Teams

KTC-Wu

2022 OH OV FALL A18&O · Fall 3.5 Women Weekend Dayton

13 players · average NTRP 3.12 / OHIO VALLEY

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
2021-10-23vs QRRC-WileyLost 14
L#1 DoublesKatie Budde / Leigh Fisher vs Christine Burkle / Tanya Rhodes2-6, 0-6
W#1 SinglesJennifer Wu vs Aimee D'Aloisio7-5, 0-6, 1-0
L#2 DoublesCarolyn Stoermer / Janet Brown vs Lisa Metzcar / Alison Davis1-6, 4-6
L#2 SinglesArielle Moorhead vs Maggie Leadman3-6, 0-6
L#3 DoublesMichelle Lewis / Ailing Weng vs Sara Walk / Laura Garza2-6, 4-6
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 Fall 3.5 Women Weekend Dayton 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 2.95 estimated across 9 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.

3.56
Jennifer Wu
usually #3 Doubles 60%, also #2 Singles 20% · published
3.27
Katie Budde
usually #1 Doubles 100% · published
3.26
Carolyn Stoermer
usually #2 Doubles 75%, also #3 Doubles 25% · published 3.5
3.11
Sydney Corbean
published
3.04
Leigh Fisher
usually #2 Doubles 33%, also #3 Doubles 33% · published
2.73
Cynthia Stevens
usually #3 Doubles 100% · published 3
2.71
Jan Tutalo
published
2.46
Alesha Heilman
published 3
2.43
Ailing Weng
usually #3 Doubles 100% · published 3
Arielle Moorhead
usually #2 Singles 100% · published
Julie Sutton
usually #3 Doubles 67%, also #1 Doubles 33% · published
Maggie Keefe
usually #2 Doubles 50%, also #3 Doubles 50% · published
Michelle Lewis
usually #1 Doubles 75%, also #2 Doubles 25% · 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.

Sydney Corbean + Leigh Fisher8451% games+12.5% vs expected
Carolyn Stoermer + Katie Budde5357% games+6.8% vs expected
Carolyn Stoermer + Leigh Fisher3351% games+4.2% vs expected
Julie Sutton + Leigh Fisher2344% games+2.6% vs expected
Cynthia Stevens + Carolyn Stoermer4941% games−4.0% vs expected
Cynthia Stevens + Katie Budde3645% games−5.1% vs expected
Jan Tutalo + Alesha Heilman1836% games−6.3% vs expected
Alesha Heilman + Leigh Fisher1531% games−9.4% vs expected
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.

Jennifer Wu
210W–144L career · 5 lines in 2022
<1%32%68%
3.56
Katie Budde
57W–57L career · 1 line in 2022
2%94%4%
3.27
3.5
Carolyn Stoermer
61W–68L career · 4 lines in 2022
2%95%3%
3.26
Sydney Corbean
77W–58L career · no lines in 2022
19%81%<1%
3.11
Leigh Fisher
31W–59L career · 3 lines in 2022
38%62%<1%
3.04
3
Cynthia Stevens
21W–119L career · 3 lines in 2022
4%94%2%
2.73
Jan Tutalo
9W–38L career · no lines in 2022
99%1%<1%
2.71
3
Alesha Heilman
35W–67L career · no lines in 2022
62%38%<1%
2.46
3
Ailing Weng
21W–52L career · 1 line in 2022
70%30%<1%
2.43
Arielle Moorhead
0W–1L career · 1 line in 2022
not enough data
Julie Sutton
14W–21L career · 3 lines in 2022
not enough data
Maggie Keefe
27W–34L career · 2 lines in 2022
not enough data
Michelle Lewis
37W–45L career · 4 lines in 2022
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.