Teams

Billings

2022 One Doubles · 3.5 Women

2 players · average NTRP 4 · USTA/PACIFIC NW / NORTHERN OREGON

View scouting list →
Scouting

Roster averages 3.56 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.

Carly Vendegna
usually #1 Doubles 100% · published 4
3.56
Gabriela McIntosh
usually #1 Doubles 100% · published 4
Results7 ties
2022-08-14Lost 01
L#1 DoublesGabriela McIntosh / Carly Vendegna vs Erin Casey / Colleen Nolan6-3, 2-6, 1-0
2022-08-04Won 10
W#1 DoublesCasey Billings / Gabriela McIntosh vs Cate Harrington / Angie Stromquist2-6, 6-4, 1-0
2022-07-21Lost 01
L#1 DoublesCourtney Casi / Gabriela McIntosh vs Kari Hastings / Inna Vlad6-3, 6-4
2022-07-20Won 10
W#1 DoublesCasey Billings / Gabriela McIntosh vs Rebecca Griffith / Rochelle Pluymers6-4, 6-3
2022-07-14Lost 01
L#1 DoublesCasey Billings / Carly Vendegna vs Kari Hastings / Inna Vlad6-0, 6-2
2022-07-13Won 10
W#1 DoublesCasey Billings / Carly Vendegna vs Nichole Anglin / Eliza Oh4-6, 6-2, 1-0
2022-06-30Won 10
W#1 DoublesCourtney Casi / Carly Vendegna vs Kimberly Parks / Morgan Cowling6-3, 6-3
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
Carly Vendegna
67W–44L career
not enough data
4
Gabriela McIntosh
111W–90L career
18%82%0%
3.56

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.