Teams

ST MARY 18AW4.5A

2025 ADULT 18&Over · Women's 4.5

23 players · average NTRP 4.57 / NO. CALIFORNIA

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 →

Flight standings for Women's 4.5 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 4.14 estimated across 19 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.

4.70
Blair Paige
published 5
4.45
Riki Sorenson
published
4.36
Angie Esswein
published 4.5
4.28
Jennifer Essner
published
4.26
Malaika Stoll
published
4.26
Jessica Kim
published
4.24
Seena Shanker
published
4.20
Heather Ruegg
published 4.5
4.20
Leone Patterson
published
4.15
Jamille Lee
published 4.5
4.13
Caryn Lai
published 4.5
4.10
Kimberly Prast
published
4.07
Katy Keim
published
4.05
Cynthia Abel
published 4.5
4.02
Brooke Frederick
published 4.5
4.01
Mai Angsupanich
published
3.93
Marcy Sharafian
published
3.89
Wyler Collo
published
3.34
Tara Navarro
published
Lilana Spindler
published
Sheila Eversole
published
Stacey Huang
published
Susan Lundstrom
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.

Jennifer Essner + Katy Keim4170% games+13.4% vs expected
Seena Shanker + Jamille Lee6061% games+1.7% vs expected
Seena Shanker + Leone Patterson224 matchesnot enough data
Wyler Collo + Stacey Huang224 matchesnot enough data
Malaika Stoll + Mai Angsupanich033 matchesnot enough data
Katy Keim + Angie Esswein303 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.

5
Blair Paige
4W–2L career · no lines in 2025
6%93%1%
4.70
Riki Sorenson
1W–5L career · no lines in 2025
66%34%<1%
4.45
4.5
Angie Esswein
10W–4L career · no lines in 2025
<1%86%14%
4.36
Jennifer Essner
14W–10L career · no lines in 2025
2%94%4%
4.28
Malaika Stoll
4W–9L career · no lines in 2025
97%3%<1%
4.26
Jessica Kim
31W–15L career · no lines in 2025
2%94%3%
4.26
Seena Shanker
17W–3L career · no lines in 2025
3%95%2%
4.24
4.5
Heather Ruegg
5W–3L career · no lines in 2025
6%93%1%
4.20
Leone Patterson
22W–12L career · no lines in 2025
7%92%1%
4.20
4.5
Jamille Lee
17W–7L career · no lines in 2025
12%87%<1%
4.15
4.5
Caryn Lai
7W–3L career · no lines in 2025
16%84%<1%
4.13
Kimberly Prast
4W–5L career · no lines in 2025
22%78%<1%
4.10
Katy Keim
10W–5L career · no lines in 2025
30%70%<1%
4.07
4.5
Cynthia Abel
19W–10L career · no lines in 2025
36%64%<1%
4.05
4.5
Brooke Frederick
12W–5L career · no lines in 2025
44%56%<1%
4.02
Mai Angsupanich
8W–13L career · no lines in 2025
48%52%<1%
4.01
Marcy Sharafian
9W–17L career · no lines in 2025
70%30%<1%
3.93
Wyler Collo
14W–13L career · no lines in 2025
80%20%<1%
3.89
Tara Navarro
11W–9L career · no lines in 2025
>99%<1%0%
3.34
Lilana Spindler
2W–3L career · no lines in 2025
not enough data
Sheila Eversole
1W–1L career · no lines in 2025
not enough data
Stacey Huang
2W–3L career · no lines in 2025
not enough data
Susan Lundstrom
1W–1L career · no lines in 2025
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.