Teams

LCTA55/Biggs/DunesWest

2022 USTA 55 & Over Spring · Women-3.5 - Saturday

12 players · average NTRP 3.33 / SOUTH CAROLINA

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-3.5 - Saturday 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 2.95 estimated across 10 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.

Diane Patterson
published 3.5
3.24
Karen Meszaros
published
3.10
Natalie Garrett
published
3.09
Leslie Baraso
published
3.07
Lisette Glennon
published
3.03
Kim Frankel
published
3.01
Connie Biggs
published 3.5
2.82
Maria McTighe
published
2.78
Kimberly Shellnutt
published
2.76
Jenifer Lake
published
2.63
Denise Lauer
published 3
Monica Pfohl
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.

Leslie Baraso + Monica Pfohl5542% games+7.8% vs expected
Kimberly Shellnutt + Connie Biggs5350% games+6.3% vs expected
Natalie Garrett + Kim Frankel4352% games−0.0% vs expected
Jenifer Lake + Kimberly Shellnutt91347% games−0.4% vs expected
Leslie Baraso + Karen Meszaros82042% games−2.4% vs expected
Connie Biggs + Kim Frankel51440% games−3.8% vs expected
Kimberly Shellnutt + Diane Patterson2350% games−4.5% vs expected
Maria McTighe + Kim Frankel1940% games−5.7% vs expected
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.

3.5
Diane Patterson
16W–15L career · no lines in 2022
not enough data
Karen Meszaros
51W–63L career · no lines in 2022
3%95%2%
3.24
Natalie Garrett
39W–88L career · no lines in 2022
21%79%<1%
3.10
Leslie Baraso
50W–113L career · no lines in 2022
25%75%<1%
3.09
Lisette Glennon
11W–18L career · no lines in 2022
30%70%<1%
3.07
Kim Frankel
29W–59L career · no lines in 2022
40%60%<1%
3.03
3.5
Connie Biggs
31W–45L career · no lines in 2022
48%52%<1%
3.01
Maria McTighe
13W–36L career · no lines in 2022
1%91%9%
2.82
Kimberly Shellnutt
51W–53L career · no lines in 2022
2%94%5%
2.78
Jenifer Lake
32W–58L career · no lines in 2022
2%95%3%
2.76
3
Denise Lauer
10W–52L career · no lines in 2022
17%83%<1%
2.63
Monica Pfohl
9W–18L 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.