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TLTC-Wilkerson-Ace Kickers

2022 Mixed 40 & Over · 6.0 Mixed Multi-week

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

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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 #1 Doubles 60%, also #3 Doubles 20% · published 3.5
—
Will Simonson
usually #2 Doubles 57%, also #3 Doubles 43% · published 0
Results4 ties
2022-07-31Won 1–0
W#1 DoublesLeah Knight / Christopher Kradjan vs Theresa Smith / Aaron Smith6-3, 0-6, 1-0
2022-07-23Split 1–1
W#1 DoublesDiane Kelley / Christopher Kradjan vs William Collins / Nadine Johnson Rice6-1, 6-4
L#2 DoublesTamra Stimach / Will Simonson vs Wendy Clarke / Jeremy Kasa6-3, 6-7, 1-0
2022-07-08Won 1–0
W#2 DoublesTamra Stimach / Will Simonson vs Shelly Hebert / Roger Hebert6-4, 6-3
2022-06-12Lost 0–1
L#1 DoublesKarina Spellman / Christopher Kradjan vs Amy White / Oliver Vicente6-3, 6-0
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.

3.5
Christopher Kradjan
127W–119L career
23%77%0%
3.03
0
Will Simonson
16W–16L career
not enough data
—

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.