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CP-Rally Cats-Bengford

2020 Mixed 18 & Over · 8.0

2 players · average NTRP 4 · USTA/PACIFIC NW / NORTHWEST WASHINGTON

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Scouting

Roster averages 3.68 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.

3.81
Mistie Iseman
usually #2 Doubles 100% · published 4
3.54
Kimberly Skorupa
usually #3 Doubles 60%, also #1 Doubles 20% · published 4
Results5 ties
2019-11-09Lost 0–2
L#2 DoublesMistie Iseman / Joel Iseman vs Brittany Haffner / William Chan6-2, 6-2
L#3 DoublesKimberly Skorupa / Yen Chen vs Anna Deliganis / Christopher DePaiva7-5, 6-3
2019-11-03Lost 0–1
L#2 DoublesJoel Iseman / Mistie Iseman vs Bally Bang / Anh Lao6-1, 6-1
2019-10-12Lost 0–1
L#2 DoublesScott Skorupa / Kimberly Skorupa vs James Ferguson / Fatima Wallin6-0, 5-7, 1-0
2019-09-27Won 1–0
W#1 DoublesDale Garnett / Kimberly Skorupa vs Vincent Lopes / Cora Byers6-4, 6-7, 1-0
2019-09-20Won 1–0
W#2 DoublesJoel Iseman / Mistie Iseman vs Lisa Mckenny / Troy King6-1, 7-5
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
Mistie Iseman
109W–75L career
0%99%1%
3.81
4
Kimberly Skorupa
132W–138L career
21%80%0%
3.54

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.