← TeamsJTC-Joannette/Safley-Drop Shots
2023 Mixed 18 & Over · 6.0 Mixed
2 players · average NTRP 3 · USTA/PACIFIC NW / SOUTHWEST WASHINGTON
Scouting
Roster averages 2.74 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.
3.04
Lupe Gonzalesusually #1 Doubles 50%, also #2 Doubles 33% · published 3
2.44
Natasha Bradyusually #2 Doubles 67%, also #3 Doubles 33% · published 3
Results5 ties
2022-11-12Lost 0–1
L#2 DoublesLupe Gonzales / Jeanine Lukes vs Ken Enslow / Connie Worthen6-3, 6-3
2022-10-29Lost 0–1
L#2 DoublesNatasha Brady / Dan Cardwell vs Stacie Nemetz / Brody Kunz6-4, 7-5
2022-10-23Lost 0–2
L#1 DoublesLori Neeley / Lupe Gonzales vs Ross Wilson / Elizabeth Barnes4-6, 6-3, 1-0
L#2 DoublesDan Cardwell / Natasha Brady vs Kenneth Kidder / Abelyn Encarnacion6-7, 7-6, 1-0
2022-10-08Lost 0–2
L#1 DoublesJolene Rhodes / Lupe Gonzales vs Maya Kocian / Matt Newton6-1, 6-1
L#3 DoublesNatasha Brady / Orlando Montoya vs Morgan McClellan / Jason Lee6-1, 6-1
2022-09-18Won 1–0
W#1 DoublesLupe Gonzales / Jolene Rhodes vs Min Jin Lee / Dave Crockett6-2, 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.