Teams

KTC-Wu

2022 OH OV WINTER A18&O · 2022 Winter A18&O 3.5 Women Weekend

13 players · average NTRP 3.17 / 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 →
Flight standings10 teams · 2022 Winter A18&O 3.5 Women Weekend
TeamWLInd. WInd. LSets lostGames lost
1FSSC-Day110451029354
2SRTC-Wilkins83361952429
3STC-LaPole74262963488
4KTC-Phillips56253066472
5STC-Brown47253069518
6KTC-Wu47243170529
7KTC-Coffman47243171528
8FSSC-McDougall47213479547
9QRRC-Augustine29193683577
10KTC-Gustafson29134287582

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 3.00 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 #1 Singles 100% · published
3.27
Katie Budde
published
3.26
Carolyn Stoermer
usually #2 Doubles 50%, also #2 Singles 25% · published 3.5
3.13
Lorena Esparza
usually #2 Doubles 80%, also #1 Doubles 20% · published
3.11
Sydney Corbean
usually #2 Singles 67%, also #1 Singles 17% · published
3.04
Leigh Fisher
published
2.71
Jan Tutalo
published
2.46
Alesha Heilman
published 3
2.43
Ailing Weng
published 3
Arielle Moorhead
published
Julie Sutton
usually #2 Doubles 50%, also #3 Doubles 50% · published
Maggie Keefe
usually #2 Doubles 75%, also #1 Doubles 25% · 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
Lorena Esparza + Katie Budde10657% games+7.3% 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
Lorena Esparza + Carolyn Stoermer7750% games+0.4% vs expected
Lorena Esparza + Sydney Corbean2344% games−4.4% vs expected
Jan Tutalo + Alesha Heilman1836% games−6.3% 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 · 1 line in 2022
<1%32%68%
3.56
Katie Budde
57W–57L career · no lines in 2022
2%94%4%
3.27
3.5
Carolyn Stoermer
61W–68L career · 4 lines in 2022
2%95%3%
3.26
Lorena Esparza
38W–60L career · 5 lines in 2022
15%85%<1%
3.13
Sydney Corbean
77W–58L career · 6 lines in 2022
19%81%<1%
3.11
Leigh Fisher
31W–59L career · no lines in 2022
38%62%<1%
3.04
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 · no lines in 2022
70%30%<1%
2.43
Arielle Moorhead
0W–1L career · no lines in 2022
not enough data
Julie Sutton
14W–21L career · 4 lines in 2022
not enough data
Maggie Keefe
27W–34L career · 4 lines in 2022
not enough data
Michelle Lewis
37W–45L career · 8 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.