Teams

WRossi (Blakeney)

2022 Singles 40 & Over League · 40 & Over Singles 3.0 Women

8 players · average NTRP 3.50 / NORTH CAROLINA

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Schedule7 played
2022-07-28vs TBlankenship (PCC)Lost 12
L#1 SinglesRachel Grantham vs Brandi Marks3-3
L#2 SinglesVirginia Katzen vs Ashley Sofsian2-6, 2-6
W#3 SinglesMichelle Ludwiczak vs Maggie Webb6-0, 6-1
2022-07-27vs VTolson (Firethorne)Lost 01
L#2 SinglesVirginia Katzen vs Julianne Gray3-6, 6-1, 0-1
2022-07-18Won 10
W#1 SinglesRachel Grantham vs Erika Canon6-3, 6-3
2022-06-29Won 10
W#2 SinglesVirginia Katzen vs Stacey Lee6-4, 6-1
2022-06-22vs MLeisure (Queens)Won 10
W#2 SinglesMichelle Ludwiczak vs Melissa Leisure6-3, 3-6, 1-0
2022-06-15vs TAmos/VSofarelli (Weddington)Won 10
W#1 SinglesRachel Grantham vs Tracy Amos6-1, 6-0
2022-06-01vs TBlankenship (PCC)Won 10
W#2 SinglesVirginia Katzen vs Kim Garner6-4, 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.

Flight standings for 40 & Over Singles 3.0 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 3.06 estimated across 7 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.

3.54
Rachel Grantham
usually #1 Singles 100% · published 3.5
3.32
Michelle Ludwiczak
usually #3 Singles 67%, also #2 Singles 33% · published 3.5
3.14
Virginia Katzen
usually #2 Singles 100% · published 3.5
3.13
3.13
Wendy Rossi
published
2.63
Reshmi Santhosh
published
2.52
Shikha Agrawal
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.

Rachel Grantham + Michelle Ludwiczak6172% gamesnot enough data
Virginia Katzen + Michelle Ludwiczak5259% gamesnot enough data
Rachel Grantham + Virginia Katzen5062% gamesnot 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
Rachel Grantham
160W–60L career · 3 lines in 2022
<1%38%62%
3.54
3.5
Michelle Ludwiczak
92W–72L career · 3 lines in 2022
1%91%8%
3.32
3.5
Anita Stewart-Stover
6W–10L career · no lines in 2022
not enough data
3.5
Virginia Katzen
61W–53L career · 4 lines in 2022
14%86%<1%
3.14
Maria del Mar Vazquez
23W–10L career · no lines in 2022
16%84%<1%
3.13
Wendy Rossi
10W–17L career · no lines in 2022
17%83%<1%
3.13
Reshmi Santhosh
3W–5L career · no lines in 2022
17%83%<1%
2.63
Shikha Agrawal
6W–15L career · no lines in 2022
45%55%<1%
2.52

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.