Teams

Oldis 8.5 Combo 40s thurs

2023 Piedmont Combo 40 & Over · 8.5 40 & Over Women

14 players · average NTRP 4.40 / NORTH CAROLINA

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Schedule3 played
2023-09-14vs Cartee 8.5 Combo 40s ThursWon 10
W#2 DoublesLauren Nutt / Jane Owens vs Mimi Cartee / Janel Green7-6, 6-1
2023-09-01vs Brown K 8.5 Combo 40s ThursWon 10
W#1 DoublesLauren Nutt / Jami Heller vs Tammy Dickenson / Kathy Hedgecock4-6, 6-3, 1-0
2023-08-30vs Milam 8.5 Combo 40s ThursWon 10
W#2 DoublesLauren Nutt / Jane Owens vs Cynthia Sarwi / Suzanne Rudy6-3, 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 8.5 40 & Over 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 4.01 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.

4.36
Tiffany Brown
published
4.30
Elizabeth Gill
published 4.5
Jami Heller
published 4.5
4.19
Beth Harris
published 4.5
4.07
Beth Mayer
published 4.5
4.06
Paige Cummings
published
4.04
Jane Owens
published
3.99
Kim Littrell
published
3.93
Sarah Dunning
published
3.92
Marianna Bryce
published
3.90
Brenda Willis
published 4
3.88
Marla Barnwell
published
3.77
Lauren Nutt
usually #2 Doubles 67%, also #1 Doubles 33% · published
3.66
Joanna Cox
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.

Sarah Dunning + Brenda Willis10364% games+8.0% vs expected
Marla Barnwell + Sarah Dunning7555% games+1.9% vs expected
Beth Mayer + Beth Harris7355% games−7.0% vs expected
Lauren Nutt + Marla Barnwell314 matchesnot enough data
Lauren Nutt + Beth Harris213 matchesnot enough data
Marla Barnwell + Brenda Willis213 matchesnot enough data
Marla Barnwell + Marianna Bryce303 matchesnot enough data
Tiffany Brown + Jane Owens123 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.

Tiffany Brown
15W–4L career · no lines in 2023
<1%85%15%
4.36
4.5
Elizabeth Gill
23W–10L career · no lines in 2023
1%92%7%
4.30
4.5
Jami Heller
1W–1L career · no lines in 2023
not enough data
4.5
Beth Harris
13W–5L career · no lines in 2023
8%92%1%
4.19
4.5
Beth Mayer
16W–5L career · no lines in 2023
28%71%<1%
4.07
Paige Cummings
11W–10L career · no lines in 2023
31%69%<1%
4.06
Jane Owens
13W–11L career · no lines in 2023
39%61%<1%
4.04
Kim Littrell
11W–8L career · no lines in 2023
53%47%<1%
3.99
Sarah Dunning
34W–18L career · no lines in 2023
<1%71%28%
3.93
Marianna Bryce
18W–2L career · no lines in 2023
<1%73%27%
3.92
4
Brenda Willis
31W–15L career · no lines in 2023
<1%78%22%
3.90
Marla Barnwell
42W–14L career · no lines in 2023
<1%83%17%
3.88
Lauren Nutt
102W–82L career · 3 lines in 2023
2%94%4%
3.77
Joanna Cox
2W–2L career · no lines in 2023
11%88%<1%
3.66

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.