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2023 Adult 40 & Over · 2.5 Men
3 players · average NTRP 2.83 · USTA/PACIFIC NW / NORTHERN OREGON
Scouting
Roster averages 2.82 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.
2.90
Andrew Kullickusually #1 Doubles 50%, also #2 Doubles 50% · published 3
2.74
Hao Leeusually #1 Doubles 67%, also #2 Doubles 33% · published 3
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Walter Schwaneusually #1 Doubles 80%, also #2 Doubles 20% · published 2.5
Results5 ties
2023-06-10Lost 0–1
L#1 DoublesHao Lee / Walter Schwane vs Jon Lavietes / Bryan LaMontagne6-0, 6-2
2023-05-20Split 1–1
L#1 DoublesRyan Smith / Walter Schwane vs Jeremy Harkin / David Hubka7-6, 6-1
W#2 DoublesAli Shojania / Hao Lee vs Michael Venezia / Eric Heredia6-4, 4-6, 1-0
2023-05-14Split 1–1
L#1 DoublesJian Chen / Hao Lee vs Bryan LaMontagne / Kevin Franck6-3, 6-2
W#2 DoublesWalter Schwane / Andrew Kullick vs Jon Lavietes / Michael Rounds6-2, 6-1
2023-05-07Lost 0–1
L#1 DoublesWalter Schwane / Andrew Kullick vs Patrick Rhea / Jeremy Harkin6-4, 6-1
2023-04-22Won 1–0
W#1 DoublesWalter Schwane / Ryan Smith vs Stephen Blum / Kenneth Powers6-3, 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.
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.