Teams

STC-Drop Shotters-Suver

2020 Mixed 18 & Over · 8.0

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

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Scouting

Roster averages 3.97 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.

4.28
Anne Medzegian
usually #2 Doubles 50%, also #1 Doubles 33% · published 4.5
3.66
Jennifer Czeisler
usually #3 Doubles 50%, also #2 Doubles 25% · published 4
Results4 ties
2019-11-24Won 20
W#1 DoublesJennifer Czeisler / Jeff Blackburn vs Mary Digenan / John Digenan6-1, 6-1
W#2 DoublesAnne Medzegian / Eric Hagen vs Joanna Tang / Gary Zhao6-3, 6-3
2019-10-27Lost 01
L#2 DoublesMichael Steele / Anne Medzegian vs Evgeniya Berger / Jordan Hill2-6, 6-4, 1-0
2019-10-18Won 10
W#2 DoublesMichael Steele / Anne Medzegian vs Robert Moline / Carla Iafrate6-1, 6-3
2019-10-05Won 20
W#1 DoublesEric Hagen / Anne Medzegian vs Soap Ngeth / Rika Matsumoto6-0, 4-6, 1-0
W#3 DoublesJennifer Czeisler / Kevin Shearer vs Susan Shinoda / Aaron Haffner1-6, 6-3, 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.

4.5
Anne Medzegian
151W–91L career
0%97%3%
4.28
4
Jennifer Czeisler
122W–96L career
6%94%0%
3.66

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.