Teams

LCTA18/Bjork-Zhang/LTP-DI

LCTA 18 & Over Fall League · 18 & over Fall League Women 3.5 Night

15 players · average NTRP 3.50 / 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 standings13 teams · 18 & over Fall League Women 3.5 Night
TeamWLInd. WInd. LSets lostGames lost
1LCTA18/Summers/MPR000000
2LCTA18/RICHTER/MPR000000
3LCTA18/Britton-Crary/Maybank000000
4LCTA18/White/Maybank000000
5LCTA18/Godfrey-Jackson/CTC000000
6LCTA18/Austin-Pogrob/Creekside000000
7LCTA18/Boyd-Hiers Creekside000000
8LCTA18/Bjork-Zhang/LTP-DI000000
9LCTA18/Mahony-Hoffman/Brickyard000000
10LCTA18/Kubu/Snee Farm000000
11LCTA18/Pernell/MPR000000
12LCTA18/Stuart/Danny Jones000000
13LCTA18/Christopher/CTC000000

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 3.16 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.

3.53
Suzie Zhang
published
3.35
Janelle Maffucci
published
3.28
Amy Gege
published 3.5
Amy Etheridge
published 3.5
JENNIFER ESSE
published 3.5
3.24
Penny Hoey
published
3.23
Karen SZEGI-Wimpey
published
3.21
Jennifer Bjork
published
3.16
Angela Parrott
published 3.5
3.12
Madeline Leo
published
3.12
Heather McGrath
published 3.5
3.09
Nell Hinchey
published
3.06
Jennifer Tallmadge
published
2.96
Katherine Matthews
published
2.74
Lee Henggeler
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.

Angela Parrott + Karen SZEGI-Wimpey8454% games+4.3% vs expected
Jennifer Bjork + Nell Hinchey3442% games−4.0% vs expected
Jennifer Tallmadge + Suzie Zhang1446% games−5.1% vs expected
Jennifer Bjork + Suzie Zhang303 matchesnot enough data
Angela Parrott + Heather McGrath123 matchesnot enough data
Angela Parrott + Amy Gege213 matchesnot enough data
Karen SZEGI-Wimpey + Penny Hoey123 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.

Suzie Zhang
61W–44L career · no lines in 2026
<1%41%59%
3.53
Janelle Maffucci
59W–20L career · no lines in 2026
<1%87%12%
3.35
3.5
Amy Gege
49W–41L career · type A · no lines in 2026
2%94%4%
3.28
3.5
Amy Etheridge
23W–37L career · no lines in 2026
not enough data
3.5
JENNIFER ESSE
3W–4L career · no lines in 2026
not enough data
Penny Hoey
55W–68L career · no lines in 2026
3%94%2%
3.24
Karen SZEGI-Wimpey
63W–60L career · no lines in 2026
4%94%2%
3.23
Jennifer Bjork
56W–54L career · no lines in 2026
6%93%1%
3.21
3.5
Angela Parrott
72W–75L career · type A · no lines in 2026
11%89%<1%
3.16
Madeline Leo
3W–8L career · no lines in 2026
18%82%<1%
3.12
3.5
Heather McGrath
24W–32L career · type A · no lines in 2026
19%81%<1%
3.12
Nell Hinchey
40W–56L career · no lines in 2026
24%75%<1%
3.09
Jennifer Tallmadge
32W–73L career · no lines in 2026
31%69%<1%
3.06
Katherine Matthews
39W–26L career · no lines in 2026
<1%63%37%
2.96
Lee Henggeler
24W–22L career · no lines in 2026
3%94%2%
2.74

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.