Teams

SJRC-Floyd

2020 Mixed 18 & Over · 7.0 Mixed

10 players · average NTRP 3.39 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.24 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.

3.80
Nate Larsen
published 4
3.33
Lauren Larsen
usually #2 Doubles 75%, also #1 Doubles 25% · published 3.5
3.28
Lynne Nieda
usually #3 Doubles 50%, also #1 Doubles 33% · published 3.5
Christopher Robbins
usually #3 Doubles 50%, also #1 Doubles 50% · published 3.5
John Boelling
usually #2 Doubles 50%, also #3 Doubles 33% · published 3.5
3.19
Kyra John
usually #3 Doubles 40%, also #1 Doubles 40% · published 3.5
Nicole Floyd
usually #1 Doubles 40%, also #2 Doubles 40% · published 3
Todd Carris
usually #1 Doubles 33%, also #3 Doubles 33% · published 3
2.60
Michael Parkhurst
usually #3 Doubles 50%, also #2 Doubles 50% · published 3
Results8 ties
2019-12-07Lost 02
L#1 DoublesNate Larsen / Lauren Larsen vs Craig Putnam / Angelina Warriner6-1, 6-3
L#2 DoublesJohn Boelling / Lynne Nieda vs Kok Waii Wong / Angie Lee6-7, 6-4, 1-0
2019-11-17Won 21
L#1 DoublesLynne Nieda / Christopher Robbins vs Bryan Shieh / Christine Matson7-6, 6-3
W#2 DoublesLauren Larsen / Todd Carris vs Paolo Tubito / Samantha Frearson3-6, 6-3, 1-0
W#3 DoublesJohn Boelling / Kyra John vs N/A6-0, 6-0
2019-10-25Won 21
L#1 DoublesManuel Garcia-Fernandez / Kyra John vs Christian Casebeer / Kayla Casebeer6-1, 6-4
W#2 DoublesLauren Larsen / Nate Larsen vs Susie Jansky / Richard Sohn6-4, 6-2
W#3 DoublesChristopher Robbins / Lynne Nieda vs Jill Craven / Brian Hefele6-1, 7-5
2019-10-19Split 11
W#2 DoublesNate Larsen / Lauren Larsen vs Nagaraj Sathyanarayan / Anita Rockwell7-6, 2-6, 1-0
L#3 DoublesNicole Floyd / Todd Carris vs Alison Marr / Wes Milligan6-3, 6-1
2019-10-04Split 11
W#1 DoublesChristopher Robbins / Kyra John vs Paul Harwood / Leslie Rosenberg7-5, 6-4
L#2 DoublesJohn Boelling / Nicole Floyd vs Colin Looi / Kaelin Teo6-2, 4-6, 1-0
2019-09-29Lost 12
L#1 DoublesTodd Carris / Nicole Floyd vs Tammy LaFrazia / Andy LaFrazia6-1, 6-2
L#2 DoublesMichael Parkhurst / Kyra John vs Megan Fries / Stephen Crook6-1, 6-0
W#3 DoublesJohn Boelling / Lynne Nieda vs N/A6-0, 6-0
2019-09-22Lost 03
L#1 DoublesManuel Garcia-Fernandez / Lynne Nieda vs Jennie Brawn / David Bender6-2, 6-2
L#2 DoublesJohn Boelling / Nicole Floyd vs Jessica Iselin / Todd Iselin6-1, 6-3
L#3 DoublesKyra John / Christopher Robbins vs Kathy Ramsey / Jim Fisher6-0, 6-1
2019-09-14Split 11
L#1 DoublesJohn Boelling / Nicole Floyd vs Ken Dragoon / Marian Sy Shamon6-3, 4-6, 1-0
W#3 DoublesMichael Parkhurst / Lynne Nieda vs Ruben Alcazar / Pamela Hughes6-3, 6-4
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
Nate Larsen
27W–11L career
0%99%1%
3.80
3.5
Lauren Larsen
81W–48L career
0%98%2%
3.33
3.5
Lynne Nieda
62W–51L career
1%99%0%
3.28
3.5
Christopher Robbins
15W–30L career
not enough data
3.5
John Boelling
44W–51L career
not enough data
3.5
Kyra John
42W–40L career
3%96%0%
3.19
3
Nicole Floyd
35W–56L career
not enough data
3
Todd Carris
8W–31L career
not enough data
3
Michael Parkhurst
40W–84L career
15%85%0%
2.60
0
Manuel Garcia-Fernandez
19W–9L 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.