← TeamsNWW-BAIN-Neupauer
2025 Mixed 55 & Over · 8.0
2 players · average NTRP 4.25 · USTA/PACIFIC NW / NORTHWEST WASHINGTON
Scouting
Roster averages 4.00 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.
3.80
Cheryl Farnhamusually #2 Doubles 60%, also #3 Doubles 20% · published 4
Results8 ties
2025-08-02Won 1–0
W#3 DoublesRichard Alaniz / Dayna Guizzetti vs N/A6-0, 6-0
2025-07-26Lost 0–1
L#3 DoublesRichard Alaniz / Dayna Guizzetti vs John Follis / Kim Carey6-4, 6-2
2025-07-19Won 1–0
W#3 DoublesRichard Alaniz / Dayna Guizzetti vs Adam Sherr / Jamie Williams6-2, 6-3
2025-07-13Won 1–0
W#2 DoublesJohn Cattell / Cheryl Farnham vs Mary Digenan / Srish Sawkar6-3, 6-1
2025-07-12Won 1–0
W#2 DoublesJohn Cattell / Cheryl Farnham vs John Digenan / Ran Duan6-4, 7-6
2025-07-05Won 1–0
W#1 DoublesPaul Sullivan / Cheryl Farnham vs Rick Anderson / Holly Anderson6-3, 7-5
2025-06-28Lost 0–1
L#2 DoublesRoan Blacker / Cheryl Farnham vs Mick Jaeger / Shelley Chapman5-7, 6-4, 1-0
2025-06-14Lost 0–1
L#3 DoublesRichard Alaniz / Cheryl Farnham vs Thomas Ng / Nancy Chan6-1, 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.