← Teams

GAC-Hood River Bears

2019 Adult 18 & Over · 4.5 WOMEN

5 players · average NTRP 4.4 · USTA/PACIFIC NW / EASTERN WASHINGTON

View scouting list →
Scouting

Roster averages 3.93 estimated across 5 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.

4.03
Sierra Wright
usually #1 Doubles 50%, also #2 Doubles 44% · published 4.5
4.02
Sydney Taggart
usually #1 Singles 50%, also #2 Singles 40% · published 4.5
4.02
Karen Sullivan
usually #3 Doubles 46%, also #2 Doubles 31% · published 4.5
3.85
Maddie Karpinski
usually #1 Doubles 27%, also #2 Singles 27% · published 4.5
3.73
Trish Vawter
usually #1 Singles 67%, also #1 Doubles 22% · published 4
Results2 ties
2019-04-12Won 1–0
W#3 DoublesSierra Wright / Sydney Ihde vs Susan Morrison / Randi Welch3-6, 6-3, 1-0
2019-04-12Lost 0–1
L#2 DoublesSydney Ihde / Sierra Wright vs Debby Jones / Chelsea Gay6-1, 6-4
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
Sierra Wright
80W–69L career
11%89%0%
4.03
4.5
Sydney Taggart
68W–105L career
24%75%1%
4.02
4.5
Karen Sullivan
62W–81L career
12%88%0%
4.02
4.5
Maddie Karpinski
38W–58L career
54%46%0%
3.85
4
Trish Vawter
63W–83L career
1%99%0%
3.73

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.