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VTC-Olson

2023 Mixed 55 & Over · 7.0 Mixed

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

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Scouting

Roster averages 3.27 estimated across 10 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.

3.71
Nenette Olson
usually #1 Doubles 100% · published 4
3.62
Kevin Muck
usually #1 Doubles 57%, also #2 Doubles 29% · published 4
3.61
Susan Ford
usually #3 Doubles 50%, also #1 Doubles 50% · published 4
3.42
Karen Pickering
usually #2 Doubles 71%, also #3 Doubles 14% · published 3.5
3.39
Cheryl Geisler
usually #2 Doubles 100% · published 3.5
3.32
John Hapke
usually #2 Doubles 80%, also #3 Doubles 20% · published 3.5
3.25
Wei Pan
published 3.5
2.99
Maryann Velez
usually #1 Doubles 50%, also #3 Doubles 25% · published 3
2.70
Mike Olson
usually #1 Doubles 88%, also #2 Doubles 13% · published 3
2.65
Todd Berinstein
usually #3 Doubles 50%, also #1 Doubles 50% · published 3
Results8 ties
2023-05-21Won 2–0
W#1 DoublesKevin Muck / Robin Burak vs Paula Conway / Jim Fisher7-6, 6-7, 1-0
W#2 DoublesJohn St Claire / Maryann Velez vs Janice Ackley / Rick Davis6-0, 6-1
2023-05-06Split 1–1
W#1 DoublesRobin Burak / Kevin Muck vs Cori Pierce / Ryan Owens6-7, 7-5, 1-0
L#2 DoublesJohn Hapke / Cheryl Geisler vs Nicola Ash / Nick Hooker7-5, 5-7, 1-0
2023-04-30Lost 1–2
L#1 DoublesMike Olson / Nenette Olson vs Jerome Deluz / Nora Semonsen6-2, 6-2
L#2 DoublesJohn Hapke / Rochelle Pluymers vs David Oh / Kristi Vargas6-3, 6-4
W#3 DoublesKevin Muck / Robin Burak vs Kevin Semonsen / Marianne Conroy6-4, 6-2
2023-04-29Won 2–0
W#1 DoublesMike Olson / Nenette Olson vs Steve Sanford / Kerry Sanford6-3, 6-4
W#3 DoublesJohn Hapke / Rochelle Pluymers vs Cheryl Roloff / Jim Mounts6-3, 6-4
2023-04-16Won 2–0
W#1 DoublesJohn St Claire / Maryann Velez vs Bruce Trubo / Betty Trubo6-1, 6-4
W#2 DoublesJohn Hapke / Cheryl Geisler vs Mary Beth Thomsen / Les Wellman6-3, 6-2
2023-04-15Won 2–1
W#1 DoublesJohn St Claire / Maryann Velez vs Robert Piercy / Julie Arness6-4, 7-6
W#2 DoublesJohn Hapke / Cheryl Geisler vs Richard Clark / Michele Waite4-6, 6-4, 1-0
L#3 DoublesLarry Liu / Karen Pickering vs Kevin Sullivan / Tuni Stecker6-4, 2-6, 1-0
2023-04-08Won 2–1
L#1 DoublesSusan Ford / Todd Berinstein vs Vivian Nguyen / John Yu6-3, 6-1
W#2 DoublesRobin Burak / Kevin Muck vs Hideko Kershaw / Manoj Pandya6-3, 3-6, 1-0
W#3 DoublesJohn St Claire / Maryann Velez vs Jackie Konen / James Lawrence6-3, 6-2
2023-04-02Lost 1–2
W#1 DoublesNenette Olson / Mike Olson vs Maritess Mayer / Frank Foti7-6, 2-6, 1-0
L#2 DoublesKaren Pickering / Larry Liu vs Ann Kitchen / Andrew Kitchen2-6, 7-6, 1-0
L#3 DoublesSusan Ford / Todd Berinstein vs Susan Bradley / Tony Moreno6-1, 6-1
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
Nenette Olson
122W–164L career
2%98%0%
3.71
4
Kevin Muck
64W–90L career
9%91%0%
3.62
4
Susan Ford
38W–107L career · type S
11%89%0%
3.61
3.5
Karen Pickering
156W–123L career
0%95%5%
3.42
3.5
Cheryl Geisler
124W–100L career
0%97%3%
3.39
3.5
John Hapke
81W–77L career
0%97%2%
3.32
3.5
Wei Pan
18W–23L career · type M
2%97%1%
3.25
3
Maryann Velez
81W–49L career
0%83%17%
2.99
3
Mike Olson
68W–92L career
7%92%1%
2.70
3
Todd Berinstein
18W–44L career
7%93%0%
2.65

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.