← TeamsVAC Berghoff
2019 Mixed 18 & Over · 8.0 Mixed
2 players · average NTRP 3.75 · USTA/PACIFIC NW / SOUTHWEST WASHINGTON
Scouting
Roster averages 3.41 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.
3.76
Angela Keckusually #3 Doubles 50%, also #1 Doubles 25% · published 4
3.06
John Lindbergusually #1 Doubles 33%, also #3 Doubles 33% · published 3.5
Results6 ties
2018-11-25Lost 0–1
L#2 DoublesJohn Lindberg / Kathi McKay vs Sandra Shaffer / Martin Goldman-Kirst6-2, 6-1
2018-11-09Won 1–0
W#3 DoublesSteven Morta / Angela Keck vs Craig Stephens / Patty Kilmer6-4, 1-6, 1-0
2018-10-26Lost 0–1
L#3 DoublesLaurie Giebelhaus / John Lindberg vs Misa Banks / Ray Hoffmann6-3, 6-1
2018-10-06Lost 0–1
L#2 DoublesJim Pritchard / Angela Keck vs Marlene White / Wen Wen6-3, 6-1
2018-09-09Lost 0–1
L#1 DoublesAngela Keck / Jim Pritchard vs Eleanor Murray / Jeremy Pawloski7-6, 6-0
2018-09-07Lost 0–2
L#1 DoublesLinda Berghoff / John Lindberg vs Justin DeMattos / Haley Zeylmaker6-0, 6-1
L#3 DoublesJim Pritchard / Angela Keck vs Alyssa Mah / Igor Kunitsa6-1, 6-0
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.