Teams

Whack-It Rangers

2022 Ekolu League · 9.0

13 players · average NTRP 4.19 / EAST HAWAII

View scouting list →
Schedule6 played
2022-10-29Won 10
W#1 Female DoublesEugenia Salvo / Sheri Kinoshita vs Liane Martin / Mari Horike6-0, 7-5
2022-10-25Won 20
W#1 Female DoublesNikki Ideta / Marissa Hayashi vs Stephanie Tadaki / Liane Martin6-4, 6-2
W#1 Mixed DoublesKari Wicklund / Sean Newton vs Grant Yamamoto / Lori Nekoba6-3, 6-2
2022-10-15Won 20
W#1 Female DoublesMarissa Hayashi / Sheri Kinoshita vs Frances Calantoc / Stephanie Tadaki6-2, 7-6
W#1 Mixed DoublesNikki Ideta / Jamie Yamamoto vs Dean Takebayashi / Mari Horike6-2, 2-6, 1-0
2022-10-09Won 20
W#1 Female DoublesKari Wicklund / Nikki Ideta vs Lori Nekoba / Frances Calantoc6-3, 6-0
W#1 Mixed DoublesEugenia Salvo / Nicholas Tran vs Dean Takebayashi / Liane Martin6-2, 6-3
2022-09-25Won 10
W#1 Female DoublesMarissa Hayashi / Kari Wicklund vs Frances Calantoc / Lori Nekoba6-1, 6-3
2022-09-17Split 11
L#1 Female DoublesNikki Ideta / Shannon Bayliss vs Liane Martin / Frances Calantoc6-4, 4-6, 0-1
W#1 Mixed DoublesMarissa Hayashi / Sean Newton vs Michelle Oishi / Grant Yamamoto6-2, 6-0
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 · 9.0
TeamWLInd. WInd. LSets lostGames lost
1Whack-It Rangers601715103
2Desperados0611735211

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 3.95 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.

4.45
Eugenia Salvo
usually #1 Mixed Doubles 50%, also #1 Female Doubles 50% · published 4.5
Jamie Yamamoto
published 4.5
4.15
Shannon Bayliss
published
4.03
Kari Wicklund
usually #1 Female Doubles 60%, also #1 Mixed Doubles 40% · published 4
3.94
Marissa Hayashi
usually #1 Female Doubles 67%, also #1 Mixed Doubles 33% · published 4
3.84
Ryan Liu
published
3.79
Sheri Kinoshita
usually #1 Female Doubles 67%, also #1 Mixed Doubles 33% · published 4
3.77
Nikki Ideta
usually #1 Female Doubles 71%, also #1 Mixed Doubles 29% · published 4
3.65
Glenn Takase
published 4
Kuakini Baltero
published
Nicholas Tran
published
Sean Newton
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.

Sheri Kinoshita + Marissa Hayashi13955% games+1.7% vs expected
Marissa Hayashi + Nikki Ideta5351% games−1.4% vs expected
Sheri Kinoshita + Nikki Ideta224 matchesnot enough data
Sheri Kinoshita + Kari Wicklund303 matchesnot enough data
Marissa Hayashi + Kari Wicklund123 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
Eugenia Salvo
43W–23L career · 2 lines in 2022
<1%65%35%
4.45
4.5
Christopher Brilhante
25W–13L career · no lines in 2022
not enough data
4.5
Jamie Yamamoto
8W–5L career · type M · no lines in 2022
not enough data
Shannon Bayliss
2W–2L career · no lines in 2022
13%87%<1%
4.15
4
Kari Wicklund
43W–13L career · 5 lines in 2022
<1%40%60%
4.03
4
Marissa Hayashi
110W–54L career · 6 lines in 2022
<1%68%32%
3.94
Ryan Liu
20W–14L career · no lines in 2022
<1%89%11%
3.84
4
Sheri Kinoshita
179W–143L career · 6 lines in 2022
1%94%5%
3.79
4
Nikki Ideta
41W–30L career · type S · 7 lines in 2022
2%94%4%
3.77
4
Glenn Takase
40W–30L career · type S · no lines in 2022
13%87%<1%
3.65
Kuakini Baltero
23W–9L career · no lines in 2022
not enough data
Nicholas Tran
7W–1L career · no lines in 2022
not enough data
Sean Newton
10W–2L 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.