Teams

MD.Winters

2022 CTRL Fall Singles 18 & Over · Fall Singles 18 & Over 3.5 Women

7 players · average NTRP 3.33 / NORTH CAROLINA

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →
Schedule8 played
2022-12-05vs TOC.BunceSplit 11
L#2 SinglesLindsay Winters vs Cindy Bunce6-3, 6-7, 0-1
W#3 SinglesAllie Ligay vs Keely Williams6-0, 6-0
2022-12-01vs PW.StegmanWon 10
W#2 SinglesAllie Ligay vs Julie Evans6-1, 6-1
2022-11-28Won 10
W#2 SinglesLindsay Winters vs Meghan O'Hara6-2, 2-6, 1-0
2022-11-17Lost 01
L#1 SinglesMeredith Kinkle vs Jenna Wood0-6, 5-7
2022-10-27vs TOC.BunceLost 01
L#3 SinglesBrinette Myers vs Cindy Bunce1-6, 4-6
2022-10-03vs PW.StegmanWon 10
W#1 SinglesAllie Ligay vs Hollis Mertens6-3, 6-1
2022-09-29Split 11
W#1 SinglesMeredith Kinkle vs Lauren Perry6-3, 6-3
L#3 SinglesLindsay Winters vs Jenna Wood4-6, 0-6
2022-09-22vs TOC.IrishLost 12
L#1 SinglesMeredith Kinkle vs Maria Montano Briones1-6, 4-6
W#2 SinglesAllie Ligay vs Aigerim Aitakyn6-1, 6-4
L#3 SinglesBrinette Myers vs Najia Cheema4-6, 6-2, 0-1
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 Fall Singles 18 & Over 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 3.22 estimated across 7 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.

3.69
Mollie McCauley
published
3.58
Allie Ligay
usually #2 Singles 71%, also #1 Singles 14% · published 3.5
3.33
Lindsay Winters
usually #2 Singles 67%, also #3 Singles 33% · published 3.5
3.28
Meredith Kinkle
usually #1 Singles 100% · published 3.5
3.09
Beth McKinley
published 3.5
2.87
Shari McCandlish
usually #2 Singles 50%, also #3 Singles 50% · published 3
2.70
Brinette Myers
usually #3 Singles 67%, also #1 Singles 33% · 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.

Brinette Myers + Allie Ligay13262% gamesnot enough data
Allie Ligay + Lindsay Winters123 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.

Mollie McCauley
9W–3L career · no lines in 2022
<1%7%93%
3.69
3.5
Allie Ligay
203W–66L career · 7 lines in 2022
<1%26%74%
3.58
3.5
Lindsay Winters
84W–47L career · 3 lines in 2022
1%90%9%
3.33
3.5
Meredith Kinkle
63W–58L career · 3 lines in 2022
2%94%5%
3.28
3.5
Beth McKinley
7W–12L career · no lines in 2022
25%75%<1%
3.09
3
Shari McCandlish
82W–75L career · 2 lines in 2022
<1%85%15%
2.87
3
Brinette Myers
92W–79L career · 3 lines in 2022
7%92%1%
2.70

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.