Teams

SAC-Ko

2020 Mixed 18 & Over · 8.0 Mixed

9 players · average NTRP 3.67 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.46 estimated across 9 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.

4.02
Sydney Taggart
usually #1 Doubles 75%, also #2 Doubles 25% · published 4.5
3.82
Teresa Sullivan
usually #2 Doubles 67%, also #1 Doubles 33% · published 4
3.65
Bo Yu
usually #3 Doubles 50%, also #2 Doubles 50% · published 4
3.53
Mitchell Whitehurst
usually #1 Doubles 75%, also #2 Doubles 25% · published 3.5
3.33
Shawn Yu
usually #3 Doubles 100% · published 3.5
3.28
Sam Ko
usually #3 Doubles 33%, also #1 Doubles 33% · published 3.5
3.27
Shawn Boyce
usually #2 Doubles 57%, also #1 Doubles 36% · published 3.5
3.14
Paul Harwood
usually #1 Doubles 63%, also #3 Doubles 38% · published 3.5
3.11
Vicki Mark
usually #3 Doubles 67%, also #2 Doubles 33% · published 3
Results8 ties
2019-10-27Lost 03
L#1 DoublesMitchell Whitehurst / Teresa Sullivan vs Truc Tran / Jennifer Witty7-5, 3-6, 1-0
L#2 DoublesShawn Boyce / Bo Yu vs David Nguyen / Alison Marsh Harrison3-6, 6-1, 1-0
L#3 DoublesShawn Yu / Vicki Mark vs Kim Harper / Huong Ta6-3, 6-3
2019-10-20Lost 02
L#1 DoublesAnnette Garske / Mitchell Whitehurst vs Chizuru Watanabe / Jason Shiloh Moore6-2, 6-0
L#2 DoublesSam Ko / Vicki Mark vs Alexandra van Hoy / Kenya Reutin6-4, 6-3
2019-10-13Lost 02
L#2 DoublesSam Ko / Annette Garske vs Zhitong Chen / Juan Li6-1, 4-6, 1-0
L#3 DoublesShawn Yu / Vicki Mark vs Bin He / Mark Tryon6-4, 6-4
2019-10-11Won 20
W#1 DoublesShawn Boyce / Sydney Taggart vs Bala Prashanth Reddy Chappidi / Paula Jacobson4-6, 6-3, 1-0
W#3 DoublesSam Ko / Annette Garske vs Kelly Woodard / Jennifer Woodard6-4, 6-2
2019-10-05Lost 03
L#1 DoublesMitchell Whitehurst / Teresa Sullivan vs Jason Ruhmann / Mary Klinger7-6, 6-1
L#2 DoublesSydney Taggart / Shawn Boyce vs David Greenberg / Jackie Dooris5-7, 6-4, 1-0
L#3 DoublesBo Yu / Paul Harwood vs Kira Dennison Capen / Chris Collins6-2, 6-1
2019-09-28Won 21
W#1 DoublesBoon Yon Joung / Sam Ko vs Sekona Taufa / Carrie Willis4-6, 6-3, 1-0
W#2 DoublesMitchell Whitehurst / Teresa Sullivan vs Jeff Berman / Heather Watkins7-6, 3-6, 1-0
L#3 DoublesPaul Harwood / Bo Yu vs Tyler Shoemaker / Krista Mikalatos6-3, 6-0
2019-09-22Lost 12
L#1 DoublesShawn Boyce / Sydney Taggart vs Renato Bernasconi Zuccari / Angelina Warriner6-1, 6-4
L#2 DoublesDao Her / Teresa Sullivan vs Joe Voydat / Angie Lee6-3, 7-6
W#3 DoublesSam Ko / Annette Garske vs Rick Karlin / Julia Karlin6-3, 6-2
2019-09-13Lost 02
L#1 DoublesShawn Boyce / Sydney Taggart vs John Bard / Michele Waite6-4, 6-4
L#3 DoublesPaul Harwood / Bo Yu vs Daniel Lamey / Julie Carmena7-5, 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.

4.5
Sydney Taggart
68W–105L career
24%75%1%
4.02
4
Teresa Sullivan
112W–57L career
0%98%1%
3.82
4
Bo Yu
105W–180L career
4%96%0%
3.65
3.5
Mitchell Whitehurst
90W–77L career
0%76%24%
3.53
3.5
Shawn Yu
27W–43L career
1%97%3%
3.33
3.5
Sam Ko
66W–81L career
1%99%1%
3.28
3.5
Shawn Boyce
170W–125L career
0%99%0%
3.27
3.5
Paul Harwood
59W–69L career
14%85%1%
3.14
3
Vicki Mark
46W–38L career
0%48%52%
3.11

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.