Teams

Happy Feet 3.5W Singles

2023 Howard Columbia Singles · Howard Columbia Singles 3.5 Women

10 players · average NTRP 3.69 / MARYLAND

View scouting list →
Schedule9 played
W#2 SinglesKim Steffen vs Thi Nguyen6-4, 6-2
W#3 SinglesAnto Faini vs Debra MacDonald6-2, 6-1
W#1 SinglesTina Halley vs Kelsey Forbes6-2, 6-2
2023-10-17vs Tennis Tribe 3.5W SinglesWon 10
W#1 SinglesTina Halley vs Angela Helder6-3, 6-2
2023-10-15vs #1 Hit Single - 3.5W SinglesWon 10
W#2 SinglesZoie Acadia vs Vy Nguyen6-0, 6-3
2023-10-10Won 10
W#1 SinglesTina Halley vs Erin Kim7-5, 6-1
W#1 SinglesKim Steffen vs Amber Surmiller6-3, 2-6, 1-0
2023-09-19vs #1 Hit Single - 3.5W SinglesWon 10
W#3 SinglesMarie Sokoloff vs Alecia Brinkley6-4, 0-6, 1-0
2023-09-16vs Tennis Tribe 3.5W SinglesSplit 11
L#2 SinglesAnto Faini vs Cintya Leveque1-6, 6-7
W#3 SinglesMarie Sokoloff vs Angela Helder6-4, 5-7, 1-0
2023-09-05vs Rally Cats 3.5W SinglesWon 10
W#3 SinglesZoie Acadia vs Linda Tsai6-2, 6-2
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 Howard Columbia Singles 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 3.58 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.

3.88
Tina Halley
usually #1 Singles 50%, also #2 Singles 33% · published 4
3.70
Kim Steffen
usually #1 Singles 50%, also #2 Singles 50% · published 4
3.69
Carrie McIntyre
published 3.5
3.68
Jelena Mitrovic
published
3.65
Zoie Acadia
usually #3 Singles 50%, also #2 Singles 50% · published 4
3.65
Anto Faini
usually #2 Singles 50%, also #3 Singles 50% · published 3.5
3.56
Sandy Thongphok
published 3.5
3.43
Marie Sokoloff
usually #3 Singles 100% · published 3.5
3.40
Lorinda Rawlings
published
3.11
Brenda Crowe
published 3.5
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.

Sandy Thongphok + Anto Faini131152% games−1.5% vs expected
Sandy Thongphok + Jelena Mitrovic314 matchesnot enough data
Tina Halley + Sandy Thongphok123 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
Tina Halley
128W–66L career · 6 lines in 2023
<1%82%18%
3.88
4
Kim Steffen
115W–95L career · 2 lines in 2023
6%93%1%
3.70
3.5
Carrie McIntyre
33W–6L career · no lines in 2023
<1%8%92%
3.69
Jelena Mitrovic
9W–11L career · no lines in 2023
8%91%1%
3.68
4
Zoie Acadia
359W–171L career · 2 lines in 2023
12%88%<1%
3.65
3.5
Anto Faini
227W–104L career · 2 lines in 2023
<1%12%88%
3.65
3.5
Sandy Thongphok
277W–124L career · no lines in 2023
<1%33%67%
3.56
3.5
Marie Sokoloff
277W–199L career · 2 lines in 2023
<1%71%28%
3.43
Lorinda Rawlings
10W–6L career · no lines in 2023
<1%77%23%
3.40
3.5
Brenda Crowe
5W–6L career · no lines in 2023
19%81%<1%
3.11

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.