Teams

LCTA40/KIRSLING/MPR

2022 USTA 40 & Over Spring · 40 & over Women - 4.0 Day

14 players · average NTRP 3.83 / 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 40 & over Women - 4.0 Day 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 3.61 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.

3.83
Molly Sapienza
published
3.82
Julia Kirsling
published
3.79
Carolyn Fennell
published 4
3.70
Wendy Sharp
published
3.70
Alexandra Mears
published 4
3.70
Debbie Michael
published 4
3.63
Karen Gentile
published
3.62
Betty Randolph
published 4
3.37
Wendy Pesce
published
3.31
Hollis Barbaro
published 3.5
3.26
Elaine Endicott
published 3.5
Jennifer Rickell
published
Rebecca Williamson
published
Xiang Liu
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.

Alexandra Mears + Xiang Liu6259% games+6.4% vs expected
Debbie Michael + Xiang Liu4355% games−1.0% vs expected
Rebecca Williamson + Wendy Sharp9458% games−2.6% vs expected
Betty Randolph + Karen Gentile3552% games−2.6% vs expected
Alexandra Mears + Debbie Michael3748% games−4.1% vs expected
Alexandra Mears + Wendy Pesce3250% games−4.1% vs expected
Alexandra Mears + Carolyn Fennell4353% games−9.5% vs expected
Wendy Sharp + Molly Sapienza4253% games−10.9% 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.

Molly Sapienza
43W–23L career · no lines in 2022
1%90%10%
3.83
Julia Kirsling
52W–38L career · no lines in 2022
1%91%9%
3.82
4
Carolyn Fennell
30W–23L career · no lines in 2022
1%93%6%
3.79
Wendy Sharp
49W–22L career · no lines in 2022
6%93%1%
3.70
4
Alexandra Mears
47W–49L career · no lines in 2022
6%93%1%
3.70
4
Debbie Michael
44W–38L career · no lines in 2022
6%93%1%
3.70
Karen Gentile
22W–24L career · no lines in 2022
16%84%<1%
3.63
4
Betty Randolph
23W–44L career · no lines in 2022
18%82%<1%
3.62
Wendy Pesce
20W–32L career · no lines in 2022
85%15%<1%
3.37
3.5
Hollis Barbaro
35W–20L career · no lines in 2022
1%92%7%
3.31
3.5
Elaine Endicott
2W–3L career · type A · no lines in 2022
2%94%3%
3.26
Jennifer Rickell
1W–1L career · no lines in 2022
not enough data
Rebecca Williamson
45W–36L career · no lines in 2022
not enough data
Xiang Liu
24W–12L 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.