Teams

2HV-MOORE 30WOMEN SING SEM F1

2024 SEM FALL TEAM SINGLES · WOMEN 3.0 SINGLES SEM

9 players · average NTRP 3.29 / 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 →
Schedule6 played
2024-12-06vs 1CHIP-JANG 30WOMEN SING SEM F1Won 30
W#1 SinglesKaitlyn Moore vs Huimin Ponchart6-3, 6-2
W#2 SinglesNina Sober vs Kristen Verhey7-5, 4-3
W#3 SinglesNoelle Todd vs Sheila Schorer6-2, 6-0
2024-11-16vs 3LIB-INOUE 30WOMEN SING SEM F1Won 30
W#1 SinglesEva Bieniek vs Stephanie Burke6-3, 2-2
W#2 SinglesKaitlyn Moore vs Aya Inoue6-2, 6-0
W#3 SinglesNina Sober vs Janet Johnston6-2, 4-2
2024-11-09vs 1CHIP-JANG 30WOMEN SING SEM F1Won 30
W#1 SinglesAubrey Pavlik vs Kristen Verhey6-2, 6-1
W#2 SinglesKaitlyn Moore vs Sheila Schorer6-2, 6-1
W#3 SinglesCarolynn Hayman vs Maggie Scheurer6-2, 6-3
2024-10-26vs 3LIB-INOUE 30WOMEN SING SEM F1Won 30
W#1 SinglesEva Bieniek vs Kate Tremel6-3, 6-0
W#2 SinglesNoelle Todd vs Suyun Lee6-2, 6-0
W#3 SinglesAubrey Pavlik vs N/A6-0, 6-0
2024-10-18vs 1CHIP-JANG 30WOMEN SING SEM F1Split 11
L#1 SinglesBarbara Kramer vs Huimin Ponchart4-6, 5-4
W#2 SinglesMAHI VENKAT vs Sheila Schorer7-5, 1-0
2024-09-27vs 3LIB-INOUE 30WOMEN SING SEM F1Won 30
W#1 SinglesAubrey Pavlik vs Qi Gao6-1, 3-5
W#2 SinglesKaitlyn Moore vs Stephanie Burke6-4, 6-2
W#3 SinglesBarbara Kramer vs Aya Inoue6-1, 6-2
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 3.0 SINGLES SEM
TeamWLInd. WInd. LSets lostGames lost
12EAST-THOMAS 30WOMEN SING SEM F28121618183
23TROY-HOVEY 30WOMEN SING SEM F37221615173
31WESS-WEHBE 30WOMEN SING SEM F272171021183
42HV-MOORE 30WOMEN SING SEM F160171272
52WESS-BROWN 30WOMEN SING SEM F363151225223
64FAC-LEWIS 30WOMEN SING SEM F345131424212
71CHIP-JANG 30WOMEN SING SEM F1339920147
84SCWB-FLANNERY 30WOMEN SING SEM F236111634232
91LIFE-DEJAEGER 30WOMEN SING SEM F31852245291
103LIB-INOUE 30WOMEN SING SEM F10611731190
113FAC-URQUHART 30WOMEN SING SEM F20952241261

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 3.09 estimated across 8 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.

3.46
Aubrey Pavlik
usually #1 Singles 67%, also #3 Singles 33% · published 3.5
3.40
Eva Bieniek
usually #1 Singles 100% · published 3.5
3.30
Noelle Todd
usually #2 Singles 50%, also #3 Singles 50% · published 3.5
3.29
Kaitlyn Moore
usually #2 Singles 75%, also #1 Singles 25% · published
3.20
Nina Sober
usually #3 Singles 50%, also #2 Singles 50% · published 3.5
2.72
Carolynn Hayman
usually #3 Singles 100% · published 3
2.69
Susan Najita
published 3
2.64
Barbara Kramer
usually #1 Singles 50%, also #3 Singles 50% · published 3
MAHI VENKAT
usually #2 Singles 100% · 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.

Noelle Todd + Kaitlyn Moore5258% games+8.8% vs expected
Barbara Kramer + Carolynn Hayman224 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.

3.5
Aubrey Pavlik
46W–5L career · 3 lines in 2024
<1%61%39%
3.46
3.5
Eva Bieniek
70W–63L career · 2 lines in 2024
<1%75%24%
3.40
3.5
Noelle Todd
78W–38L career · 2 lines in 2024
1%90%8%
3.30
Kaitlyn Moore
91W–56L career · 4 lines in 2024
2%91%7%
3.29
3.5
Nina Sober
148W–72L career · 2 lines in 2024
8%91%2%
3.20
3
Carolynn Hayman
69W–87L career · 1 line in 2024
6%92%2%
2.72
3
Susan Najita
36W–45L career · no lines in 2024
9%89%1%
2.69
3
Barbara Kramer
54W–58L career · 2 lines in 2024
16%83%<1%
2.64
MAHI VENKAT
52W–72L career · 1 line in 2024
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.