Teams

3LIB-INOUE 3.0 women win singles SEM F1

2025 aSEM WINTER TEAM SINGLES · 2025 WOMEN 3.0 WINTER SINGLES SEM

7 players · average NTRP 3.00 / 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 →
Schedule9 played
L#3 SinglesAya Inoue vs Barbara Kramer6-7, 1-2
L#1 SinglesJi Young Yun vs Carlee Meyers6-3, 2-6, 1-0
W#2 SinglesStephanie Burke vs Nina Nakamura7-5, 4-2
W#3 SinglesKate Tremel vs N/A6-0, 6-0
L#3 SinglesSuzanne Xuereb vs Marina Safroniy1-6, 1-6
W#1 SinglesJi Young Yun vs Audrey Urquhart6-4, 4-0
L#3 SinglesAya Inoue vs Anglea Vohs5-7, 4-3
L#1 SinglesStephanie Burke vs Kaitlyn Moore6-7, 1-2
L#2 SinglesSuzanne Xuereb vs Barbara Kramer1-6, 1-6
L#3 SinglesAya Inoue vs Maya Clem0-6, 1-6
W#1 SinglesJi Young Yun vs Julie Kraemer6-3, 6-5
L#3 SinglesAya Inoue vs Maria Herrmann6-7, 1-2
L#1 SinglesStephanie Burke vs Carlee Meyers4-6, 5-5
L#2 SinglesKate Tremel vs Lindsey Weitzman.2-6, 1-6
W#1 SinglesStephanie Burke vs Susan Najita6-5
L#3 SinglesJanet Johnston vs MAHI VENKAT3-6, 2-5
W#1 SinglesStephanie Burke vs Marina Safroniy7-6, 2-6, 1-0
L#2 SinglesKate Tremel vs Ranya Agha5-7, 0-6
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 standings for 2025 WOMEN 3.0 WINTER SINGLES SEM have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

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 2.80 estimated across 6 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.

3.06
Maren Dobson
published 3
3.04
Stephanie Burke
usually #1 Singles 80%, also #2 Singles 20% · published
2.73
Aya Inoue
usually #3 Singles 100% · published 3
2.72
Kate Tremel
usually #2 Singles 67%, also #3 Singles 33% · published 3
2.71
Janet Johnston
usually #3 Singles 100% · published
2.57
Suzanne Xuereb
usually #2 Singles 50%, also #3 Singles 50% · published
Ji Young Yun
usually #1 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.

Stephanie Burke + Maren Dobson4163% gamesnot 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
Maren Dobson
93W–37L career · no lines in 2025
<1%33%67%
3.06
Stephanie Burke
84W–65L career · 5 lines in 2025
<1%39%61%
3.04
3
Aya Inoue
36W–46L career · 4 lines in 2025
5%92%3%
2.73
3
Kate Tremel
62W–81L career · 3 lines in 2025
6%92%2%
2.72
Janet Johnston
82W–73L career · 1 line in 2025
7%91%2%
2.71
Suzanne Xuereb
17W–10L career · 2 lines in 2025
31%69%<1%
2.57
Ji Young Yun
9W–7L career · 3 lines in 2025
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.