← TeamsVAC Earl-Grippo
2020 Adult 40 & Over · 3.0 Men
2 players · average NTRP 3.25 · USTA/PACIFIC NW / SOUTHWEST WASHINGTON
Scouting
Roster averages 2.91 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.
3.15
Kevin Nielsenusually #3 Doubles 63%, also #1 Doubles 25% · published 3.5
Results8 ties
2020-03-08Won 1–0
W#3 DoublesKevin Nielsen / David Earl vs Bruce Garrison / Barry Johnson7-5, 6-4
2020-03-07Won 1–0
W#2 DoublesDavid Earl / Kevin Nielsen vs Devin Reilly / David Smith6-3, 6-3
2020-03-01Won 1–0
W#3 DoublesDavid Earl / Kevin Nielsen vs Craig Fulkerson / Larry Tuke6-4, 7-5
2020-02-23Won 1–0
W#3 DoublesKevin Nielsen / Daniel Salinas vs N/A6-0, 6-0
2020-02-15Won 1–0
W#3 DoublesKevin Nielsen / David Earl vs Tim Morley / Scott Baird6-2, 6-1
2020-01-19Lost 0–1
L#3 DoublesPaul Groven / Kevin Nielsen vs Anthony Suralta / Srinivasa Meka6-1, 6-3
2019-12-08Lost 0–1
L#1 DoublesKevin Nielsen / Stacey Nelson vs Denise Dickerson / Darran Hanson6-2, 7-5
2019-12-07Lost 0–1
L#1 DoublesKevin Nielsen / Rachel Lovingfoss vs Robert Mattson / Sheila Berry4-6, 6-1, 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.
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.