Teams

SHC-Polo/Christensen

2019 Mixed 40 & Over · 7.0 Mixed

9 players · average NTRP 3.44 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.23 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.

3.92
Andrea Findley
usually #1 Doubles 50%, also #2 Doubles 25% · published 4
3.32
John van Leeuwen
usually #3 Doubles 50%, also #1 Doubles 50% · published 3.5
3.32
Tami Socolofsky
usually #1 Doubles 33%, also #2 Doubles 33% · published 3.5
Dan Bingham
usually #2 Doubles 67%, also #3 Doubles 33% · published 3.5
3.13
Kim Christensen
usually #1 Doubles 100% · published 3.5
3.09
Bert Berends
usually #1 Doubles 33%, also #2 Doubles 33% · published 3.5
2.99
Dan Wendling
usually #3 Doubles 100% · published 3.5
2.87
Amy Thomas
usually #3 Doubles 50%, also #1 Doubles 50% · published 3
Les Wellman
usually #1 Doubles 67%, also #2 Doubles 33% · published 3
Results8 ties
2019-03-10Lost 03
L#1 DoublesAmy Thomas / Oscar Polo vs Michele Snyder / Martin Jeffrey Binns6-1, 7-6
L#2 DoublesChanon Ogden / Dan Bingham vs Tami McAra / Charles Eastwood4-6, 6-4, 1-0
L#3 DoublesTami Socolofsky / Dan Wendling vs Linda Binns / Warren Olsen6-4, 3-6, 1-0
2019-02-22Lost 03
L#1 DoublesKim Christensen / Bill Christensen vs Weizhen Guo / Tony Moreno7-5, 6-4
L#2 DoublesTami Socolofsky / Eric Anderson vs Aleli Siruno / Craig Walker6-2, 6-1
L#3 DoublesChristine Keefer / Dan Wendling vs Lyann Nguyen / Shawn Boyce6-2, 6-2
2019-02-09Won 20
W#1 DoublesLes Wellman / Mary Beth Thomsen vs Barbara Ferre / Paul Burkhart6-3, 6-4
W#3 DoublesDan Bingham / Chanon Ogden vs Lori Vranizan / Edward Vranizan7-6, 6-0
2019-02-01Won 30
W#1 DoublesTami Socolofsky / John van Leeuwen vs Maryam Farinola / Dean Waters6-3, 7-5
W#2 DoublesLes Wellman / Mary Beth Thomsen vs Suzanne Friedman / Simon Lofts6-3, 6-2
W#3 DoublesChristine Keefer / Dan Wendling vs Maritess Mayer / Rick Ward6-3, 6-0
2019-01-19Won 20
W#1 DoublesAmy Thomas / Oscar Polo vs Rolf Ellingsen / Heidi Kjos6-1, 6-1
W#3 DoublesAndrea Findley / Bert Berends vs Steve Thunstedt / Tamara Phillips6-1, 6-1
2019-01-18Lost 02
L#2 DoublesBert Berends / Andrea Findley vs Theresa Fichter / Charles Taguet7-5, 6-2
L#3 DoublesAmy Thomas / Oscar Polo vs Patty Chen / Hoover Li6-3, 6-3
2019-01-06Won 30
W#1 DoublesMary Beth Thomsen / Les Wellman vs Hideko Kershaw / Kazuhito Tohnoe7-5, 6-1
W#2 DoublesDan Bingham / Pat Berends vs Edmund Yuan / Shwumeei Jou1-6, 6-1, 1-0
W#3 DoublesChanon Ogden / John van Leeuwen vs Frank Shen / Cynthia Ross-Brockett6-0, 6-3
2019-01-05Split 11
L#1 DoublesPat Berends / Bert Berends vs Gabriel Weaver / Erin Prince6-2, 4-6, 1-0
W#3 DoublesMike Mullen / Amy Thomas vs Tom Clemente / Jane Pinkowski6-2, 6-3
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
Andrea Findley
95W–44L career
0%91%9%
3.92
3.5
John van Leeuwen
55W–55L career
2%92%6%
3.32
3.5
Tami Socolofsky
31W–36L career
2%92%6%
3.32
3.5
Dan Bingham
46W–43L career
not enough data
3.5
Kim Christensen
41W–43L career
17%82%1%
3.13
3.5
Bert Berends
14W–37L career
23%76%0%
3.09
3.5
Dan Wendling
52W–43L career
39%61%0%
2.99
3
Amy Thomas
27W–46L career
1%89%10%
2.87
3
Les Wellman
43W–42L 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.