MAC-Lovett

2023 Adult 55 & Over · 8.0 Women

10 players · average NTRP 3.89 · USTA/PACIFIC NW / NORTHERN OREGON

Scouting

Roster averages 3.44 estimated across 6 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.

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Kim Stevens

usually #2 Doubles 67%, also #1 Doubles 33% · published 4

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Lori Bernhardt

usually #2 Doubles 67%, also #3 Doubles 33% · published 4

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Susie Jansky

usually #2 Doubles 75%, also #3 Doubles 25% · published 4

3.67

Linda Lovett

usually #1 Doubles 67%, also #2 Doubles 33% · published 4

3.58

Heidi Wilcox

usually #1 Doubles 67%, also #2 Doubles 33% · published 4

3.58

Catherine Go

usually #2 Doubles 40%, also #1 Doubles 40% · published 4

3.43

Terri Pickard

usually #2 Doubles 50%, also #1 Doubles 33% · published 4

3.24

Dana McKillop

usually #3 Doubles 100% · published 3.5

3.12

Diana Callaway

usually #3 Doubles 100% · published 3.5

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Katy Marcy

usually #1 Doubles 100% · published 0

Results7 ties

2022-11-18Lost 1–2

W#1 DoublesKaty Marcy / Terri Pickard vs Liz DelPlato / Katherine Kralj1-6, 6-4, 1-0

L#2 DoublesLori Bernhardt / Susie Jansky vs Misty Bettis / Cathryn Hansen6-4, 6-4

L#3 DoublesDiana Callaway / Sara Salvi vs Donna Roisom / Michele Snyder6-1, 6-3

2022-11-12Won 2–0

W#1 DoublesCatherine Go / Heidi Wilcox vs Susan Ford / Bo Yu4-6, 6-2, 1-0

W#2 DoublesKim Stevens / Susie Jansky vs Molly Odonnell / Irena Ilcheva4-6, 6-3, 1-0

2022-10-30Won 3–0

W#1 DoublesKim Stevens / Katy Marcy vs Susan Agee / Jill Derry7-6, 6-7, 1-0

W#2 DoublesLori Bernhardt / Brenda Bonnell vs Sue Edmonds / Terri Bashkingy2-6, 6-1, 1-0

W#3 DoublesDiana Callaway / Sara Salvi vs N/A6-0, 6-0

2022-10-21Won 3–0

W#1 DoublesHeidi Wilcox / Linda Lovett vs Colleen Hamilton / Tara Guimont6-4, 6-1

W#2 DoublesSally Lovett / Terri Pickard vs Denise Angel / Frederique Lavios6-0, 6-2

W#3 DoublesBrenda Bonnell / Lori Bernhardt vs N/A6-0, 6-0

2022-10-09Split 1–1

L#1 DoublesBrenda Bonnell / Catherine Go vs Susan Agee / Kristin de Baldo6-4, 3-6, 1-0

W#2 DoublesSusie Jansky / Kim Stevens vs Terri Bashkingy / Sandra Seyler6-2, 6-4

2022-10-08Lost 1–2

L#1 DoublesLinda Lovett / Terri Pickard vs Judith Kobin / Claire Thayer6-1, 6-3

W#2 DoublesSally Lovett / Heidi Wilcox vs Lynn Moore / Naomi Steinberg6-3, 4-6, 1-0

L#3 DoublesDana McKillop / Susie Jansky vs Sue Harrison / Mary Lowblad6-3, 6-4

2022-09-30Lost 1–2

L#1 DoublesPam Saftler / Katy Marcy vs Cathryn Hansen / Katherine Kralj7-5, 6-2

W#2 DoublesLinda Lovett / Terri Pickard vs Linda Binns / Nenette Olson6-1, 6-3

L#3 DoublesDiana Callaway / Dana McKillop vs Donna Roisom / Michele Snyder6-1, 6-4

A tie can be incomplete. Tell us if someone is missing.

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.

Kim Stevens

56W–44L career

not enough data

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Lori Bernhardt

28W–38L career

not enough data

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Susie Jansky

53W–45L career

not enough data

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Linda Lovett

93W–105L career

4%96%0%

3.67

Heidi Wilcox

86W–87L career

15%85%0%

3.58

Catherine Go

87W–77L career

18%82%0%

3.58

Terri Pickard

44W–44L career

52%48%0%

3.43

3.5

Dana McKillop

23W–65L career

1%98%0%

3.24

3.5

Diana Callaway

7W–35L career

13%87%0%

3.12

Katy Marcy

28W–21L career

not enough data

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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.