Teams

CHARB-Zevenbergen

2019 Mixed 18 & Over · 8.0 Mixed

8 players · average NTRP 3.81 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.63 estimated across 6 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.

3.85
Emily McBride
usually #1 Doubles 43%, also #2 Doubles 43% · published 4
3.78
Kris Kelly-Koster
usually #1 Doubles 50%, also #2 Doubles 25% · published 4
Roxanne Imbrie
usually #2 Doubles 60%, also #3 Doubles 20% · published 4
3.68
Tony Moreno
usually #1 Doubles 55%, also #2 Doubles 36% · published 4
3.58
Heather Watkins
usually #3 Doubles 50%, also #2 Doubles 25% · published 4
3.47
Tom Lonergan
usually #1 Doubles 100% · published 3.5
3.42
Craig Mills
usually #2 Doubles 33%, also #1 Doubles 33% · published 3.5
Patricia Sturr
usually #2 Doubles 67%, also #3 Doubles 33% · published 3.5
Results8 ties
2018-11-18Lost 03
L#1 DoublesEmily McBride / Tom Lonergan vs Traci Harris / Luke Filose6-3, 6-3
L#2 DoublesTony Moreno / Roxanne Imbrie vs Nicole Ralston / Michael Cheng6-2, 6-7, 1-0
L#3 DoublesKen Crowley / Kris Kelly-Koster vs Justin Shull / Margaret Sivertsen6-2, 6-2
2018-11-04Split 11
L#1 DoublesKen Crowley / Heather Watkins vs Cord Speelman / Jennifer Simmons4-6, 6-2, 1-0
W#2 DoublesTony Moreno / Patricia Sturr vs Vu Nguyen / Halle Jackson6-3, 3-6, 1-0
2018-10-21Lost 12
W#1 DoublesTom Lonergan / Emily McBride vs Eileen Reid / Rick Wong6-2, 7-5
L#2 DoublesTony Solivan / Roxanne Imbrie vs Sandi Bittler / Jonathan Eames6-7, 6-3, 1-0
L#3 DoublesTony Moreno / Patricia Sturr vs Susan Dussault / Mark Seneker6-3, 6-4
2018-10-21Lost 12
W#1 DoublesRoxanne Imbrie / Tony Moreno vs Robby Lafleur / Craig Williams6-3, 0-6, 1-0
L#2 DoublesHeather Watkins / Ken Crowley vs Michelle Donato / Kenya Reutin6-2, 6-1
L#3 DoublesEmily McBride / Adam Hutchinson vs Sharon Grilley / Kevin Heller6-4, 6-1
2018-10-13Lost 03
L#1 DoublesTom Lonergan / Kris Kelly-Koster vs Michael Sather / Vivian Nguyen6-1, 6-3
L#2 DoublesTony Moreno / Elaine Zevenbergen vs Michael Davis / Yoriko Matsumori6-2, 5-7, 1-0
L#3 DoublesHeather Watkins / Jeff Hammonds vs Scott Holland / Rie Sasakawa6-0, 4-6, 1-0
2018-09-29Won 21
L#1 DoublesElaine Zevenbergen / Tony Moreno vs Jon Monson / Raini Spitze6-1, 6-4
W#2 DoublesKris Kelly-Koster / Ken Crowley vs N/A6-0, 6-0
W#3 DoublesCraig Mills / Roxanne Imbrie vs N/A6-0, 6-0
2018-09-23Lost 02
L#1 DoublesKen Crowley / Emily McBride vs Adam Gamboa / Mary Klinger3-6, 6-1, 1-0
L#2 DoublesTony Moreno / Roxanne Imbrie vs Joel Pickard / Kira Dennison Capen6-4, 6-4
2018-09-09Lost 02
L#1 DoublesKen Crowley / Kris Kelly-Koster vs Shaina Yeung / Michael Cheng4-6, 6-1, 1-0
L#2 DoublesPatricia Sturr / Tony Solivan vs Julie Hanson / Steve Vanderploeg6-1, 6-1
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
Emily McBride
72W–73L career
0%98%2%
3.85
4
Kris Kelly-Koster
79W–101L career
0%99%0%
3.78
4
Roxanne Imbrie
46W–44L career
not enough data
4
Tony Moreno
309W–153L career
2%98%0%
3.68
4
Heather Watkins
118W–97L career
14%86%0%
3.58
3.5
Tom Lonergan
104W–99L career
0%87%13%
3.47
3.5
Craig Mills
58W–89L career
0%91%9%
3.42
3.5
Patricia Sturr
59W–77L 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.