Teams

CRRC-Lamb/Mosbrucker

2024 Adult 18 & Over · 2.5 Women

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

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Scouting

Roster averages 2.86 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.

2.86
Roxanna Johnson
usually #1 Doubles 40%, also #2 Doubles 27% · published 3
Results7 ties
2024-04-06Won 10
W#2 DoublesRoxanna Johnson / Cheri Mosbrucker vs N/A6-0, 6-0
2024-03-31Won 10
W#1 SinglesRoxanna Johnson vs Abby Guttormsen6-3, 6-1
2024-03-24Lost 01
L#1 DoublesRoxanna Johnson / Sharon Wise vs Brittany Benson / Emily EchoHawk-Rehrer6-0, 6-3
2024-02-25Lost 01
L#1 DoublesRoxanna Johnson / Cheri Mosbrucker vs Nicole Alvarez / Wendy Chang6-3, 6-3
2024-02-09Lost 01
L#1 DoublesSharon Wise / Roxanna Johnson vs Wei Hua / Janene Clark6-0, 6-4
2024-01-26Won 10
W#2 DoublesJulie Poetsch / Roxanna Johnson vs Andrea Sommer / Sanam Dowlatdad6-1, 6-2
2024-01-20Won 10
W#1 DoublesSharon Wise / Roxanna Johnson vs Grainne Koeberl / Susan Wang6-4, 7-5
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.

3
Roxanna Johnson
114W–65L career
0%98%2%
2.86

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.