← TeamsMV-Harlan
2019 Mixed 18 & Over · 6.0 Mixed
3 players · average NTRP 3 · USTA/PACIFIC NW / NORTHERN OREGON
Scouting
Roster averages 2.69 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.
2.69
Kathryn Harlanusually #2 Doubles 50%, also #3 Doubles 50% · published 3
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Dennis Yalchusually #1 Doubles 50%, also #3 Doubles 25% · published 0
Results6 ties
2018-12-01Split 1–1
L#1 DoublesBrandi Arness / Dennis Yalch vs Kathleen Crowley / Stefano Cavallucci6-2, 6-0
W#2 DoublesRandy Walker / Annie Chen vs Gus Johnson / Amy Carolan7-6, 6-1
2018-11-11Won 1–0
W#1 DoublesBrandi Arness / Dennis Yalch vs Chris Olmsted / Karin Owens6-3, 6-1
2018-10-27Lost 0–1
L#2 DoublesDennis Yalch / Bianca LEMMONS vs Joanne Kalk / Dean Waters6-1, 6-1
2018-10-20Lost 0–1
L#3 DoublesJonathan Trussell / Kathryn Harlan vs Casey Billings / Manuel Garcia-Fernandez6-4, 6-2
2018-09-23Split 1–1
L#2 DoublesKathryn Harlan / Randy Walker vs Sue Johnson / Todd Jacobson6-2, 6-2
W#3 DoublesBrandi Arness / Dennis Yalch vs Janine Wood / Steven Phillippi7-6, 5-7, 1-0
2018-09-08Lost 0–1
L#2 DoublesNoelle Hamilton / Randy Walker vs Tim Janes / Katja Daoud6-2, 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.
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.