Teams

Williams

2022 NOGTA USTA Adult 18 & Over - Spring · Women 3.5

11 players · average NTRP 3.38 / GEORGIA

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →
Schedule5 played
2022-03-27vs NOGTA/Michelle RauchLost 01
L#1 DoublesDebi Williams / Kim Lamb vs Alison Robinson / Angie Cowart0-6, 1-6
2022-03-24vs NOGTA/Michelle RauchSplit 11
W#1 DoublesMargie DeShon / Becky George vs Michelle Rauch / Heather Tuttle6-4, 6-3
L#3 DoublesKim Lamb / Debi Williams vs Linda Benton / Ashley Sorrow2-6, 4-6
2022-03-10vs NOGTA/Michelle RauchSplit 11
L#1 DoublesMargie DeShon / Renee Brown vs Renee McClanahan / Betsy Wilson0-6, 2-6
W#3 DoublesKim Lamb / Becky George vs Michelle Larson / Angie Cowart7-6, 6-0
2022-03-03vs NOGTA/Michelle RauchWon 10
W#1 DoublesKim Lamb / Margie DeShon vs Anita Decosimo / Emily Bagley6-4, 6-1
2022-02-24vs NOGTA/Michelle RauchLost 01
L#3 DoublesDebi Williams / Kim Lamb vs Linda Benton / Heather Tuttle1-6, 1-6
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 Women 3.5 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 3.22 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.

3.59
Sarah Haney
published
3.55
Becky George
published 4
3.51
Kim Lamb
usually #3 Doubles 60%, also #1 Doubles 40% · published 3.5
3.39
Lynne Barkeloo
published
3.15
Renee Brown
published
2.98
Carol Martinez
published 3
2.85
Debi Williams
published 3
2.70
Simone Ford
published
Kim Nance
published
Margie DeShon
usually #1 Doubles 100% · published
Molly Lambert
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.

Simone Ford + Debi Williams6260% games+16.8% vs expected
Becky George + Kim Lamb6067% games−0.9% vs expected
Kim Lamb + Margie DeShon5258% gamesnot enough data
Carol Martinez + Debi Williams134 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.

Sarah Haney
38W–17L career · no lines in 2022
<1%24%76%
3.59
4
Becky George
35W–10L career · no lines in 2022
34%66%<1%
3.55
3.5
Kim Lamb
215W–88L career · 5 lines in 2022
<1%48%52%
3.51
Lynne Barkeloo
88W–41L career · no lines in 2022
<1%80%20%
3.39
Renee Brown
18W–15L career · no lines in 2022
12%88%<1%
3.15
3
Carol Martinez
55W–25L career · no lines in 2022
<1%56%44%
2.98
3
Debi Williams
30W–39L career · no lines in 2022
<1%88%12%
2.85
Simone Ford
14W–13L career · no lines in 2022
6%93%1%
2.70
Kim Nance
1W–1L career · no lines in 2022
not enough data
Margie DeShon
203W–156L career · 3 lines in 2022
not enough data
Molly Lambert
8W–11L career · no lines in 2022
not enough data

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.