← Teams

SJRC-Floyd

2023 Mixed 18 & Over · 7.0 Mixed

9 players · average NTRP 3.44 · USTA/PACIFIC NW / NORTHERN OREGON

View scouting list →
Scouting

Roster averages 3.48 estimated across 4 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 50%, also #2 Doubles 30% · published 4
3.55
Peter Johnson
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
3.46
Vivek Mano
usually #1 Doubles 71%, also #2 Doubles 14% · published 3.5
—
Christopher Robbins
usually #1 Doubles 33%, also #3 Doubles 33% · published 3.5
—
Jason Fitzgerald
usually #2 Doubles 67%, also #1 Doubles 33% · published 3.5
—
John Boelling
usually #2 Doubles 50%, also #3 Doubles 50% · published 3.5
3.18
Kieu Lam
usually #1 Doubles 60%, also #2 Doubles 20% · published 3.5
—
Debbie Frankel
usually #1 Doubles 40%, also #2 Doubles 40% · published 3
—
Nicole Floyd
usually #3 Doubles 50%, also #2 Doubles 50% · published 3
Results8 ties
2022-11-19Lost 0–2
L#1 DoublesColleen Nolan / Jason Fitzgerald vs Lia Irvin / Sebastian Llados Vila7-6, 7-6
L#2 DoublesNicole Floyd / Christopher Robbins vs Rachel Novak / Seth Wagner6-4, 6-4
2022-11-05Won 3–0
W#1 DoublesKieu Lam / Vivek Mano vs Dorothy Cofield / Bill Henderson6-2, 6-4
W#2 DoublesColleen Nolan / Jason Fitzgerald vs Mark Meyer / Melissa Gibson6-2, 6-3
W#3 DoublesDebbie Frankel / John Boelling vs Melanie Morris / Skip Potter6-1, 7-6
2022-10-29Won 3–0
W#1 DoublesKieu Lam / Vivek Mano vs Karen Pickering / Greg Mikol7-6, 7-6
W#2 DoublesColleen Nolan / Jason Fitzgerald vs Kyra John / Joe Trachta6-3, 6-3
W#3 DoublesNicole Floyd / Christopher Robbins vs Queenie Hapke / John Hapke6-3, 4-6, 1-0
2022-10-22Lost 1–2
L#1 DoublesDebbie Frankel / Christopher Robbins vs Helen Chen / Mubashir Cheema7-6, 7-5
L#2 DoublesCarla Scott / Jason Fitzgerald vs Shawn Boyce / Lyann Nguyen6-0, 6-1
W#3 DoublesKieu Lam / Vivek Mano vs N/A6-0, 6-0
2022-10-16Lost 0–2
L#1 DoublesKieu Lam / Vivek Mano vs Brian Hughes / Carolyn Graeper4-6, 6-2, 1-0
L#2 DoublesNicole Floyd / John Boelling vs Son Huynh / Karen Barks6-2, 6-0
2022-10-08Won 2–0
W#1 DoublesColleen Nolan / Vivek Mano vs Ariana White / Nate Larsen6-3, 3-6, 1-0
W#2 DoublesDebbie Frankel / Peter Johnson vs Elizabeth Schwarz / Zac Carlson7-5, 6-3
2022-10-01Split 1–1
L#1 DoublesColleen Nolan / Jason Fitzgerald vs Bruce Robertson / Andrea Robertson6-4, 6-3
W#2 DoublesDebbie Frankel / Vivek Mano vs Jeff Streich / Blythe Knott6-3, 2-6, 1-0
2022-09-10Won 2–1
L#1 DoublesDebbie Frankel / Vivek Mano vs Jonathan Hong / Cindy del Rosario6-1, 6-0
W#2 DoublesKieu Lam / Jason Fitzgerald vs Celene Robert / Leo Edmunson7-5, 6-4
W#3 DoublesNicole Floyd / Peter Johnson vs Hilary Johnson / Jordan Keomanivanh3-6, 6-4, 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
Vivek Mano
36W–21L career
0%86%14%
3.46
3.5
Christopher Robbins
15W–30L 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
—
3.5
Kieu Lam
45W–70L career
3%97%0%
3.18
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.