Teams

PTC-Frankel/Phillips

2022 Mixed 18 & Over · 7.0 Mixed

7 players · average NTRP 3.43 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.58 estimated across 3 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.

3.74
Colleen Nolan
usually #1 Doubles 100% · published 4
3.55
Peter Johnson
usually #3 Doubles 67%, also #2 Doubles 33% · published 3.5
3.46
Vivek Mano
usually #3 Doubles 40%, also #2 Doubles 40% · published 3.5
Jason Fitzgerald
usually #1 Doubles 83%, also #3 Doubles 17% · published 3.5
John Boelling
usually #2 Doubles 100% · published 3.5
Debbie Frankel
usually #3 Doubles 50%, also #2 Doubles 38% · published 3
Nicole Floyd
usually #2 Doubles 75%, also #3 Doubles 25% · published 3
Results8 ties
2021-11-06Lost 12
L#1 DoublesJohn Baker / Colleen Nolan vs Todd Spear / Teresa Sullivan6-1, 6-2
W#2 DoublesBrendan Adamczyk / Debbie Frankel vs Julie Legassick / Tim Fernstrom1-6, 6-4, 1-0
L#3 DoublesVivek Mano / Felicia Phillips vs Kristin Spear / Matt Curtis6-3, 6-4
2021-10-24Lost 12
L#1 DoublesJason Fitzgerald / Colleen Nolan vs David Swanson / Lana Lane3-6, 6-3, 1-0
L#2 DoublesBrendan Adamczyk / Nicole Floyd vs Karen Ohollaren / Paul OHollaren7-5, 6-1
W#3 DoublesPeter Johnson / Debbie Frankel vs Paula Watt / William Neuhoff2-6, 6-4, 1-0
2021-10-17Lost 03
L#1 DoublesJason Fitzgerald / Colleen Nolan vs Amy Bucher / Jeff DeVall6-3, 6-1
L#2 DoublesBrendan Adamczyk / Nicole Floyd vs Brooke Daugherty / Ryan Mandel6-0, 6-2
L#3 DoublesJohn Baker / Debbie Frankel vs Eric Anderson / Shamera Daugherty6-0, 6-3
2021-10-10Won 20
W#1 DoublesJason Fitzgerald / Colleen Nolan vs Tom Sloan / Nicolle Lochner6-4, 7-5
W#2 DoublesJohn Boelling / Debbie Frankel vs Matthew Lundeberg / Christian Buchholz6-4, 6-2
2021-10-03Lost 12
W#1 DoublesJason Fitzgerald / Colleen Nolan vs Michael Sullivan / Teresa Sullivan6-4, 6-4
L#2 DoublesVivek Mano / Felicia Phillips vs Stephen Marsh / Mary Marsh6-4, 6-7, 1-0
L#3 DoublesPeter Johnson / Debbie Frankel vs Peter Brandenburger / Anne Brandenburger5-7, 6-4, 1-0
2021-09-26Lost 03
L#1 DoublesDebbie Frankel / Brendan Adamczyk vs Saurabh Chauhan / Joyce Wang6-2, 6-3
L#2 DoublesFelicia Phillips / Vivek Mano vs Jonathan Hong / Hailey Swisher6-7, 6-0, 1-0
L#3 DoublesNicole Floyd / Jason Fitzgerald vs Jin Velasco / Jacob Velasco6-0, 6-3
2021-09-19Lost 03
L#1 DoublesVivek Mano / Felicia Phillips vs Vincent Lee / Laurie Horenstein6-4, 6-2
L#2 DoublesJohn Boelling / Nicole Floyd vs Wanda Ng / Michael Davis6-2, 6-3
L#3 DoublesBrendan Adamczyk / Debbie Frankel vs Patty Chen / Hoover Li6-2, 6-2
2021-09-12Won 30
W#1 DoublesJason Fitzgerald / Colleen Nolan vs Brian McDonagh / Sara Crate7-5, 6-2
W#2 DoublesPeter Johnson / Debbie Frankel vs Raimund Grube / Michelle Posey6-2, 7-6
W#3 DoublesVivek Mano / Felicia Phillips vs N/A6-0, 6-0
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
Colleen Nolan
177W–79L career
1%99%0%
3.74
3.5
Peter Johnson
93W–53L career
0%70%30%
3.55
3.5
Vivek Mano
36W–21L career
0%86%14%
3.46
3.5
Jason Fitzgerald
27W–30L career · type M
not enough data
3.5
John Boelling
44W–51L career
not enough data
3
Debbie Frankel
24W–58L career
not enough data
3
Nicole Floyd
35W–56L 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.