Teams

DFerguson (Life Time)

2023 Adult 40 & Over League · 40 & Over Adult 3.5 Women

13 players · average NTRP 3.50 / NORTH CAROLINA

View scouting list →
Schedule4 played
2023-05-08vs EBrandon (WSRC)Lost 01
L#2 DoublesKaren Papaleo / Ofelia Claxton vs Whitney D'Allaird / Jennifer Shirley1-6, 4-6
2023-04-10vs KCox (MPCC)Won 10
W#2 DoublesOfelia Claxton / Wendi Peters vs Kathryn Ford / Jennifer Farrell6-4, 6-3
2023-04-04vs KBorans/JZarambo (WSRC)Won 10
W#2 DoublesOfelia Claxton / Karen Papaleo vs Kimberly Borans / Melissa House6-1, 6-1
2023-03-06vs BMarks (Providence CC)Lost 01
L#1 DoublesDana Ferguson / Ofelia Claxton vs Sharon Dolan / Reena Chow6-7, 2-6
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 3.23 estimated across 13 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.

3.46
Latha Baddigam
published 3.5
3.46
Melissa Eccleston
published 3.5
3.35
Susan Knowlton
published
3.31
Dana Ferguson
published 3.5
3.27
Lea Powell
published
3.23
Ofelia Claxton
usually #2 Doubles 50%, also #3 Doubles 30% · published 3.5
3.22
3.20
Wendi Peters
published
3.17
Kimberly Warpula
published
3.12
Anita Dowker
published 3.5
3.08
Jennifer McNally
published
3.06
Karen Papaleo
published
3.03
Alexis Galbreath
published 3.5
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.

Jennifer McNally + Melissa Eccleston4650% games+11.4% vs expected
Melissa Eccleston + Latha Baddigam7359% gamesnot enough data
Dana Ferguson + Ofelia Claxton224 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
Latha Baddigam
63W–41L career · no lines in 2023
<1%61%39%
3.46
3.5
Melissa Eccleston
37W–26L career · no lines in 2023
<1%63%37%
3.46
Susan Knowlton
6W–8L career · no lines in 2023
1%85%14%
3.35
3.5
Dana Ferguson
26W–26L career · no lines in 2023
1%90%8%
3.31
Lea Powell
7W–8L career · no lines in 2023
<1%3%97%
3.27
3.5
Ofelia Claxton
125W–107L career · 10 lines in 2023
5%92%3%
3.23
Stephanie Augenstein
0W–5L career · no lines in 2023
98%2%<1%
3.22
Wendi Peters
3W–3L career · no lines in 2023
8%91%2%
3.20
Kimberly Warpula
2W–4L career · no lines in 2023
12%87%1%
3.17
3.5
Anita Dowker
1W–10L career · no lines in 2023
20%80%<1%
3.12
Jennifer McNally
15W–14L career · no lines in 2023
<1%29%71%
3.08
Karen Papaleo
8W–9L career · no lines in 2023
0%<1%>99%
3.06
3.5
Alexis Galbreath
1W–7L career · no lines in 2023
41%59%<1%
3.03

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.