Teams

Gould/DV/Foothills

2022 Foothills Mixed Doubles - 18 & over · 8.0 Mixed Doubles

10 players · average NTRP 4.00 / NORTH CAROLINA

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Schedule5 played
2022-08-18vs Owens/YMCA/FoothillsWon 20
W#2 DoublesMandy Poplin / David Sprague vs Dawn Owens / Douglas Lee Honeycutt Jr6-3, 7-6
W#3 DoublesJennifer Pillow / Mark Ginn vs Tamara Woods / Clay Dennis6-2, 4-6, 1-0
2022-08-04vs Owens/YMCA/FoothillsSplit 11
L#1 DoublesMandy Poplin / Jason Triplett vs Shelby Graff / John Reid2-6, 3-6
W#3 DoublesJennifer Pillow / Jesse Miller vs Douglas Lee Honeycutt Jr / Dawn Owens6-1, 6-4
2022-07-14Split 11
L#1 DoublesLogan Freeman / Mandy Poplin vs Natasha Eckard / Jody Eckard7-5, 1-6, 0-1
W#3 DoublesDavid Sprague / Meghan Copley vs Kimberly Steele / Vu Nguyen5-7, 7-6, 1-0
2022-06-30vs Swisher/LHCC&HCP/FoothillsSplit 11
W#2 DoublesMandy Poplin / Logan Freeman vs Alisa Crooks / Christopher Blair7-5, 6-4
L#3 DoublesMeghan Copley / Stefan Frisch vs Kirsten Morin / Aaron Swisher1-6, 2-6
2022-06-09vs Swisher/LHCC&HCP/FoothillsLost 03
L#1 DoublesJennifer Pillow / Jason Triplett vs Jenette Swisher / Aaron Swisher4-6, 5-7
L#2 DoublesSusan Westphal / Jesse Miller vs Deirdre Bolter / George Bolter2-6, 3-6
L#3 DoublesMeghan Copley / Logan Freeman vs Michelle Hunt / Jim Heisler5-7, 5-7
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 8.0 Mixed Doubles 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 3.64 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.

3.86
David Sprague
published 4
3.80
Jennifer Pillow
usually #3 Doubles 67%, also #1 Doubles 33% · published 4
3.78
Mandy Poplin
usually #2 Doubles 50%, also #1 Doubles 50% · published 4
3.73
Mark Ginn
published
3.71
Meghan Copley
usually #3 Doubles 100% · published 4
3.60
Susan Westphal
usually #2 Doubles 100% · published 4
3.57
Logan Freeman
published
3.55
Karen Ginn
published
3.18
Stefan Frisch
published
Jason Triplett
published
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
David Sprague
14W–5L career · no lines in 2022
<1%86%14%
3.86
4
Jennifer Pillow
79W–40L career · 3 lines in 2022
1%93%6%
3.80
4
Mandy Poplin
125W–71L career · 4 lines in 2022
2%94%5%
3.78
Mark Ginn
3W–0L career · no lines in 2022
4%94%2%
3.73
4
Meghan Copley
62W–45L career · 3 lines in 2022
5%93%1%
3.71
4
Susan Westphal
45W–34L career · 1 line in 2022
23%77%<1%
3.60
Logan Freeman
4W–6L career · no lines in 2022
28%71%<1%
3.57
Karen Ginn
4W–4L career · no lines in 2022
35%65%<1%
3.55
Stefan Frisch
7W–5L career · no lines in 2022
8%91%1%
3.18
Jason Triplett
1W–1L 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.