Teams

LS:McAuliffe

Thames Valley · Women's 1

18 players · average NTRP 3.62 / SOUTHERN CONNECTICUT

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 standings6 teams · Women's 1
TeamWLInd. WInd. LSets lostGames lost
1OSB:Martindale/O'Neil010181234306
2LS:Foster/Belliveau010151535298
3LS:McAuliffe01092145359
4COMO:Coleman/Welch01072351347
5NHLC:Daley/Panico011221123234
6GF:Boone/Lefler011221125228

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

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 3.26 estimated across 13 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.

3.74
Laurie Zrenda
published
3.67
Karin Fisher
published
3.54
Doreen Fratoni
published 4
3.54
Roisin MacKey
published
3.50
Leah Ward
published
3.43
Kathleen Kenyon
published
3.33
Suzanne Mc Auliffe
published
3.25
Mary Ellen Mooney
published
3.25
Cathy Landers
published 3.5
Debra Chamberlain
published 3.5
3.18
Carol Strafaci
published 3.5
2.90
Kim de Matteo
published
2.62
Marylee Telford
published
2.45
Linda Casey
published
Karen Ulrich
published
Lisa Dibacco
published
Mary-Anne Topulos
published
Sheryl Ash
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.

Leah Ward + Laurie Zrenda142048% games+0.8% vs expected
Leah Ward + Mary Ellen Mooney2345% games−0.3% vs expected
Leah Ward + Suzanne Mc Auliffe162049% games−0.7% vs expected
Laurie Zrenda + Kim de Matteo7159% games−1.2% vs expected
Suzanne Mc Auliffe + Mary Ellen Mooney81346% games−2.0% vs expected
Karin Fisher + Cathy Landers111251% games−2.8% vs expected
Lisa Dibacco + Roisin MacKey1448% games−4.1% vs expected
Suzanne Mc Auliffe + Roisin MacKey1644% games−4.2% 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.

Laurie Zrenda
52W–43L career · no lines in 2022
3%95%2%
3.74
Karin Fisher
22W–35L career · no lines in 2022
10%89%1%
3.67
4
Doreen Fratoni
27W–37L career · no lines in 2022
36%64%<1%
3.54
Roisin MacKey
96W–89L career · no lines in 2022
<1%36%64%
3.54
Leah Ward
135W–152L career · no lines in 2022
52%48%<1%
3.50
Kathleen Kenyon
43W–31L career · no lines in 2022
<1%71%29%
3.43
Suzanne Mc Auliffe
111W–172L career · no lines in 2022
91%9%<1%
3.33
Mary Ellen Mooney
67W–98L career · no lines in 2022
2%95%3%
3.25
3.5
Cathy Landers
48W–48L career · type A · no lines in 2022
3%95%3%
3.25
3.5
Debra Chamberlain
51W–41L career · type S · no lines in 2022
not enough data
3.5
Carol Strafaci
56W–63L career · no lines in 2022
8%91%1%
3.18
Kim de Matteo
57W–84L career · no lines in 2022
78%22%<1%
2.90
Marylee Telford
57W–84L career · no lines in 2022
17%83%<1%
2.62
Linda Casey
26W–104L career · no lines in 2022
66%34%<1%
2.45
Karen Ulrich
8W–15L career · no lines in 2022
not enough data
Lisa Dibacco
68W–88L career · no lines in 2022
not enough data
Mary-Anne Topulos
26W–22L career · no lines in 2022
not enough data
Sheryl Ash
34W–60L 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.