Teams

VAC Sposito 8.0

2020 Mixed 18 & Over · 8.0 Mixed

1 players · average NTRP 4.5 · USTA/PACIFIC NW / SOUTHWEST WASHINGTON

View scouting list →
Scouting

Roster averages 4.10 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.

4.10
Colleen Sharkey
usually #2 Doubles 46%, also #3 Doubles 31% · published 4.5
Results6 ties
2019-11-02Won 10
W#1 DoublesColleen Sharkey / Thomas Valena vs Dave McDonald / Nikki Shirreff6-4, 6-1
2019-10-19Won 10
W#2 DoublesColleen Sharkey / Thomas Valena vs Chino Mclaughlin / Eric Gimmestad7-5, 6-3
2019-10-12Won 10
W#2 DoublesColleen Sharkey / Alex Wezensky vs Martin Goldman-Kirst / Brandy Nakada6-2, 6-4
2019-09-28Won 10
W#2 DoublesAlex Wezensky / Colleen Sharkey vs David Ralph / Arlene Yannello4-6, 6-4, 1-0
2019-09-14Won 10
W#3 DoublesColleen Sharkey / Alex Wezensky vs Natalia Devore / David Campana4-6, 6-1, 1-0
2019-09-08Lost 01
L#1 DoublesColleen Sharkey / Alex Wezensky vs Nikki Dizon / Christopher Lewis6-2, 6-2
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
Colleen Sharkey
65W–49L career
2%98%0%
4.10

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.