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SAC-Sun/Boyce (7.0)

2022 Mixed 40 & Over · 7.0 Mixed

11 players · average NTRP 3.55 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.33 estimated across 8 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.

3.64
Paritosh Saxena
usually #1 Doubles 100% · published 4
3.60
Seungja Shin
usually #3 Doubles 40%, also #2 Doubles 40% · published 4
3.47
Jian Xu
usually #3 Doubles 50%, also #2 Doubles 25% · published 3.5
3.27
Shawn Boyce
usually #1 Doubles 33%, also #2 Doubles 33% · published 3.5
—
Lyann Nguyen
usually #2 Doubles 75%, also #1 Doubles 25% · published 3.5
3.22
Jeff Wheeler
usually #3 Doubles 100% · published 3.5
3.19
Jill Boyce
usually #1 Doubles 43%, also #2 Doubles 29% · published 3.5
3.13
Hoon Shin
usually #3 Doubles 100% · published 3.5
3.09
Rajan Madhusudan
usually #2 Doubles 67%, also #3 Doubles 33% · published 3.5
—
Steven Harrison
usually #3 Doubles 50%, also #1 Doubles 50% · published 3
—
Shoully Mendyke
usually #3 Doubles 100% · published 0
Results8 ties
2022-03-19Won 2–1
L#1 DoublesSeungja Shin / Steven Harrison vs Kim Wright / Jeffrey Bayless6-1, 1-6, 1-0
W#2 DoublesShawn Boyce / Lyann Nguyen vs Jeri Finn / Richard Sohn6-4, 2-6, 1-0
W#3 DoublesHelen Chen / Rajan Madhusudan vs Catherine Leedy / Jonathan Howe6-3, 6-2
2022-03-13Won 2–0
W#1 DoublesLei Zhu / Paritosh Saxena vs Kathi Gray / Shirish Patel6-2, 6-2
W#3 DoublesJian Xu / Shawn Boyce vs Karen Groenweghe / David Lee6-3, 6-2
2022-03-04Won 2–0
W#1 DoublesJill Boyce / Paritosh Saxena vs Catherine Lofts / Simon Lofts6-2, 6-0
W#3 DoublesSteven Harrison / Aleli Siruno vs Patrick Kirk / Lauren Smith6-2, 6-2
2022-02-19Won 3–0
W#1 DoublesLei Zhu / Paritosh Saxena vs Sundar Ramamurthy / Megan Clifford6-2, 7-6
W#2 DoublesShawn Boyce / Lyann Nguyen vs David Williams / Rochelle Pluymers6-0, 6-3
W#3 DoublesJian Xu / Sheldon Sun vs Jing Feng / Alan Liang6-1, 6-4
2022-02-05Won 2–1
W#1 DoublesParitosh Saxena / Lei Zhu vs Martin Jeffrey Binns / Janine Wood6-0, 6-4
W#2 DoublesShawn Boyce / Lyann Nguyen vs Kari Hastings / Quyen Wong6-2, 6-3
L#3 DoublesHoon Shin / Aleli Siruno vs Kathy Ramsey / Christopher Shaw6-2, 6-2
2022-01-30Won 2–1
L#1 DoublesShawn Boyce / Jian Xu vs Hoyun Barr / Michael Won6-2, 2-6, 1-0
W#2 DoublesRajan Madhusudan / Helen Chen vs Robin Burak / Kevin Muck6-3, 6-2
W#3 DoublesJeff Wheeler / Jill Boyce vs Suzy Rylander / Stephen Crook3-6, 6-4, 1-0
2022-01-23Won 2–1
W#1 DoublesLei Zhu / Paritosh Saxena vs Sam Lumetta / Brenna Dramov6-2, 6-2
W#2 DoublesJian Xu / Sheldon Sun vs Rob Dramov / Autumn Bunch6-2, 6-4
L#3 DoublesShoully Mendyke / Jeff Wheeler vs Brad Johnson / Nancy Korenek-Leveque6-2, 6-4
2022-01-15Lost 0–3
L#1 DoublesShawn Boyce / Lyann Nguyen vs Dan Bingham / Michelle Beilstein6-2, 6-7, 1-0
L#2 DoublesRajan Madhusudan / Helen Chen vs David Swanson / Paula Watt6-3, 6-4
L#3 DoublesHoon Shin / Seungja Shin vs Mike Booth / Kiersten Lake6-4, 6-2
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
Paritosh Saxena
35W–31L career
10%90%0%
3.64
4
Seungja Shin
86W–64L career
14%86%0%
3.60
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
Jeff Wheeler
30W–51L career
4%96%1%
3.22
3.5
Jill Boyce
148W–90L career
3%97%0%
3.19
3.5
Hoon Shin
112W–53L career
13%87%0%
3.13
3.5
Rajan Madhusudan
94W–79L career
13%87%0%
3.09
3
Steven Harrison
45W–35L career
not enough data
—
0
Shoully Mendyke
31W–16L 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.