Teams

Albert - One hit at a time

2024 Howard Columbia Singles · Howard Columbia Singles 3.0 Women

8 players · average NTRP 3.00 / MARYLAND

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Schedule8 played
2024-10-29vs Phan - All the Singles Ladies 3.0WLost 01
L#2 SinglesCheryl Royce vs Lorra Baker1-6, 2-6
2024-10-28vs Johnson - Net Success 3.0W-SLost 01
L#1 SinglesCheryl Royce vs Colleen Quinlan1-6, 0-6
2024-10-23Lost 01
L#1 SinglesLisa Greenlee vs Tetiana Vagizova2-6, 1-6
2024-10-19vs Phan - All the Singles Ladies 3.0WLost 01
L#2 SinglesLisa Greenlee vs Lorra Baker5-7, 4-3
2024-10-14vs Johnson - Net Success 3.0W-SLost 01
L#2 SinglesLisa Greenlee vs Colleen Quinlan3-6, 1-6
2024-10-07vs Phan - All the Singles Ladies 3.0WLost 01
L#1 SinglesLisa Greenlee vs Keyonna Baker1-6, 1-6
2024-09-29vs Vagizova - Miss HitsSplit 11
L#1 SinglesLisa Greenlee vs Xian Zhou2-6, 4-6
W#2 SinglesCheryl Royce vs Elizabeth Magallanes6-1, 4-6, 1-0
2024-09-10vs Phan - All the Singles Ladies 3.0WLost 01
L#1 SinglesCheryl Royce vs Keyonna Baker4-6, 2-6
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 3.0 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 2.76 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.

3.09
Karen Altman
published
3.08
Cheryl Royce
usually #1 Singles 50%, also #2 Singles 50% · published 3
2.92
Lisa Greenlee
usually #1 Singles 60%, also #2 Singles 40% · published 3
2.68
Shari Albert
published 3
2.65
Diane Ruggiero
published 3
2.65
Nina Salomon
published
2.24
Jiashi Zhao
published
Kathy Slack
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.

Lisa Greenlee + Shari Albert141549% games−3.5% vs expected
Diane Ruggiero + Shari Albert0834% gamesnot enough data
Lisa Greenlee + Diane Ruggiero0630% gamesnot enough data
Lisa Greenlee + Cheryl Royce4255% gamesnot enough data
Shari Albert + Cheryl Royce123 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.

Karen Altman
10W–22L career · no lines in 2024
24%76%<1%
3.09
3
Cheryl Royce
122W–139L career · 4 lines in 2024
<1%26%74%
3.08
3
Lisa Greenlee
153W–221L career · 5 lines in 2024
<1%72%28%
2.92
3
Shari Albert
101W–181L career · no lines in 2024
9%91%1%
2.68
3
Diane Ruggiero
85W–179L career · no lines in 2024
12%87%<1%
2.65
Nina Salomon
4W–1L career · no lines in 2024
>99%<1%<1%
2.65
Jiashi Zhao
12W–17L career · no lines in 2024
0%98%2%
2.24
Kathy Slack
0W–4L career · no lines in 2024
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.