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SJRC-Floyd/Frankel

2022 Mixed 40 & Over · 7.0 Mixed

8 players · average NTRP 3.38 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.65 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.

3.74
Colleen Nolan
usually #1 Doubles 71%, also #2 Doubles 29% · published 4
3.55
Peter Johnson
usually #3 Doubles 67%, also #2 Doubles 33% · published 3.5
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Brad Grenham
usually #1 Doubles 60%, also #2 Doubles 20% · published 3.5
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Jason Fitzgerald
usually #1 Doubles 57%, also #2 Doubles 29% · published 3.5
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John Boelling
usually #2 Doubles 60%, also #3 Doubles 20% · published 3.5
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Debbie Frankel
usually #2 Doubles 80%, also #1 Doubles 20% · published 3
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Kimberly Stockstad
usually #3 Doubles 67%, also #2 Doubles 33% · published 3
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Nicole Floyd
usually #1 Doubles 50%, also #3 Doubles 25% · published 3
Results8 ties
2022-03-19Lost 1–2
W#1 DoublesColleen Nolan / Jason Fitzgerald vs Andy LaFrazia / Tammy LaFrazia6-7, 7-6, 1-0
L#2 DoublesPeter Johnson / Debbie Frankel vs Dean Gaylor / Kelley Gaylor7-6, 3-6, 1-0
L#3 DoublesCarla Scott / Brad Grenham vs Denise Dawkins / Mark Dawkins6-4, 6-1
2022-02-25Won 2–0
W#1 DoublesNicole Floyd / Brad Grenham vs Christian Buchholz / Raimund Grube7-6, 0-6, 1-0
W#2 DoublesColleen Nolan / Jason Fitzgerald vs Rico McIver / Bruce Landrey6-3, 6-0
2022-02-20Won 3–0
W#1 DoublesColleen Nolan / Brad Grenham vs Bing Hu / Kathy Ottesen6-2, 6-3
W#2 DoublesNicole Floyd / John Boelling vs Judy Potts / Alan Potts7-5, 6-0
W#3 DoublesPeter Johnson / Kimberly Stockstad vs N/A6-0, 6-0
2022-02-05Lost 0–3
L#1 DoublesNicole Floyd / John Boelling vs Paul Harwood / Shari Levelle6-4, 6-2
L#2 DoublesDebbie Frankel / Brad Grenham vs Craig Frasier / Chiharu Olsson5-7, 6-0, 1-0
L#3 DoublesFelicia Phillips / Jason Fitzgerald vs Arjun Bilakanti / Ellen Hodges6-0, 7-5
2022-01-23Split 1–1
W#1 DoublesColleen Nolan / Jason Fitzgerald vs Maryam Farinola / Harish Krishnamurthy7-6, 6-3
L#2 DoublesJohn Boelling / Debbie Frankel vs Wenyan Li / Jinquan Wu6-1, 6-4
2022-01-22Lost 1–2
L#1 DoublesColleen Nolan / Jason Fitzgerald vs Betty Roux / David Pham7-6, 7-5
L#2 DoublesKimberly Stockstad / John Baker vs Maya Mori / Hoover Li6-4, 6-2
W#3 DoublesNicole Floyd / John Boelling vs Lala Climaco / Hien Lu6-4, 6-3
2022-01-15Won 2–1
W#1 DoublesColleen Nolan / Jason Fitzgerald vs Joy Kolesnikoff / Manuel Garcia-Fernandez6-2, 6-4
L#2 DoublesDebbie Frankel / John Boelling vs Lyudmila Leissler / Stefano Cavallucci7-6, 5-5
W#3 DoublesPeter Johnson / Kimberly Stockstad vs Nozomi Bray / Seth Wagner6-2, 6-3
2022-01-08Lost 0–2
L#1 DoublesBrad Grenham / Debbie Frankel vs Bruce Robertson / Andrea Robertson6-1, 6-0
L#2 DoublesJason Fitzgerald / Colleen Nolan vs Paul Laurent / Blythe Knott6-7, 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
Colleen Nolan
177W–79L career
1%99%0%
3.74
3.5
Peter Johnson
93W–53L career
0%70%30%
3.55
3.5
Brad Grenham
17W–25L career
not enough data
—
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
Kimberly Stockstad
18W–38L 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.