Teams

Tough Love-Bledsoe

2019 One Doubles · 3.5 Women

2 players · average NTRP 3.5 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.27 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.

3.50
Colleen Kellogg
usually #1 Doubles 100% · published 3.5
3.04
Marian Sy Shamon
usually #1 Doubles 100% · published 3.5
Results7 ties
2019-08-03Lost 01
L#1 DoublesColleen Kellogg / Garrene Mcgale vs Deanna McKay / Stephnie Bonn6-4, 6-4
2019-07-23Lost 01
L#1 DoublesLisa Bledsoe / Colleen Kellogg vs Deanna McKay / Stephnie Bonn4-6, 7-5, 1-0
2019-07-21Won 10
W#1 DoublesColleen Kellogg / Lisa Bledsoe vs Janet Lee / Lia Irvin6-2, 6-4
2019-07-14Won 10
W#1 DoublesMarian Sy Shamon / Garrene Mcgale vs Jill Huffman / Lisa Berger6-4, 7-5
2019-07-12Lost 01
L#1 DoublesMarian Sy Shamon / Garrene Mcgale vs Sarah Ferrer / Megan McCarter6-3, 6-4
2019-07-07Lost 01
L#1 DoublesGarrene Mcgale / Marian Sy Shamon vs Kathy Ramsey / Lisa Berger5-7, 6-4, 1-0
2019-06-25Lost 01
L#1 DoublesColleen Kellogg / Marian Sy Shamon vs Jennifer Lucas / Danielle Barrett6-4, 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
Colleen Kellogg
65W–69L career
0%81%19%
3.50
3.5
Marian Sy Shamon
8W–26L career
32%68%0%
3.04

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.