2 Doubles 60%, also #3 Doubles 20% · published
TAKAMASA BANDO
usually #1 Doubles 67%, also #3 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.

Kareem Khozaim + Lori Nekoba1739% gamesnot enough data
Marianne Takamiya + TAKAMASA BANDO044 matchesnot enough data
Hanna Wilson + TAKAMASA BANDO134 matchesnot enough data
Lori Kamimura + Duane Sleightholm213 matchesnot enough data
Tomomi Furuhata + Lance Sewake213 matchesnot enough data
Reiko Bando + Peter Follett123 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
Sheri Kinoshita
179W–143L career · 4 lines in 2022
1%94%5%
3.79
4
Tomomi Furuhata
26W–32L career · 3 lines in 2022
2%94%4%
3.77
4
Adamhung Nguyen
13W–34L career · 5 lines in 2022
not enough data
4
Kareem Khozaim
32W–47L career · 3 lines in 2022
6%93%1%
3.70
3.5
Duane Sleightholm
27W–20L career · type S · 3 lines in 2022
<1%13%87%
3.65
4
Lori Nekoba
83W–96L career · 3 lines in 2022
23%77%<1%
3.60
3.5
Marianne Takamiya
87W–99L career · 3 lines in 2022
<1%80%20%
3.39
Lori Kamimura
30W–26L career · 5 lines in 2022
94%6%<1%
3.29
3.5
Hanna Wilson
83W–106L career · 7 lines in 2022
2%94%3%
3.26
Lance Sewake
34W–24L career · 5 lines in 2022
6%93%1%
3.20
Peter Follett
26W–16L career · 3 lines in 2022
not enough data
Reiko Bando
25W–13L career · 5 lines in 2022
not enough data
TAKAMASA BANDO
20W–14L career · 3 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.