Teams

WCCP-Advantage Central Park

2024 Adult 40 & Over · 4.5 Women

2 players · average NTRP 4.25 · USTA/PACIFIC NW / EASTERN WASHINGTON

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Scouting

Roster averages 3.82 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.

4.05
Aaryn Hieb
usually #1 Singles 50%, also #1 Doubles 25% · published 4.5
3.60
Disa Vradenburg
usually #2 Doubles 67%, also #1 Doubles 33% · published 4
Results4 ties
2024-06-02Split 11
W#2 DoublesDisa Vradenburg / Caitlin Hicks vs MELISSA PISHION BOTTA / Anne Kelly6-3, 6-4
L#3 DoublesDawn Eliassen / Aaryn Hieb vs Kathleen Goyette / Laurie Ono6-4, 5-7, 1-0
2024-06-02Lost 01
L#1 SinglesAaryn Hieb vs Kristin Larson6-2, 6-1
2024-06-01Split 11
W#1 DoublesDawn Eliassen / Aaryn Hieb vs Kathleen Goyette / Stephanie Flowers6-2, 6-2
L#2 DoublesDisa Vradenburg / Caitlin Hicks vs Chrissy Morgan / Laurie Ono6-3, 6-1
2024-06-01Split 11
L#1 DoublesDisa Vradenburg / Dawn Eliassen vs Laurie Ono / Rebecca Stewart Rust7-5, 6-3
W#1 SinglesAaryn Hieb vs Jill Bishop7-6, 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.

4.5
Aaryn Hieb
16W–30L career
10%90%0%
4.05
4
Disa Vradenburg
19W–42L career
19%81%0%
3.60

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.