Teams

Thornblade/Cupples

2022 Fall 39 & over-Women-UPTA · 3.5 Women

15 players · average NTRP 3.31 / SOUTH CAROLINA

View scouting list →
Schedule1 played
2022-11-14Won 10
W#3 DoublesLisa Seay / Karen Gallagher vs Susan Cobb / Laura Lang6-1, 7-5
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 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 3.19 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.

3.67
Patricia Gailey
published
3.48
Jennifer van Gieson
published
3.46
Kristy Rogers
published
3.39
Aimee Lonergan
published 3.5
3.29
Jill Thompson
published
3.27
Angela Joffe
published 3.5
Emily Oglesby
published 3.5
3.17
Pamela Finigan
published
3.14
Erica Kelly
published 3.5
3.14
Lisa Seay
published
3.07
Cathy Spitzmiller
published 3.5
2.91
Sena Claxton
published
2.86
Carrie Dickert
published 3
Karen Gallagher
usually #3 Doubles 100% · published 3
2.57
Amy Cupples
published 3
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.

Amy Cupples + Cathy Spitzmiller4155% games+11.8% vs expected
Pamela Finigan + Angela Joffe3545% games+9.8% vs expected
Kristy Rogers + Aimee Lonergan6256% games+7.4% vs expected
Sena Claxton + Jill Thompson3448% games+6.7% vs expected
Sena Claxton + Angela Joffe3548% games−0.2% vs expected
Aimee Lonergan + Patricia Gailey3253% games−0.4% vs expected
Pamela Finigan + Lisa Seay4249% games−1.0% vs expected
Pamela Finigan + Cathy Spitzmiller3249% 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.

Patricia Gailey
58W–26L career · no lines in 2022
10%90%1%
3.67
Jennifer van Gieson
2W–5L career · no lines in 2022
57%43%<1%
3.48
Kristy Rogers
25W–19L career · no lines in 2022
63%37%<1%
3.46
3.5
Aimee Lonergan
24W–16L career · no lines in 2022
<1%79%21%
3.39
Jill Thompson
22W–36L career · no lines in 2022
1%93%6%
3.29
3.5
Angela Joffe
33W–36L career · no lines in 2022
2%94%4%
3.27
3.5
Emily Oglesby
9W–12L career · no lines in 2022
not enough data
Pamela Finigan
18W–24L career · no lines in 2022
9%90%1%
3.17
3.5
Erica Kelly
32W–28L career · no lines in 2022
14%86%<1%
3.14
Lisa Seay
4W–2L career · no lines in 2022
14%85%<1%
3.14
3.5
Cathy Spitzmiller
15W–11L career · no lines in 2022
30%70%<1%
3.07
Sena Claxton
13W–34L career · no lines in 2022
<1%76%23%
2.91
3
Carrie Dickert
9W–20L career · no lines in 2022
<1%85%15%
2.86
3
Karen Gallagher
39W–108L career · 1 line in 2022
not enough data
3
Amy Cupples
16W–26L career · no lines in 2022
30%70%<1%
2.57

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.