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SAC-Xu

2019 Mixed 18 & Over · 6.0 Mixed

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

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Scouting

Roster averages 3.19 estimated across 6 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.

3.47
Jian Xu
usually #1 Doubles 88%, also #2 Doubles 13% · published 3.5
3.35
Timothea Barnatan
usually #1 Doubles 57%, also #2 Doubles 29% · published 3.5
—
Robin Fernstrom
usually #3 Doubles 80%, also #2 Doubles 20% · published 3.5
3.21
Parul Saxena
usually #1 Doubles 67%, also #3 Doubles 33% · published 3.5
3.15
Patty Chen
usually #2 Doubles 50%, also #1 Doubles 25% · published 3.5
3.09
Rajan Madhusudan
usually #3 Doubles 83%, also #1 Doubles 17% · published 3.5
2.86
Yogesh Patel
usually #2 Doubles 50%, also #3 Doubles 25% · published 3
—
Tim Fernstrom
usually #2 Doubles 67%, also #1 Doubles 33% · published 3
—
Peter Brandenburger
usually #2 Doubles 50%, also #1 Doubles 33% · published 0
Results8 ties
2018-11-09Won 2–1
W#1 DoublesJian Xu / Kok Waii Wong vs Sarah Robertson / Richard Anderson6-2, 6-3
L#2 DoublesTimothea Barnatan / Peter Brandenburger vs Rebecca Roberts / Lee Holzman6-3, 6-7, 1-0
W#3 DoublesPatty Chen / Yogesh Patel vs Kayla Casebeer / Jim Lekas6-3, 6-2
2018-10-21Lost 1–2
L#1 DoublesParul Saxena / Yuehai Liang vs Chrys Culver / Greg Culver6-4, 6-1
L#2 DoublesTim Fernstrom / Patty Chen vs Carri Schmidt / Brian Schmidt6-0, 6-3
W#3 DoublesRobin Fernstrom / Rajan Madhusudan vs Pamela Michie / Paul Blankenmeister4-6, 7-5, 1-0
2018-10-20Lost 1–2
L#1 DoublesTim Fernstrom / Anne Daniels vs Kimberly Parks / ANTHONY PEPE6-1, 6-1
W#2 DoublesJian Xu / Kok Waii Wong vs Alyssa Wong / William Allers6-2, 6-0
L#3 DoublesTimothea Barnatan / Stephen Marsh vs Jennifer Raze / Nate Larsen7-6, 6-3
2018-10-06Won 2–1
L#1 DoublesYogesh Patel / Patty Chen vs Kelly Norling / Willis Boyer6-4, 6-3
W#2 DoublesTimothea Barnatan / Peter Brandenburger vs Keith Zawadzki / Michelle Zawadzki2-6, 7-5, 1-0
W#3 DoublesRajan Madhusudan / Natalia Joelson vs Rob Chandler / Sarie Crothers6-3, 6-3
2018-09-29Won 2–0
W#1 DoublesParul Saxena / Yuehai Liang vs Andrea Kropp / John McCarthy6-4, 6-2
W#2 DoublesRobin Fernstrom / Peter Brandenburger vs Trish Peters / Edward Kim6-4, 0-6, 1-0
2018-09-23Won 2–0
W#2 DoublesAnne Daniels / Tim Fernstrom vs Humberto Gomez / Mikayla Posey6-2, 6-0
W#3 DoublesWoohyung Kim / Yogesh Patel vs Patrick Miller / Angela Diaz de Leon6-1, 6-2
2018-09-15Won 2–0
W#1 DoublesTimothea Barnatan / Peter Brandenburger vs Mary Jane Toolson / Jack Crossen3-6, 6-3, 1-0
W#3 DoublesRobin Fernstrom / Yuehai Liang vs George Middleton / Gail Vogel6-0, 6-2
2018-09-09Won 2–1
W#1 DoublesJian Xu / Kok Waii Wong vs Autumn Bunch / Scott Mayer6-2, 6-2
W#2 DoublesPatty Chen / Yogesh Patel vs Sharon Place / William Place6-1, 6-2
L#3 DoublesParul Saxena / Rajan Madhusudan vs Pamela Michie / Greg Culver1-6, 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.

3.5
Jian Xu
138W–56L career
0%88%12%
3.47
3.5
Timothea Barnatan
95W–117L career
0%98%2%
3.35
3.5
Robin Fernstrom
48W–36L career
not enough data
—
3.5
Parul Saxena
36W–43L career
2%98%0%
3.21
3.5
Patty Chen
59W–56L career
6%94%0%
3.15
3.5
Rajan Madhusudan
94W–79L career
13%87%0%
3.09
3
Yogesh Patel
46W–46L career
0%94%6%
2.86
3
Tim Fernstrom
20W–31L career
not enough data
—
0
Peter Brandenburger
21W–20L 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.