← TeamsTLTC-Kradjan 7.0
2023 Mixed 40 & Over · 7.0 Mixed Multi-week
2 players · average NTRP 3.25 · USTA/PACIFIC NW / SOUTHWEST WASHINGTON
Scouting
Roster averages 3.04 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 #3 Doubles 75%, also #2 Doubles 25% · published 3
Results6 ties
2023-08-20Split 1–1
W#2 DoublesMegan Miller / Christopher Kradjan vs Aaron Smith / Karin Mattson6-1, 6-1
L#3 DoublesSue Jarvis / Lupe Gonzales vs Luther Ford / Hong Vo6-2, 6-2
2023-08-16Won 1–0
W#3 DoublesJohnni Cassidy / Lupe Gonzales vs Vicki Moll / Steven Cole6-3, 6-4
2023-08-09Won 1–0
W#2 DoublesSara Simonson / Christopher Kradjan vs Robert Collie / Corinne Collie7-6, 6-2
2023-08-05Lost 0–1
L#2 DoublesJolene Rhodes / Lupe Gonzales vs Pamela Kohler / Steve Rudolf6-4, 6-2
2023-07-29Lost 0–1
L#1 DoublesChristopher Kradjan / Johnni Cassidy vs Oliver Vicente / MAIMAI BENSON6-0, 6-4
2023-07-05Split 1–1
W#2 DoublesMegan Miller / Christopher Kradjan vs Julie Monson / Scott Monson7-5, 6-4
L#3 DoublesSue Jarvis / Lupe Gonzales vs Michelle Cowger / Steve Cowger6-4, 3-6, 1-0
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.