Teams

Kino's Kids

2021 Ekolu League · 6.0

11 players · average NTRP 3.20 / MAUI

View scouting list →
Schedule4 played
2021-10-23vs Net SettersWon 20
W#1 Female DoublesSAI PENG TOMCHAK / Eveline Wunder vs Allison Kermode / Gina Teliho6-2, 6-1
W#1 Mixed DoublesVicente Andaya / Bless Young vs Scott Newman / Tesha Newman6-7, 6-4, 1-0
2021-10-17vs Net SettersLost 01
L#1 Male DoublesVicente Andaya / Donald Chaikin vs Don Booth / Matthew Kerstein2-6, 5-7
2021-09-25vs The Nani RitasLost 02
L#1 Female DoublesSAI PENG TOMCHAK / Eveline Wunder vs Melanie Devereux / Kandy Grantz6-7, 3-6
L#1 Male DoublesVicente Andaya / Donald Chaikin vs John Guarin / Justin Prouty2-6, 2-6
2021-09-11vs Net SettersSplit 11
W#1 Female DoublesVal McKelvey / Eveline Wunder vs Gina Teliho / Suelem Rocha6-2, 4-6, 1-0
L#1 Male DoublesVicente Andaya / Donald Chaikin vs Don Booth / Matthew Kerstein3-6, 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 standings3 teams · 6.0
TeamWLInd. WInd. LSets lostGames lost
1The Nani Ritas601448118
2Net Setters2471123176
3Kino's Kids1561226177

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 3.03 estimated across 4 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.

3.47
Eveline Wunder
usually #1 Female Doubles 100% · published 3.5
Claudine Roediger
published 3.5
2.92
Donald Chaikin
published 3
2.88
Jonathan Lau
published
2.86
Vicente Andaya
usually #1 Male Doubles 75%, also #1 Mixed Doubles 25% · published 3
Bless Young
published 3
Lisa Oyama
published
Michael Kinoshita
published
Richard Doral
published
SAI PENG TOMCHAK
published
Val McKelvey
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.

Jonathan Lau + Donald Chaikin2443% gamesnot enough data
SAI PENG TOMCHAK + Claudine Roediger303 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.

3.5
Eveline Wunder
61W–50L career · 3 lines in 2021
<1%59%41%
3.47
3.5
Claudine Roediger
17W–8L career · no lines in 2021
not enough data
3
Donald Chaikin
18W–42L career · type A · no lines in 2021
<1%74%26%
2.92
Jonathan Lau
59W–133L career · no lines in 2021
82%18%<1%
2.88
3
Vicente Andaya
49W–56L career · 4 lines in 2021
<1%86%13%
2.86
3
Bless Young
12W–46L career · no lines in 2021
not enough data
Lisa Oyama
15W–66L career · no lines in 2021
not enough data
Michael Kinoshita
30W–63L career · no lines in 2021
not enough data
Richard Doral
8W–24L career · no lines in 2021
not enough data
SAI PENG TOMCHAK
3W–0L career · no lines in 2021
not enough data
Val McKelvey
25W–35L career · no 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.