Teams

SWW-TLTC-Kradjan

2025 Adult 40 & Over · 3.5 Men

1 players · average NTRP 3.5 · USTA/PACIFIC NW / SOUTHWEST WASHINGTON

View scouting list →
Scouting

Roster averages 3.03 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.

3.03
Christopher Kradjan
usually #2 Doubles 71%, also #1 Doubles 29% · published 3.5
Results7 ties
2025-03-21Won 10
W#1 DoublesChristopher Kradjan / Brady Miller vs Robert Johnston / Bill Boyett6-2, 6-4
2025-03-15Lost 01
L#2 DoublesChristopher Kradjan / Bryan Welch vs Barry Johnson / Daniel Benson3-6, 6-3, 1-0
2025-03-02Won 10
W#2 DoublesChristopher Kradjan / Brady Miller vs Chang Yeol Choi / Jaekyung Song6-3, 6-3
2025-02-22Won 10
W#2 DoublesChristopher Kradjan / Brady Miller vs Kyle Roberts / Justin Martin6-2, 6-2
2025-02-08Won 10
W#2 DoublesChristopher Kradjan / Brady Miller vs Marc Wade / Chris Blaesi6-0, 6-3
2025-01-25Lost 01
L#1 DoublesChristopher Kradjan / Mark Youngberg vs Elvis Ochoa / Jason Herrera6-3, 6-1
2025-01-12Lost 01
L#2 DoublesChristopher Kradjan / Brady Miller vs Pete Addison / Richard Triquart6-1, 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.

3.5
Christopher Kradjan
127W–119L career
23%77%0%
3.03

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.