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PTC-Swartley/Strange

2023 Adult 40 & Over · 4.0 Women

8 players · average NTRP 4 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.71 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.

3.79
Patty Kleckner
usually #2 Doubles 100% · published 4
3.75
Jin Velasco
usually #2 Doubles 33%, also #1 Doubles 33% · published 4
3.75
Angie Stromquist
usually #1 Doubles 63%, also #3 Doubles 25% · published 4
—
Sandi Bittler
usually #2 Doubles 50%, also #3 Doubles 20% · published 4
3.74
Colleen Nolan
usually #1 Singles 40%, also #3 Doubles 40% · published 4
3.72
Christy Strange
usually #1 Doubles 60%, also #3 Doubles 20% · published 4
3.70
Mary Klinger
usually #1 Singles 50%, also #1 Doubles 50% · published 4
3.54
Leah Buxman
usually #1 Doubles 83%, also #2 Doubles 17% · published 4
Results8 ties
2023-06-17Won 2–0
W#1 DoublesLeah Buxman / Mary Klinger vs Julie Brown / Irena Ilcheva7-6, 3-6, 1-0
W#1 SinglesJin Velasco vs Marie Dorsey6-1, 6-2
2023-06-11Won 2–1
L#1 DoublesMary Klinger / Jin Velasco vs Rebecca Martinez Griffin / Deborah Naugler6-4, 7-6
W#2 DoublesSandi Bittler / Patty Kleckner vs Andrea Robertson / Kathleen Goodfriend2-6, 6-4, 1-0
W#3 DoublesAngie Stromquist / Colleen Nolan vs N/A6-0, 6-0
2023-06-04Lost 1–2
L#1 DoublesLeah Buxman / Christy Strange vs Mary Green-Zwemke / Sammy Bui6-2, 6-3
W#1 SinglesMary Klinger vs Ren Toshié Miura6-4, 6-7, 1-0
L#2 DoublesSandi Bittler / Angie Stromquist vs Kayleen Mendenhall / Amy Bucher5-7, 6-0, 1-0
2023-05-21Won 2–0
W#1 DoublesLeah Buxman / Christy Strange vs Carrie Fisher / Cheryl Roloff3-6, 6-3, 1-0
W#1 SinglesColleen Nolan vs Ellen Bowman6-2, 6-0
2023-05-13Won 3–1
L#1 DoublesKirsten Holmes / Mary Klinger vs Nikki Metcalf / Michaela Bancud6-3, 7-5
W#1 SinglesSandi Bittler vs Jean Herbst7-5, 6-4
W#2 DoublesLeah Buxman / Christy Strange vs Kim Spathas / Kelly Miller6-3, 6-2
W#3 DoublesColleen Nolan / Sara van Beckum vs Tara Hendrickson / Jeanette Thomas6-2, 7-5
2023-05-07Won 2–0
W#1 DoublesLeah Buxman / Christy Strange vs Kristin de Baldo / Nikki Nadig3-6, 6-3, 1-0
W#2 DoublesColleen Nolan / Sandi Bittler vs Julie Atchley / Theresa Mallari7-6, 6-2
2023-04-23Won 4–0
W#1 DoublesKirsten Holmes / Angie Stromquist vs Katherine Kralj / Jennie Brawn4-6, 6-2, 1-0
W#1 SinglesColleen Nolan vs Erin Hill6-1, 6-3
W#2 DoublesJin Velasco / Marie Sellke vs Crystal Bryant / Penny Birkhofer6-2, 6-3
W#3 DoublesChristy Strange / Kaie Wellman vs Lisa Clevenger / Barbara Seatter6-4, 7-5
2023-04-16Lost 1–2
L#1 DoublesLeah Buxman / Courtney Storrs vs Rebecca Martinez Griffin / Deborah Naugler6-1, 6-1
L#2 DoublesSandi Bittler / Patty Kleckner vs Andrea Robertson / Lisa Lyon6-2, 7-6
W#3 DoublesSara van Beckum / Angie Stromquist vs Linda Paulk / Char Riley6-3, 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
Patty Kleckner
55W–23L career
0%99%0%
3.79
4
Jin Velasco
69W–35L career
6%91%4%
3.75
4
Angie Stromquist
92W–47L career
1%98%0%
3.75
4
Sandi Bittler
34W–50L career
not enough data
—
4
Colleen Nolan
177W–79L career
1%99%0%
3.74
4
Christy Strange
89W–67L career
1%98%0%
3.72
4
Mary Klinger
221W–142L career
2%98%0%
3.70
4
Leah Buxman
113W–106L career
23%77%0%
3.54

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.