Teams

Sweet Shots

Spring Adult 18 & Over WeekDAY · Ladies 3.0 18s

14 players · average NTRP 3.14 / TEXAS

View scouting list →
Schedule4 played
2022-06-10vs TopSpin 3.0Lost 01
L#1 SinglesErica Wilson vs Ann Jerome1-6, 4-6
2022-05-06vs Wimberley AcesLost 01
L#2 DoublesCarol Martin / Erica Wilson vs Andrea Ursha / MOLLIE ZAMORA6-7, 3-6
2022-04-29vs ServeAces 3.0Lost 01
L#1 DoublesErica Wilson / Kelly Contreras vs Erin Drew / Melissa Rabeaux1-6, 6-4, 0-1
2022-04-22Won 10
W#1 SinglesErica Wilson vs Gail Brown7-5, 7-6
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 Ladies 3.0 18s 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 3.03 estimated across 12 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.

3.46
Monica Del Toro
published
3.45
Beverly Crenshaw
published 3.5
3.34
3.15
3.13
Nicole Campbell
published
3.05
Leslie Ward
published
3.02
Chandra Montero
published 3
2.98
Christine Browning
published 3.5
2.85
Natasha Beaugh
published
2.77
Erica Wilson
usually #1 Singles 50%, also #1 Doubles 25% · published 3
Diane Lee
published 3
2.70
Lara Dye
published 3
2.49
Kathy Sonnier
published
Lisa McIntire
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.

Christine Browning + Leslie Ward4158% games+14.8% vs expected
Jennie Purushothaman + Chandra Montero5254% games+1.6% vs expected
Leslie Ward + Anna Laura Jauregui3351% games+1.0% vs expected
Kathy Sonnier + Diane Lee4256% gamesnot enough data
Christine Browning + Anna Laura Jauregui224 matchesnot enough data
Anna Laura Jauregui + Jennie Purushothaman404 matchesnot enough data
Erica Wilson + Nicole Campbell123 matchesnot enough data
Kathy Sonnier + Christine Browning123 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.

Monica Del Toro
34W–20L career · no lines in 2022
<1%61%39%
3.46
3.5
Beverly Crenshaw
38W–24L career · no lines in 2022
<1%66%34%
3.45
Jennie Purushothaman
81W–27L career · no lines in 2022
<1%88%11%
3.34
3
Anna Laura Jauregui
54W–28L career · no lines in 2022
<1%12%88%
3.15
Nicole Campbell
42W–36L career · no lines in 2022
16%84%<1%
3.13
Leslie Ward
20W–18L career · no lines in 2022
34%66%<1%
3.05
3
Chandra Montero
32W–20L career · no lines in 2022
<1%45%55%
3.02
3.5
Christine Browning
31W–31L career · type A · no lines in 2022
58%42%<1%
2.98
Natasha Beaugh
11W–9L career · no lines in 2022
88%12%<1%
2.85
3
Erica Wilson
24W–46L career · 4 lines in 2022
2%94%4%
2.77
3
Diane Lee
29W–20L career · no lines in 2022
not enough data
3
Lara Dye
8W–14L career · no lines in 2022
6%93%1%
2.70
Kathy Sonnier
19W–21L career · no lines in 2022
0%52%48%
2.49
Lisa McIntire
17W–21L career · no lines in 2022
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.