Teams

LRC Dayton

2020 Mixed 18 & Over · 9.0 Mixed

1 players · average NTRP 4.5 · USTA/PACIFIC NW / SOUTHWEST WASHINGTON

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Scouting

Roster averages 4.01 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.

4.01
Kim Hood
usually #2 Doubles 44%, also #3 Doubles 31% · published 4.5
Results8 ties
2019-11-30Lost 01
L#1 DoublesN Brooks / Kim Hood vs Frederick Walsh / Marissa Kirk4-6, 7-6, 1-0
2019-11-23Lost 01
L#3 DoublesJason Bower / Kim Hood vs Steven Pendlebury / Chotika Wannachinda6-1, 7-6
2019-11-17Won 10
W#2 DoublesKim Hood / Jason Bediones vs Wendy Mounger / Mitch Mounger6-4, 6-0
2019-11-10Won 10
W#2 DoublesKim Hood / N Brooks vs Luat Le / Jazmin Ahyat3-6, 6-3, 1-0
2019-11-03Won 10
W#3 DoublesKim Hood / N Brooks vs Kate Wang / Richard Deitz6-2, 6-4
2019-10-27Lost 01
L#2 DoublesRichard Deitz / Kim Hood vs Natalia Devore / Mark Mettler6-3, 6-3
2019-09-15Won 10
W#2 DoublesKent VanAlstyne / Kim Hood vs Andrea Tull / Chusak Saetee3-6, 7-6, 1-0
2019-09-07Won 10
W#3 DoublesBrock Lakely / Kim Hood vs Karandeep Kondal / Reva Wallace6-2, 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.

4.5
Kim Hood
151W–135L career
11%89%0%
4.01

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.