← TeamsCAC-Bailey
2019 Mixed 18 & Over · 8.0 Mixed
2 players · average NTRP 3.75 · USTA/PACIFIC NW / NORTHERN OREGON
Scouting
Roster averages 3.53 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.
3.53
Crystal Bryantusually #2 Doubles 57%, also #3 Doubles 43% · published 4
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Bob Lehmanusually #3 Doubles 50%, also #2 Doubles 33% · published 3.5
Results7 ties
2018-12-02Lost 0–1
L#3 DoublesCrystal Bryant / Bob Lehman vs Arlene Doughty / David Doughty6-4, 6-3
2018-11-04Won 1–0
W#2 DoublesBob Lehman / Danielle Barrett vs Sam Ko / Cathy Gatzke1-6, 7-5, 1-0
2018-10-20Won 1–0
W#3 DoublesBob Lehman / Crystal Bryant vs Shane Wilson / Cynthia Vuong1-6, 6-3, 1-0
2018-10-06Lost 0–1
L#2 DoublesBob Lehman / Tami Oglesby vs Ben Talpos / Amy Choi6-1, 6-2
2018-09-29Lost 0–1
L#1 DoublesTami Oglesby / Bob Lehman vs Carrie Putsch / Scott Stumbo1-6, 7-6, 1-0
2018-09-16Lost 0–1
L#3 DoublesChristian Thomson / Crystal Bryant vs Sheila Anderson / Christian Casebeer6-3, 6-0
2018-09-09Lost 0–1
L#3 DoublesBreAnn Granville / Bob Lehman vs Shane Wilson / Cynthia Vuong7-6, 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.