Teams

LRC-Villalobos-Asian Tsunami

2023 Mixed 40 & Over · 7.0 Mixed Multi-week

2 players · average NTRP 3.5 · USTA/PACIFIC NW / SOUTHWEST WASHINGTON

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Scouting

Roster averages 3.58 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.

3.58
Mutsumi Locklear
usually #2 Doubles 75%, also #3 Doubles 25% · published 4
John Curry
usually #3 Doubles 50%, also #2 Doubles 33% · published 3
Results5 ties
2023-08-20Split 11
W#2 DoublesMutsumi Locklear / Zheng Ge vs Steve Rudolf / Chino Mclaughlin7-5, 6-6
L#3 DoublesLisa Kim / John Curry vs Travis Westfall / Amy Fuller1-6, 6-3, 1-0
2023-08-05Won 10
W#2 DoublesAnthony Suralta / Mutsumi Locklear vs Bill Boyett / Karen Fossum6-2, 6-1
2023-07-29Won 20
W#2 DoublesAnthony Suralta / Mutsumi Locklear vs Steve Cowger / Michelle Cowger6-1, 6-4
W#3 DoublesJohn Curry / Lisa Kim vs Bryce Clarke / Wendy Clarke6-3, 6-1
2023-07-19Won 10
W#3 DoublesMutsumi Locklear / Anthony Suralta vs Sara Simonson / Marc Wade6-3, 6-2
2023-07-15Won 10
W#3 DoublesJohn Curry / Angela Brinkhaus vs Luther Ford / Karin Mattson6-4, 6-7, 1-0
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.
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
Mutsumi Locklear
119W–115L career
15%85%0%
3.58
3
John Curry
95W–52L career
not enough data

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.