Teams

CHARB-Taylor

2024 Mixed 55 & Over · 7.0 Mixed

8 players · average NTRP 3.42 · USTA/PACIFIC NW / NORTHERN OREGON

View scouting list →
Scouting

Roster averages 3.07 estimated across 5 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.

3.42
Craig Mills
usually #1 Doubles 100% · published 3.5
3.31
Lisa Wisthoff
usually #1 Doubles 100% · published 3.5
Patricia Sturr
usually #2 Doubles 50%, also #3 Doubles 25% · published 3.5
3.04
Christine Taylor
usually #2 Doubles 40%, also #3 Doubles 40% · published 3.5
3.03
Marlene Enos
usually #2 Doubles 67%, also #1 Doubles 33% · published 3.5
2.56
Karla Hendrickson
usually #1 Doubles 50%, also #2 Doubles 25% · published 3
Gary McKenzie
usually #1 Doubles 60%, also #3 Doubles 20% · published 0
KRIKOR NACCACHIAN
usually #2 Doubles 80%, also #3 Doubles 20% · published 0
Results8 ties
2024-05-17Won 20
W#1 DoublesDavid Lee / Lisa Wisthoff vs Nancy Atkins / David Rabbino6-0, 7-6
W#2 DoublesKRIKOR NACCACHIAN / Patricia Sturr vs Tommy Atkins / Susan Browning7-6, 4-6, 1-0
2024-05-11Lost 03
L#1 DoublesLisa Wisthoff / Gary McKenzie vs Mary Lowblad / Bill Lowblad6-2, 6-3
L#2 DoublesMarlene Enos / KRIKOR NACCACHIAN vs Kristin Bialobok / Jason Dortch6-0, 6-2
L#3 DoublesChristine Taylor / Shirish Patel vs Dayna Jahnke-Corwin / Tony Moreno6-0, 6-3
2024-05-05Lost 02
L#1 DoublesGary McKenzie / Lisa Wisthoff vs Richard Sohn / Kim Wright2-6, 7-5, 1-0
L#2 DoublesKRIKOR NACCACHIAN / Patricia Sturr vs James Takahashi / Lisa Hockman6-1, 6-2
2024-05-04Split 11
L#1 DoublesCarlos Iturrino / Marlene Enos vs Michael Sheridan / Ellen Mulherin6-0, 6-3
W#3 DoublesChristine Taylor / KRIKOR NACCACHIAN vs N/A6-0, 6-0
2024-04-28Lost 03
L#1 DoublesCarlos Iturrino / Patricia Sturr vs Nick Hooker / Nicola Ash6-1, 6-1
L#2 DoublesGary McKenzie / Christine Taylor vs Lawrence Cooper / Wendie Nowacki6-3, 6-3
L#3 DoublesKarla Hendrickson / David Lee vs Carol Glenn / Robert Glenn6-4, 6-0
2024-04-20Lost 02
L#1 DoublesGary McKenzie / Denise Angel vs Annie Sumpter / Marcelo Diversi7-5, 6-2
L#2 DoublesKRIKOR NACCACHIAN / Christine Taylor vs Steve Russell / Patricia Nierenberg6-2, 6-4
2024-04-06Lost 12
W#1 DoublesLisa Wisthoff / Craig Mills vs Dalika Crawford / Robert Crawford6-4, 6-3
L#2 DoublesMarlene Enos / Shirish Patel vs Cathy Zagunis / Scott Dickinson2-6, 6-1, 1-0
L#3 DoublesPatricia Sturr / Carlos Iturrino vs JaReda Webb / DeWayne Ledbetter6-3, 6-2
2024-03-17Lost 03
L#1 DoublesCraig Mills / Christine Taylor vs Pete Kovalenko / Rochelle Pluymers6-3, 4-6, 1-0
L#2 DoublesDavid Lee / Karla Hendrickson vs Joselito Navales / Maryann Velez6-3, 4-6, 1-0
L#3 DoublesGary McKenzie / Denise Angel vs Larry Liu / Janet Mills6-4, 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.

3.5
Craig Mills
58W–89L career
0%91%9%
3.42
3.5
Lisa Wisthoff
34W–29L career
3%90%7%
3.31
3.5
Patricia Sturr
59W–77L career
not enough data
3.5
Christine Taylor
47W–49L career · type A
24%76%0%
3.04
3.5
Marlene Enos
42W–75L career · type A
24%76%0%
3.03
3
Karla Hendrickson
41W–109L career
18%82%0%
2.56
0
Gary McKenzie
28W–29L career
not enough data
0
KRIKOR NACCACHIAN
10W–13L 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.