Teams

Nair/Memphis

2023 Adult 40 & Over-Memphis · 3.5 Women 40 & over

19 players · average NTRP 3.10 / TENNESSEE

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 →

Flight standings for 3.5 Women 40 & over 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 2.82 estimated across 15 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.

3.25
3.11
Dana Stout
published 3.5
3.04
Ping Zhou
published
2.98
Melinda Boudreau
published
2.88
Cathy Poulin
published 3
2.86
Tarshian Moon
published
2.82
Susan Northen-Lacy
published
2.80
Deepa Nair
published 3
2.80
Roz Wallace
published
2.77
Patricia Harris
published
Angela McClusky
published 3
Catherine Hurdle
published 3
2.66
Letitia Phillips
published
2.62
Kathye Sbravati
published
2.60
Susan Kruchten
published
2.56
Monica Gallimore
published
2.48
Theresa Carayiannis
published
Kimberly Pesce
published
Pamela Pierski
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.

Roz Wallace + Melinda Boudreau2352% games−0.4% vs expected
Deepa Nair + Letitia Phillips3551% games−6.4% vs expected
Susan Northen-Lacy + Ping Zhou2448% gamesnot enough data
Deepa Nair + Cathy Poulin314 matchesnot enough data
Maricela Robles-Murguia + Ping Zhou404 matchesnot enough data
Monica Gallimore + Ping Zhou314 matchesnot enough data
Deepa Nair + Kimberly Pesce123 matchesnot enough data
Deepa Nair + Maricela Robles-Murguia123 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.

Maricela Robles-Murguia
40W–34L career · no lines in 2023
3%95%3%
3.25
3.5
Dana Stout
34W–45L career · no lines in 2023
21%79%<1%
3.11
Ping Zhou
36W–16L career · no lines in 2023
<1%37%63%
3.04
Melinda Boudreau
13W–21L career · no lines in 2023
57%43%<1%
2.98
3
Cathy Poulin
30W–29L career · no lines in 2023
<1%82%18%
2.88
Tarshian Moon
51W–51L career · no lines in 2023
<1%86%14%
2.86
Susan Northen-Lacy
49W–54L career · no lines in 2023
1%91%8%
2.82
3
Deepa Nair
40W–32L career · no lines in 2023
1%93%6%
2.80
Roz Wallace
23W–33L career · no lines in 2023
1%93%6%
2.80
Patricia Harris
19W–15L career · no lines in 2023
2%94%4%
2.77
3
Angela McClusky
5W–2L career · no lines in 2023
not enough data
3
Catherine Hurdle
1W–3L career · no lines in 2023
not enough data
Letitia Phillips
25W–35L career · no lines in 2023
12%88%<1%
2.66
Kathye Sbravati
15W–22L career · no lines in 2023
17%82%<1%
2.62
Susan Kruchten
12W–15L career · no lines in 2023
21%79%<1%
2.60
Monica Gallimore
14W–26L career · no lines in 2023
31%69%<1%
2.56
Theresa Carayiannis
20W–29L career · no lines in 2023
55%45%<1%
2.48
Kimberly Pesce
1W–4L career · no lines in 2023
not enough data
Pamela Pierski
6W–12L career · no lines in 2023
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.