Teams

Shaffer - Alley Cats

2025 Montgomery Singles · Montgomery Singles 3.5 Women

11 players · average NTRP 3.57 / MARYLAND

View scouting list →
Schedule9 played
2025-09-27Won 10
W#1 SinglesLesli Thompson vs Chloe Zhang6-1
2025-09-24vs Du - Honey Deuce 3.5Lost 01
L#1 SinglesMiyuki Sato vs Chao Wang1-6, 1-6
2025-09-04vs Henkin - Serve & Folly SinglesWon 10
W#1 SinglesMiyuki Sato vs Caroline Storer6-3, 6-2
2025-08-23vs Robertson - Rose All PlayWon 21
W#1 SinglesLaura Jairam vs Ellen Lee6-2, 2-5
L#2 SinglesMiyuki Sato vs Sherra Dung4-6, 2-6
W#3 SinglesLesli Thompson vs Sheila O'Connell2-6, 7-5, 1-0
2025-08-09vs YangWon 20
W#2 SinglesDenise Levis vs Lynda Nguyen6-2, 7-6
W#3 SinglesEbla Aliibrahim vs Andrea Foster6-0, 6-2
2025-08-02vs Henkin - Serve & Folly SinglesLost 01
L#1 SinglesLaura Jairam vs Claudia Guardia6-2, 1-6, 1-0
2025-07-23vs Robertson - Rose All PlayLost 01
L#2 SinglesDenise Levis vs Jennifer Yang1-6, 2-6
2025-07-18vs Zhao - The AvengersLost 02
L#1 SinglesLesli Thompson vs Tana Jankowiak6-7, 3-6
L#2 SinglesDenise Levis vs Tracy Brandt3-6, 0-6
2025-07-12vs Du - Honey Deuce 3.5Lost 02
L#1 SinglesLaura Jairam vs Chao Wang2-6, 4-6
L#2 SinglesEbla Aliibrahim vs ZIJING YE0-6, 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 Montgomery 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 3.35 estimated across 11 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.

3.84
Miyuki Sato
usually #1 Singles 67%, also #2 Singles 33% · published 4
3.50
Lelia True
published
3.48
Laura Jairam
usually #1 Singles 100% · published 3.5
3.45
Lesli Thompson
usually #1 Singles 67%, also #3 Singles 33% · published 3.5
3.31
TingTing Du
published
3.27
Denise Levis
usually #2 Singles 100% · published 3.5
3.20
3.20
Linda Shaffer
published
3.19
De'Ana Dow
published 3.5
3.19
Ebla Aliibrahim
usually #2 Singles 50%, also #3 Singles 50% · published 3.5
3.18
Carina Villagra
published 3.5
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
Miyuki Sato
70W–42L career · 3 lines in 2025
1%87%12%
3.84
Lelia True
14W–8L career · no lines in 2025
<1%51%49%
3.50
3.5
Laura Jairam
184W–85L career · 3 lines in 2025
<1%55%45%
3.48
3.5
Lesli Thompson
155W–121L career · 3 lines in 2025
<1%64%36%
3.45
TingTing Du
13W–18L career · no lines in 2025
1%90%8%
3.31
3.5
Denise Levis
131W–88L career · 3 lines in 2025
3%92%5%
3.27
Ruth Go Fernando Randle
21W–17L career · no lines in 2025
7%91%2%
3.20
Linda Shaffer
18W–17L career · no lines in 2025
7%91%2%
3.20
3.5
De'Ana Dow
3W–6L career · no lines in 2025
8%90%1%
3.19
3.5
Ebla Aliibrahim
60W–136L career · 2 lines in 2025
8%90%1%
3.19
3.5
Carina Villagra
16W–16L career · no lines in 2025
10%89%1%
3.18

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.