← Teams

SAC-Walker

2019 Mixed 40 & Over · 7.0 Mixed

8 players · average NTRP 3.56 · USTA/PACIFIC NW / NORTHERN OREGON

View scouting list →
Scouting

Roster averages 3.26 estimated across 7 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.

3.68
Tony Moreno
usually #1 Doubles 75%, also #2 Doubles 25% · published 4
3.50
Vimal Natarajan
usually #1 Doubles 40%, also #2 Doubles 40% · published 4
3.47
Jian Xu
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
3.27
Shawn Boyce
usually #3 Doubles 50%, also #2 Doubles 25% · published 3.5
—
Lyann Nguyen
usually #2 Doubles 33%, also #1 Doubles 33% · published 3.5
3.21
Mubashir Cheema
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
2.99
Jonathan Lo
usually #3 Doubles 100% · published 3.5
2.71
Craig Walker
usually #2 Doubles 75%, also #3 Doubles 25% · published 3
Results8 ties
2019-03-02Lost 0–3
L#1 DoublesWeizhen Guo / Tony Moreno vs Claire Thayer / Matt Thayer7-6, 7-6
L#2 DoublesAleli Siruno / Shawn Boyce vs Kimiko Kotsugi / Hoover Li7-5, 4-6, 1-0
L#3 DoublesJian Xu / Mubashir Cheema vs Theresa Mullally / Kok Waii Wong6-0, 6-0
2019-02-22Won 3–0
W#1 DoublesWeizhen Guo / Tony Moreno vs Kim Christensen / Bill Christensen7-5, 6-4
W#2 DoublesAleli Siruno / Craig Walker vs Tami Socolofsky / Eric Anderson6-2, 6-1
W#3 DoublesLyann Nguyen / Shawn Boyce vs Christine Keefer / Dan Wendling6-2, 6-2
2019-02-15Won 2–0
W#1 DoublesWeizhen Guo / Tony Moreno vs Jonathan Caplan / Emily Cohen6-0, 6-3
W#2 DoublesJian Xu / Mubashir Cheema vs Pat Kaplan / Patrick Kirk6-3, 6-4
2019-02-10Lost 1–2
L#1 DoublesShawn Boyce / Lyann Nguyen vs Shannon Roarke / Gregg Palmer6-4, 6-0
W#2 DoublesMubashir Cheema / Jian Xu vs Jeff Anhaltzer / Janet Cathcart6-1, 5-7, 1-0
L#3 DoublesJonathan Lo / Sara Shah vs Tom Clemente / Jane Pinkowski2-6, 6-1, 1-0
2019-02-01Won 3–0
W#1 DoublesShawn Boyce / Lyann Nguyen vs Karen Dellinger / Edmund Yuan6-2, 6-0
W#2 DoublesCraig Walker / Aleli Siruno vs John Liao / Jessi Sevy6-2, 6-1
W#3 DoublesMubashir Cheema / Jian Xu vs Steve Sanford / Kerry Sanford6-3, 6-0
2019-01-20Lost 1–2
L#1 DoublesTony Moreno / Lei Zhu vs Rolf Ellingsen / Cheryl Geisler6-2, 4-6, 1-0
W#2 DoublesVimal Natarajan / Weizhen Guo vs Alan Ebert / Barbara Pasmore6-4, 6-4
L#3 DoublesJonathan Lo / Sara Shah vs Vincent Scopacasa / Tomoko Langworthy6-4, 6-1
2019-01-11Won 3–0
W#1 DoublesTony Moreno / Lei Zhu vs Lori Vranizan / Edward Vranizan6-1, 6-1
W#2 DoublesShawn Boyce / Sara Shah vs Kurt Ferre / Barbara Ferre6-0, 6-2
W#3 DoublesCraig Walker / Aleli Siruno vs Steve Thompson / Erin Rothrock7-6, 6-1
2019-01-04Lost 1–2
L#1 DoublesVimal Natarajan / Lei Zhu vs Jim Wheeler / Kim Wheeler6-2, 2-6, 1-0
W#2 DoublesCraig Walker / Aleli Siruno vs Gwen Olsen / Allen VanLeuven6-2, 6-7, 1-0
L#3 DoublesJonathan Lo / Sara Shah vs Linda Binns / Warren Olsen6-4, 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
Tony Moreno
309W–153L career
2%98%0%
3.68
4
Vimal Natarajan
78W–95L career
34%66%0%
3.50
3.5
Jian Xu
138W–56L career
0%88%12%
3.47
3.5
Shawn Boyce
170W–125L career
0%99%0%
3.27
3.5
Lyann Nguyen
59W–44L career
not enough data
—
3.5
Mubashir Cheema
71W–74L career
3%97%0%
3.21
3.5
Jonathan Lo
31W–59L career
37%63%0%
2.99
3
Craig Walker
32W–39L career
11%85%3%
2.71

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.