← Teams

MAC-Luthi/Pickard

2024 Adult 40 & Over · 4.0 Women

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

View scouting list →
Scouting

Roster averages 3.64 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.

3.87
Darci Keljo
usually #1 Doubles 100% · published 4
3.76
Courtney Pierce
published 4
—
June Kim
usually #1 Doubles 100% · published 4
—
Kim Stevens
usually #1 Doubles 67%, also #3 Doubles 33% · published 4
—
Michaela Bancud
usually #3 Doubles 100% · published 4
3.67
Linda Lovett
usually #2 Doubles 50%, also #3 Doubles 25% · published 4
3.62
Laura Luthi
usually #1 Doubles 50%, also #2 Doubles 25% · published 4
3.61
Geraldine Carter
usually #3 Doubles 50%, also #1 Doubles 50% · published 4
3.58
Heidi Wilcox
usually #2 Doubles 100% · published 4
3.58
Catherine Go
usually #3 Doubles 67%, also #2 Doubles 33% · published 4
3.43
Terri Pickard
usually #2 Doubles 40%, also #3 Doubles 40% · published 4
Results8 ties
2024-06-23Won 3–0
W#1 DoublesDarci Keljo / Geraldine Carter vs Ariana White / Kate Jackson6-3, 6-1
W#2 DoublesLinda Lovett / Megan Meagher vs Ann Lasocki / Claire Adamsick6-1, 6-1
W#3 DoublesCatherine Go / Kim Stevens vs Erin Casey / Morgan Cowling6-4, 6-2
2024-06-15Won 2–0
W#1 DoublesElizabeth Lilly / Kim Stevens vs Kaie Wellman / Nenette Olson6-4, 6-4
W#3 DoublesTerri Pickard / Laura Luthi vs Claire Adamsick / Ann Lasocki5-7, 6-2, 1-0
2024-06-07Lost 1–2
L#1 DoublesMegan Meagher / Linda Lovett vs Kristin Spear / Kristie Leake6-1, 6-2
L#2 DoublesTerri Pickard / Sheila Anderson vs Molly Shum / Bo Yu6-2, 6-3
W#3 DoublesGeraldine Carter / Elizabeth Lilly vs Aleli Siruno / Seungja Shin6-4, 1-6, 1-0
2024-06-02Split 1–1
W#1 DoublesLaura Luthi / Claire Bell vs Joanne Reardon / Terri Bashkingy6-0, 6-1
L#2 DoublesCatherine Go / Heidi Wilcox vs Rebecca Griffith / Rochelle Pluymers2-6, 7-5, 1-0
2024-05-17Split 1–1
W#1 DoublesKim Stevens / Elizabeth Lilly vs Beth Steffes / Julie Hanson7-5, 6-3
L#3 DoublesLinda Lovett / Jean Herbst vs Ellen Bowman / Cheryl Roloff5-7, 7-6, 1-0
2024-05-05Lost 1–2
W#1 DoublesLaura Luthi / Claire Bell vs Leslie Lynch / Leigh Anderson6-3, 6-4
L#2 DoublesSheila Anderson / Heidi Wilcox vs Emily McBride / Kris Kelly-Koster6-2, 6-1
L#3 DoublesMichaela Bancud / Terri Pickard vs Deborah Borchers / Cindy Rushall7-5, 6-1
2024-04-27Lost 0–2
L#1 DoublesTerri Pickard / June Kim vs Donna Roisom / Marie Picard1-6, 4-2
L#2 DoublesLinda Lovett / Laura Luthi vs Erin Hill / Michele Snyder6-3, 3-6, 1-0
2024-04-14Split 1–1
W#2 DoublesTerri Pickard / Sheila Anderson vs Judi Babcock / Karen McNairy6-2, 6-1
L#3 DoublesSally Lovett / Catherine Go vs Susan Suttich / Michele Heinrichson7-5, 6-4
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
Darci Keljo
55W–36L career
0%97%3%
3.87
4
Courtney Pierce
28W–24L career
2%97%1%
3.76
4
June Kim
20W–16L career
not enough data
—
4
Kim Stevens
56W–44L career
not enough data
—
4
Michaela Bancud
26W–50L career
not enough data
—
4
Linda Lovett
93W–105L career
4%96%0%
3.67
4
Laura Luthi
30W–28L career
10%90%0%
3.62
4
Geraldine Carter
29W–28L career
20%80%1%
3.61
4
Heidi Wilcox
86W–87L career
15%85%0%
3.58
4
Catherine Go
87W–77L career
18%82%0%
3.58
4
Terri Pickard
44W–44L career
52%48%0%
3.43

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.