Teams

Cannon/DV/Foothills

2022 Foothills Tri-Level - 18 & over · Women's Group B 3.0-3.5-4.0

10 players · average NTRP 3.90 / NORTH CAROLINA

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Schedule6 played
2022-07-26vs Tonks/YMCA/FoothillsSplit 11
W#1 DoublesAmanda Berry / Melissa Turbett vs Karen Tonks / Cori Thompson6-4, 6-4
L#3 DoublesCherie Gouldthorpe / Lisa Cooper vs Jennifer Dufour / Olivia Good4-6, 1-6
2022-07-12vs LHCC/B2/FoothillsLost 01
L#1 DoublesChelsea Cannon / Amanda Berry vs Kirsten Morin / Deirdre Bolter6-4, 3-6, 0-1
2022-06-28vs Vonallmen/HCP/FoothillsSplit 11
W#1 DoublesMeghan Copley / Ruth Smith vs Susan Ottofaro Ray / Kelly Walker6-3, 3-6, 1-0
L#3 DoublesCherie Gouldthorpe / Lisa Cooper vs Kelly Meier / Natalie von Allmen3-6, 4-6
2022-06-21vs Kim/RBCC/FoothillsSplit 11
W#1 DoublesChelsea Cannon / Mary Sheryl Horine vs Madison Shull / Mitzi Story3-6, 6-4, 1-0
L#3 DoublesWhitney Shuman / Lisa Cooper vs Aimee Reimann / Lisa Bograd0-6, 0-6
2022-06-14vs Gerbrands/DV/FoothillsWon 10
W#1 DoublesAmanda Berry / Mary Sheryl Horine vs Pam Muncy / Mandy Poplin6-1, 6-1
2022-06-07vs LHCC/B1/FoothillsLost 01
L#1 DoublesRuth Smith / Meghan Copley vs Blair Tate / Michelle Hunt1-6, 2-6
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's Group B 3.0-3.5-4.0 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 3.44 estimated across 9 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.

4.12
Amanda Berry
usually #1 Doubles 100% · published 4.5
4.00
Mary Sheryl Horine
usually #1 Doubles 100% · published 4
3.71
Meghan Copley
usually #1 Doubles 100% · published 4
3.68
Chelsea Cannon
usually #1 Doubles 100% · published 4
3.63
Melissa Turbett
published
3.32
Jill Reese
published
3.15
Whitney Shuman
published
2.89
Lisa Cooper
usually #3 Doubles 100% · published 3
2.46
Linda Gabbett
published
Martha Hardaway
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.

Meghan Copley + Amanda Berry314 matchesnot enough data
Mary Sheryl Horine + Amanda Berry213 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.

4.5
Amanda Berry
156W–74L career · 3 lines in 2022
18%82%<1%
4.12
4
Mary Sheryl Horine
71W–25L career · 2 lines in 2022
<1%50%50%
4.00
4
Meghan Copley
62W–45L career · 2 lines in 2022
5%93%1%
3.71
4
Chelsea Cannon
25W–24L career · 2 lines in 2022
9%91%1%
3.68
Melissa Turbett
2W–1L career · no lines in 2022
17%83%<1%
3.63
Jill Reese
16W–10L career · no lines in 2022
1%91%8%
3.32
Whitney Shuman
2W–3L career · no lines in 2022
13%87%<1%
3.15
3
Lisa Cooper
58W–107L career · 3 lines in 2022
<1%80%20%
2.89
Linda Gabbett
1W–13L career · no lines in 2022
63%37%<1%
2.46
Martha Hardaway
1W–0L 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.