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SAC-Sun/Boyce (6.0)

2022 Mixed 40 & Over · 6.0 Mixed

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

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Scouting

Roster averages 3.21 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.

3.64
Martin von Haartman
usually #1 Doubles 40%, also #2 Doubles 40% · published 4
3.60
Eddie Shin
usually #2 Doubles 75%, also #1 Doubles 25% · published 4
3.37
Kim Tellin
usually #1 Doubles 67%, also #2 Doubles 33% · published 3.5
3.27
Shawn Boyce
usually #1 Doubles 33%, also #2 Doubles 33% · 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
3.05
WonKyu Kim
usually #3 Doubles 40%, also #1 Doubles 40% · published 3.5
2.92
Todd McConachie
usually #3 Doubles 50%, also #2 Doubles 50% · published 3
2.73
Melissa Tom
usually #1 Doubles 60%, also #2 Doubles 20% · published 3
Results8 ties
2022-03-18Won 3–0
W#1 DoublesMartin von Haartman / Jill Boyce vs Mihee Park / JIN PARK6-0, 6-7, 1-0
W#2 DoublesKim Tellin / Eddie Shin vs Misug Kim / Daniel M Kim4-6, 6-3, 1-0
W#3 DoublesWonKyu Kim / Lei Zhu vs Hyekyeong Kim / Jason Lee7-5, 6-3
2022-03-13Won 3–0
W#1 DoublesWonKyu Kim / Susan Elmer vs Crystal Ounaphom / Kevin Grainger6-0, 6-0
W#2 DoublesTodd McConachie / Lisa McConachie vs Minnie Bautista / Ronald Skoletsky6-1, 6-4
W#3 DoublesShawn Boyce / Melissa Tom vs Alana Miner / Keith Mosbrucker6-3, 6-1
2022-03-06Won 3–0
W#1 DoublesMelissa Tom / Sheldon Sun vs Christine Bennett-Hanes / Scott Vanderhoff2-6, 7-6, 1-0
W#2 DoublesLei Zhu / Eddie Shin vs Caroline Popma / Robert Bennett-Hanes7-5, 6-2
W#3 DoublesJill Boyce / Martin von Haartman vs Sarah Robertson / Greg Popma6-2, 6-1
2022-02-19Won 3–0
W#1 DoublesKim Tellin / WonKyu Kim vs Seth Yount / Yan Morrissey6-2, 6-1
W#2 DoublesJill Boyce / Martin von Haartman vs Jeff Kennedy / Marina Song6-0, 6-1
W#3 DoublesHoon Shin / Lei Zhu vs Debora Cox / Paul Preston6-0, 6-0
2022-02-11Won 2–1
W#1 DoublesEddie Shin / Kim Tellin vs Andrea Kropp / Karl Kropp6-1, 6-2
W#2 DoublesSheldon Sun / Melissa Tom vs Erin Smiley / ALFREDO ALANIS6-4, 1-6, 1-0
L#3 DoublesShawn Boyce / Cyndi Peck vs Andrew Geisler / Heidi Kjos3-6, 6-1, 1-0
2022-01-29Won 3–0
W#1 DoublesShawn Boyce / Melissa Tom vs Tiffany Bowie / Joe Malboeuf7-6, 2-6, 1-0
W#2 DoublesJill Boyce / Eddie Shin vs Elliott Gansner / Teufelin Traylen6-3, 6-1
W#3 DoublesHoon Shin / Lei Zhu vs Kimbra Kasch / Lars Kasch6-4, 6-0
2022-01-15Won 3–0
W#1 DoublesMelissa Tom / Sheldon Sun vs Nathan Ayotte / Elizabeth Ayotte6-3, 6-0
W#2 DoublesSusan Elmer / Martin von Haartman vs Brendan Finn / Edwardeen Hilts6-0, 6-0
W#3 DoublesLei Zhu / WonKyu Kim vs John Phillips / Sally Papadimas6-1, 6-3
2022-01-09Won 3–0
W#1 DoublesMartin von Haartman / Jill Boyce vs Matt Savage / Hoyun Barr6-2, 6-1
W#2 DoublesLei Zhu / WonKyu Kim vs Steven Darling / Teresa Darling6-1, 6-1
W#3 DoublesTodd McConachie / Lisa McConachie vs Virginia Martinez / Rodrigo Martinez6-4, 3-6, 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.

4
Martin von Haartman
140W–50L career
7%93%0%
3.64
4
Eddie Shin
44W–16L career
14%86%0%
3.60
3.5
Kim Tellin
110W–71L career
0%97%2%
3.37
3.5
Shawn Boyce
170W–125L career
0%99%0%
3.27
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
WonKyu Kim
78W–64L career
22%78%0%
3.05
3
Todd McConachie
51W–47L career
0%92%8%
2.92
3
Melissa Tom
39W–38L career
2%98%0%
2.73

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.