Teams

Kim-RC Crew

2022 One Doubles · 3.5 Men

3 players · average NTRP 4 · USTA/PACIFIC NW / NORTHERN OREGON

View scouting list →
Scouting

Roster averages 3.60 estimated across 1 rated player. 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.

Charlie Adams
usually #1 Doubles 100% · published 4
Shane Kim
usually #1 Doubles 100% · published 4
3.60
Chris Hasle
usually #1 Doubles 100% · published 4
Results6 ties
2022-08-04Lost 01
L#1 DoublesMichael Lee / Charlie Adams vs Nick Hooker / PATRICK GOTTSCH6-2, 6-1
2022-08-01Won 10
W#1 DoublesCharlie Adams / Michael Lee vs David Young / Bryan Shieh6-2, 6-3
2022-06-30Won 10
W#1 DoublesCharlie Adams / Chris Hasle vs Robert Glenn / Brad Johnson6-4, 6-2
2022-06-27Lost 01
L#1 DoublesCharlie Adams / Shane Kim vs Bryan Shieh / David Young4-6, 6-3, 1-0
2022-06-23Won 10
W#1 DoublesChris Hasle / Shane Kim vs Nate Larsen / Andy Bracken6-2, 6-0
2022-06-16Won 10
W#1 DoublesChris Hasle / Shane Kim vs Eric Halvorson / Lamone Voravongseng6-1, 6-2
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.
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.

4
Charlie Adams
51W–47L career
not enough data
4
Shane Kim
27W–28L career
not enough data
4
Chris Hasle
55W–54L career
24%75%1%
3.60

Three percentages are the year-end projection — chance of moving down, staying, moving up — and the number on the right is our estimated dynamic rating, which USTA never publishes. 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.