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RBW-Matias

2019 Mixed 18 & Over · 9.0

2 players · average NTRP 4.5 · USTA/PACIFIC NW / NORTHWEST WASHINGTON

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Scouting

Roster averages 4.10 estimated across 2 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.

4.26
Kirsi Varsa
usually #3 Doubles 57%, also #1 Doubles 29% · published 4.5
3.94
Gillianne Beyer
usually #1 Doubles 33%, also #3 Doubles 33% · published 4.5
Results5 ties
2018-12-02Lost 0–1
L#2 DoublesGillianne Beyer / Myles Matias vs Kaila Yun / Todd Conley6-3, 6-4
2018-10-21Lost 0–1
L#2 DoublesKirsi Varsa / Arun Chokkalingam vs Jessyca Arthur-Cameselle / Kevin McCarthy6-3, 6-4
2018-10-06Won 1–0
W#3 DoublesArun Chokkalingam / Kirsi Varsa vs Anette Pedersen / Justin Kinney6-0, 7-6
2018-09-21Won 1–0
W#3 DoublesGillianne Beyer / Riley Peschon vs Allison Porter / Michael Mungin6-4, 6-7, 1-0
2018-09-09Won 1–0
W#1 DoublesGillianne Beyer / Riley Peschon vs Jennifer Box / Robert Box6-2, 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.

4.5
Kirsi Varsa
81W–74L career
0%97%2%
4.26
4.5
Gillianne Beyer
42W–26L career
32%68%0%
3.94

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.