Teams

Avila Trifectas - G. Morgan

2022 Hillsborough Tri-Level · 4.0

12 players · average NTRP 3.57 / REGION_3

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Schedule6 played
W#3 DoublesAndrea Cottrell / Gina Lund vs Sarah Weaver / Sandra Fowler6-2, 7-5
2022-07-13vs Sun City - L. GreenleeWon 20
W#2 DoublesLisa Polk / Shelley Weathers vs Debbie Zieg / Kathleen Gafarian6-4, 6-3
W#3 DoublesYeon Thomas / Andrea Cottrell vs Patricia Berger / Lynn Malarz2-6, 6-2, 1-0
2022-07-06vs Arbor Greene Tri LOVAS - C. PaulLost 01
L#2 DoublesSuzanne Peterson / Shelley Weathers vs Geri Burke / Beth Hart3-6, 0-6
2022-06-29vs Cheval Tri 2 Win - M. SchmittLost 01
L#2 DoublesDebra Alberts / Lydia Atkinson vs Krista Missbach / Patricia McCullough1-6, 6-7
2022-06-22vs Harbour Island - D. McKnightWon 10
W#3 DoublesAndrea Cottrell / Gina Lund vs Kelly Wroten / Kimberly Camacho4-6, 6-3, 1-0
2022-06-15vs Fishhawk Fireballs - M. EiermannLost 01
L#2 DoublesShelley Weathers / Lydia Atkinson vs Deb Spears / Stephane Duroseau5-7, 3-6
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 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 3.22 estimated across 10 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
Elizabeth Snyder
published 4
3.66
3.42
Andrea Cottrell
usually #3 Doubles 60%, also #2 Doubles 40% · published 3.5
3.29
Lisa Polk
published
3.28
Shelley Weathers
usually #1 Doubles 67%, also #2 Doubles 33% · published 3.5
Debra Alberts
usually #2 Doubles 100% · published 3.5
3.18
Anne Stafford
published 3.5
3.18
Lydia Atkinson
published
2.92
Gina Lund
published 3
2.85
Yeon Thomas
published
2.73
Stacey Lee
published
Joann Abraham
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.

Yeon Thomas + Stacey Lee6170% games+9.5% vs expected
Shelley Weathers + Andrea Cottrell5259% gamesnot enough data
Andrea Cottrell + Lisa Polk404 matchesnot enough data
Gina Lund + Anne Stafford303 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
Elizabeth Snyder
2W–6L career · no lines in 2022
10%90%1%
3.67
4
Charlene Bleakley
1W–4L career · no lines in 2022
10%89%<1%
3.66
3.5
Andrea Cottrell
100W–33L career · 5 lines in 2022
<1%72%28%
3.42
Lisa Polk
8W–7L career · no lines in 2022
1%94%5%
3.29
3.5
Shelley Weathers
89W–49L career · 9 lines in 2022
1%94%5%
3.28
3.5
Debra Alberts
21W–33L career · 1 line in 2022
not enough data
3.5
Anne Stafford
12W–6L career · no lines in 2022
8%91%1%
3.18
Lydia Atkinson
4W–2L career · no lines in 2022
9%91%1%
3.18
3
Gina Lund
15W–9L career · no lines in 2022
<1%72%28%
2.92
Yeon Thomas
17W–3L career · no lines in 2022
<1%88%12%
2.85
Stacey Lee
17W–6L career · no lines in 2022
4%94%2%
2.73
Joann Abraham
0W–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.