← TeamsChenoweth/Soot
2025 One Doubles · 3.0 Men
3 players · average NTRP 2.83 · USTA/PACIFIC NW / NORTHERN OREGON
Scouting
Roster averages 2.61 estimated across 3 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.
Results8 ties
2025-08-03Lost 0–1
L#1 DoublesBrian Chenoweth / Kip Stevenson vs Jinhong Shin / Jungjoo Lee6-2, 6-3
2025-08-02Lost 0–1
L#1 DoublesBrian Chenoweth / Kip Stevenson vs Paul Preston / Kerry Griffin6-1, 6-3
2025-07-29Lost 0–1
L#1 DoublesBrian Chenoweth / Kip Stevenson vs Tate Kuerbis / Luis Ponce de Leon6-4, 6-3
2025-07-20Lost 0–1
L#1 DoublesScott Soot / Kip Stevenson vs John Brady / Umang Patel6-3, 6-1
2025-07-14Lost 0–1
L#1 DoublesScott Soot / Brian Chenoweth vs JUN KYU PARK / Seungmin Hong6-4, 4-6, 1-0
2025-07-13Won 1–0
W#1 DoublesBrian Chenoweth / Scott Soot vs Paul Best / Gus Johnson7-5, 6-2
2025-07-03Lost 0–1
L#1 DoublesBrian Chenoweth / Kip Stevenson vs Joseph Siri / James Jaeger6-2, 6-0
2025-06-23Lost 0–1
L#1 DoublesScott Soot / Brian Chenoweth vs Scott Dickinson / Jason Floyd6-2, 6-4
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.