Teams

Rally Cats 3.5W Singles

2023 Howard Columbia Singles · Howard Columbia Singles 3.5 Women

6 players · average NTRP 3.67 / MARYLAND

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Schedule8 played
2023-11-02Won 10
W#1 SinglesGENA CHUNG vs Maggie Johnson6-3, 7-5
L#1 SinglesAmy LaMoure vs Claire Rossmark3-6, 2-6
L#2 SinglesGENA CHUNG vs Patcharavalai Lawhcharoen5-7, 3-3
2023-10-26Won 10
W#3 SinglesGENA CHUNG vs N/A6-0, 6-0
2023-10-10vs Happy Feet 3.5W SinglesWon 10
W#3 SinglesAmy LaMoure vs Sandy Thongphok5-7, 6-4, 1-0
L#1 SinglesAmy LaMoure vs Kelsey Forbes5-7, 3-6
W#1 SinglesAmy LaMoure vs Brooke Davidson7-6, 6-1
L#2 SinglesGENA CHUNG vs Claire Rossmark4-6, 5-7
2023-10-01vs #1 Hit Single - 3.5W SinglesWon 10
W#1 SinglesAmy LaMoure vs Danielle Gourdine6-2, 6-1
2023-09-18vs Tennis Tribe 3.5W SinglesLost 01
L#2 SinglesGENA CHUNG vs Karlene Brathwaite4-6, 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 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 3.32 estimated across 6 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.

3.58
Amy LaMoure
usually #1 Singles 80%, also #3 Singles 20% · published 4
3.49
Sanghee Lee
published
3.37
Linda Tsai
published
3.27
GENA CHUNG
usually #2 Singles 60%, also #3 Singles 20% · published 3.5
3.17
Claire Kim
published 3.5
3.04
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.

GENA CHUNG + Amy LaMoure2348% gamesnot enough data
GENA CHUNG + Linda Tsai314 matchesnot enough data
GENA CHUNG + Sanghee Lee123 matchesnot enough data
GENA CHUNG + Claire Kim123 matchesnot enough data
Maria Cristina Sanchez + Claire Kim123 matchesnot enough data
Linda Tsai + Claire Kim213 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
Amy LaMoure
172W–217L career · 5 lines in 2023
28%72%<1%
3.58
Sanghee Lee
38W–21L career · no lines in 2023
<1%52%48%
3.49
Linda Tsai
11W–5L career · no lines in 2023
<1%85%15%
3.37
3.5
GENA CHUNG
122W–132L career · 5 lines in 2023
2%94%4%
3.27
3.5
Claire Kim
15W–14L career · no lines in 2023
9%90%1%
3.17
Maria Cristina Sanchez
10W–11L career · no lines in 2023
38%62%<1%
3.04

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.