Teams

Wolfpack

2023 One Doubles · 4.5 Women

2 players · average NTRP 4.5 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 4.05 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.

4.14
Kasey Williams
usually #1 Doubles 100% · published 4.5
3.97
Whitney Ludtke
usually #1 Doubles 100% · published 4.5
Results7 ties
2023-07-26Lost 01
L#1 DoublesWhitney Ludtke / Paige Dahlman vs Allison Buchman / Annie Duong6-1, 6-2
2023-07-13Won 10
W#1 DoublesWhitney Ludtke / Nicole Ralston vs Minou Chau / Amanda Jensen7-6, 4-6, 1-0
2023-07-12Won 10
W#1 DoublesKasey Williams / Paige Dahlman vs Rebecca Martinez Griffin / Maddie Karpinski6-2, 6-3
2023-07-10Lost 01
L#1 DoublesKasey Williams / Whitney Ludtke vs Nicole Partch / Tarynn Berkman7-5, 6-3
2023-07-08Won 10
W#1 DoublesKasey Williams / Whitney Ludtke vs Alix Edwards / Karen Ohollaren5-7, 6-3, 1-0
2023-06-28Lost 01
L#1 DoublesWhitney Ludtke / Kasey Williams vs Sue Gregoire / Kerstin Anderson2-6, 6-2, 1-0
2023-06-20Won 10
W#1 DoublesKasey Williams / Nicole Ralston vs Bo Yu / Coral Nash6-0, 6-2
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.

4.5
Kasey Williams
43W–36L career
1%98%0%
4.14
4.5
Whitney Ludtke
18W–28L career
27%73%0%
3.97

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.