Teams

LCTA18/Sciortino/Hamlin

LCTA 18 & Over Fall League · 18 & over Fall League Women 3.0 Night

12 players · average NTRP 2.92 / 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 →
Schedule1 played
2025-11-19vs LCTA18/Cotter-Riggin/MPRSplit 22
W#1 DoublesAnne Marek / Jaclyn Cook vs Brielle Cotter / Molly Hatfield7-5, 7-6
L#2 DoublesJessica Sciortino / Cynthia Jones vs Emily Epps / Rebekah Lockhart4-6, 7-6, 0-1
L#2 SinglesLisa Nee vs Liz Hambright6-7, 3-6
W#3 DoublesJennifer Mather / Danielle Fabrega vs Bonnie Balderose / Jennifer Ireland7-5, 7-5
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 standings7 teams · 18 & over Fall League Women 3.0 Night
TeamWLInd. WInd. LSets lostGames lost
1Deucebags000000
2LCTA18/Sciortino/Hamlin000000
3LCTA18/Pfile/Maybank000000
4LCTA18/Howle/MPR000000
5LCTA18/Merlino/CTC000000
6LCTA18/Walker/MPR000000
7Fortier-Bensen/LTPDI000000

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 2.68 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.

3.14
2.99
Anya Kent
published 3
2.96
Neda Smith
published
2.91
Anne Marek
usually #1 Doubles 100% · published 3
2.83
Jaclyn Cook
usually #1 Doubles 100% · published 3
2.73
Danielle Fabrega
usually #3 Doubles 100% · published 3
2.68
Lisa Nee
usually #2 Singles 100% · published
2.59
Jennifer Mather
usually #3 Doubles 100% · published
2.56
Lori Wisiackas
published
2.38
Jessica Sciortino
usually #2 Doubles 100% · published
2.20
Kate Rogers
published
2.17
Christina Finn
published 2.5
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.

Jaclyn Cook + Anne Marek141055% games+1.1% vs expected
Jaclyn Cook + Jessica Sciortino2441% games−2.5% vs expected
Danielle Fabrega + Jennifer Mather3251% games−5.8% vs expected
Lisa Nee + Danielle Fabrega314 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.

3
Emily Caroline Hurren
34W–22L career · no lines in 2026
<1%15%85%
3.14
3
Anya Kent
66W–31L career · no lines in 2026
<1%52%48%
2.99
Neda Smith
86W–81L career · no lines in 2026
<1%61%39%
2.96
3
Anne Marek
32W–30L career · 1 line in 2026
<1%76%24%
2.91
3
Jaclyn Cook
54W–52L career · 1 line in 2026
<1%89%10%
2.83
3
Danielle Fabrega
30W–35L career · 1 line in 2026
4%94%2%
2.73
Lisa Nee
51W–56L career · 1 line in 2026
8%91%1%
2.68
Jennifer Mather
33W–39L career · 1 line in 2026
23%76%<1%
2.59
Lori Wisiackas
2W–12L career · no lines in 2026
31%69%<1%
2.56
Jessica Sciortino
37W–29L career · 1 line in 2026
82%18%<1%
2.38
Kate Rogers
4W–6L career · no lines in 2026
0%99%1%
2.20
2.5
Christina Finn
7W–14L career · type S · no lines in 2026
0%99%1%
2.17

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.