Teams

DFerguson (Life Time)

2022 Adult 40 & Over League · 40 & Over Adult 3.5 Women

14 players · average NTRP 3.50 / NORTH CAROLINA

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Schedule3 played
2022-05-02vs KDorff (Ballantyne)Won 10
W#2 DoublesOfelia Claxton / Laura Difraia vs Kathleen Stepp / Terri Kletch7-6, 6-1
2022-04-11vs KCrane (Palisades)Won 10
W#2 DoublesOfelia Claxton / Laura Difraia vs Lisa Gregoire / Cindy Harty6-3, 7-6
2022-03-07vs BSwann (Pine Lake)Won 10
W#2 DoublesOfelia Claxton / Kim Wojnowich vs Van ONeill / Beth Hanrahan6-0, 6-2
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.

Flight standings for 40 & Over Adult 3.5 Women have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

ScoutingWhere each opponent usually plays

Signed-in extra: whether this captain plays strict strength order or mixes it up, from every doubles line they have put out. Create a free account to see it.

Roster averages 3.24 estimated across 14 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.

3.48
Kim Wojnowich
published 3.5
3.47
Latha Baddigam
published 3.5
3.41
Melissa Eccleston
published 3.5
3.33
Susan Knowlton
published
3.32
Dana Ferguson
published 3.5
3.29
Jennifer McNally
published
3.24
Anita Dowker
published 3.5
3.23
Ofelia Claxton
usually #2 Doubles 100% · published 3.5
3.23
Karen Papaleo
published
3.21
Wendi Peters
published
3.17
Kimberly Warpula
published
3.08
Eileen Cohen
published 3.5
3.02
Alexis Galbreath
published 3.5
2.83
Laura Difraia
published
Established pairs

Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.

Dana Ferguson + Kim Wojnowich4163% games+11.6% vs expected
Jennifer McNally + Melissa Eccleston7750% games+5.0% vs expected
Dana Ferguson + Ofelia Claxton2353% games+3.3% vs expected
Melissa Eccleston + Latha Baddigam7359% games+0.5% vs expected
Jennifer McNally + Latha Baddigam123 matchesnot enough data
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. Lines played in this team’s season are shown beside each name.

3.5
Kim Wojnowich
117W–52L career · no lines in 2022
<1%55%45%
3.48
3.5
Latha Baddigam
64W–41L career · no lines in 2022
<1%59%41%
3.47
3.5
Melissa Eccleston
37W–26L career · no lines in 2022
<1%76%23%
3.41
Susan Knowlton
11W–15L career · no lines in 2022
1%90%10%
3.33
3.5
Dana Ferguson
37W–43L career · no lines in 2022
1%91%8%
3.32
Jennifer McNally
23W–18L career · no lines in 2022
1%94%5%
3.29
3.5
Anita Dowker
9W–17L career · no lines in 2022
3%94%2%
3.24
3.5
Ofelia Claxton
126W–107L career · 3 lines in 2022
4%94%2%
3.23
Karen Papaleo
14W–12L career · no lines in 2022
4%94%2%
3.23
Wendi Peters
3W–3L career · no lines in 2022
5%94%1%
3.21
Kimberly Warpula
2W–4L career · no lines in 2022
10%89%<1%
3.17
3.5
Eileen Cohen
13W–19L career · no lines in 2022
27%73%<1%
3.08
3.5
Alexis Galbreath
7W–30L career · no lines in 2022
43%57%<1%
3.02
Laura Difraia
7W–11L career · no lines in 2022
90%10%<1%
2.83

Three percentages are where each player stands right now: the chance they are below their band, inside it, or above it, on the way they are playing this season. The number on the right is our estimated dynamic rating, which USTA never publishes. This is today rather than a forecast of December, because a forecast has to assume future matches and cannot know whether someone will even be offered them. 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.

Not affiliated with or endorsed by the USTA. Ratings labelled as published are USTA year-end figures; anything we describe as an estimate is ours, not USTA’s. Match data is from USTA TennisLink.