Teams

3HV-Ehrman 35 WOMEN fall SINGLES F1

2025 cSEM FALL TEAM SINGLES · WOMEN 3.5 SINGLES SEM

10 players · average NTRP 3.57 / S.E. MICHIGAN

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 →
Schedule8 played
L#1 SinglesAmy Gillett vs Ashley Mooney1-6, 3-6
L#2 SinglesStephanie Preston vs Julia Ditmore3-6, 2-5
W#3 SinglesRosa Lee vs Qi Gao6-4, 2-1
W#1 SinglesAmy Gillett vs Susi Shaw6-3, 3-4
W#2 SinglesCori Peng vs Elizabeth Caswell0-6, 6-4, 1-0
W#3 SinglesKatherine Arst vs Marilyn Woolfolk7-6, 2-1
L#1 SinglesLeslie Ehrman vs Elena Haviland2-6, 3-6
L#2 SinglesKatherine Arst vs Lucy Chen4-6, 2-6
L#1 SinglesAlisa Clark vs Ellen McKenzie1-6, 3-4
W#2 SinglesStephanie Preston vs Eva Bieniek6-2, 6-0
W#3 SinglesAubrey Pavlik vs Kristin Kelly6-2, 4-4
L#1 SinglesLeslie Ehrman vs Katie Sandison3-6, 3-5
W#2 SinglesAlisa Clark vs Ashley Mooney7-5, 2-1
W#3 SinglesStephanie Preston vs Julia Ditmore2-6, 6-4, 1-0
W#1 SinglesSherry Aujla vs Cynthia Gur-Arie6-1, 6-2
W#2 SinglesLeslie Ehrman vs Padma Nallamothu6-1, 6-1
W#3 SinglesAlisa Clark vs Elizabeth Shadigian6-1, 6-0
W#1 SinglesCori Peng vs Lori Sella-Armstrong6-1, 3-5
L#2 SinglesAlisa Clark vs Yena Kim3-6, 4-2
W#3 SinglesAmy Gillett vs N/A6-0, 6-0
W#1 SinglesAlisa Clark vs Ellen McKenzie6-4, 5-2
W#2 SinglesStephanie Preston vs Kelley Guthrie6-3, 5-4
W#3 SinglesCori Peng vs Kristin Kelly6-1, 6-1
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 standings11 teams · WOMEN 3.5 SINGLES SEM
TeamWLInd. WInd. LSets lostGames lost
12PEACH-Mazur 35 WOMEN fall SINGLES F28222816196
23HV-Ehrman 35 WOMEN fall SINGLES F16217717156
36LIB-Marley 35 WOMEN fall SINGLES F15317713122
45SCWB-Chen 35 WOMEN fall SINGLES F255151527235
54BRC-Noser 35 WOMEN fall SINGLES F255151529238
64HV-McKenzie 35 WOMEN fall SINGLES F144101430207
71EAST-Klaasen 35 WOMEN fall SINGLES F246151532230
86LT-Lamar 35 WOMEN fall SINGLES F246121839270
93BEV-Moore 35 WOMEN fall SINGLES F246111942258
101CHIP-Shaw 35 WOMEN fall SINGLES F13581632209
112VTC-Haessler 35 WOMEN fall SINGLES F12681630210

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 3.41 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.

3.74
Leslie Ehrman
usually #1 Singles 67%, also #2 Singles 33% · published 4
3.49
Amy Gillett
usually #1 Singles 67%, also #3 Singles 33% · published 3.5
3.47
Sherry Aujla
usually #1 Singles 100% · published
3.46
Aubrey Pavlik
usually #3 Singles 100% · published 3.5
3.43
Cori Peng
usually #3 Singles 33%, also #1 Singles 33% · published 3.5
3.39
Stephanie Preston
usually #2 Singles 75%, also #3 Singles 25% · published
3.37
Alisa Clark
usually #1 Singles 40%, also #2 Singles 40% · published 3.5
3.36
Katherine Arst
usually #2 Singles 50%, also #3 Singles 50% · published 3.5
3.29
Rosa Lee
usually #3 Singles 100% · published
3.11
Jane Coffey
published 3.5
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.

Katherine Arst + Rosa Lee404 matchesnot enough data
Stephanie Preston + Cori Peng303 matchesnot enough data
Leslie Ehrman + Cori Peng123 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.

4
Leslie Ehrman
132W–69L career · 3 lines in 2025
4%93%3%
3.74
3.5
Amy Gillett
94W–36L career · 3 lines in 2025
<1%52%48%
3.49
Sherry Aujla
59W–19L career · 1 line in 2025
58%42%<1%
3.47
3.5
Aubrey Pavlik
46W–5L career · 1 line in 2025
<1%61%39%
3.46
3.5
Cori Peng
84W–44L career · 3 lines in 2025
<1%69%31%
3.43
Stephanie Preston
105W–83L career · 4 lines in 2025
<1%78%22%
3.39
3.5
Alisa Clark
36W–39L career · 5 lines in 2025
<1%81%18%
3.37
3.5
Katherine Arst
118W–43L career · 2 lines in 2025
1%84%16%
3.36
Rosa Lee
66W–39L career · 1 line in 2025
2%91%7%
3.29
3.5
Jane Coffey
98W–132L career · no lines in 2025
21%78%<1%
3.11

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.