Teams

OD 3.0W PCC McLean

2024 NEOTA One-Doubles · NEOTA A18&O 3.0 Women

4 players · average NTRP 3.00 / NORTHEASTERN OHIO

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

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Schedule7 played
2024-07-13vs OD 3.0W BR TsaiLost 01
L#1 DoublesTracy McLean / Erica Gerstenmaier vs Wendi Preston / Stephanie Bailey0-6, 1-6
2024-06-22vs OD 3.0W CRC GartenLost 01
L#1 DoublesStacie Switzer / Danielle Kimmell vs Hillary Veverka / Neeti Wyckoff1-6, 1-6
2024-06-15vs OD 3.0W LT KaraLost 01
L#1 DoublesErica Gerstenmaier / Stacie Switzer vs Carolyn Kara / Megan Ha3-6, 1-6
2024-06-08vs OD 3.0W CV2 UrbanowskiLost 01
L#1 DoublesTracy McLean / Danielle Kimmell vs Lauren Erb / Stefanie Currington2-6, 4-6
2024-06-08vs OD 3.0W MV BradyLost 01
L#1 DoublesErica Gerstenmaier / Stacie Switzer vs Liza Brady / Denise Hwang2-6, 0-6
2024-06-01vs OD 3.0W GIS NeelyLost 01
L#1 DoublesTracy McLean / Stacie Switzer vs Val Belcher / Kara Wedekamm6-0, 5-7, 0-1
2024-05-18vs OD 3.0W PM KalasWon 10
W#1 DoublesDanielle Kimmell / Erica Gerstenmaier vs Natasha Kalas / Gaby Cases7-6, 6-4
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 · NEOTA A18&O 3.0 Women
TeamWLInd. WInd. LSets lostGames lost
1OD 3.0W PW Frazier7171463
2OD 3.0W BR Tsai6262553
3OD 3.0W MV Brady5252440
4OD 3.0W CRC Garten5353664
5OD 3.0W LT Kara5353876
6OD 3.0W GIS Neely5353968
7OD 3.0W CV2 Urbanowski4343865
8OD 3.0W CV1 Derbyshire34341063
9OD 3.0W PCC McLean16161278
10OD 3.0W PM Kalas17171491
11OD 3.0W BA Nelson08081689

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 2.55 estimated across 3 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.

2.91
Danielle Kimmell
usually #1 Doubles 100% · published 3
2.48
Erica Gerstenmaier
usually #1 Doubles 100% · published 3
2.25
Tracy McLean
usually #1 Doubles 100% · published
Stacie Switzer
usually #1 Doubles 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.

Tracy McLean + Stacie Switzer6850% games−3.6% vs expected
Tracy McLean + Erica Gerstenmaier5453% gamesnot enough data
Stacie Switzer + Erica Gerstenmaier2342% gamesnot enough data
Erica Gerstenmaier + Danielle Kimmell213 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
Danielle Kimmell
44W–37L career · 3 lines in 2024
<1%76%24%
2.91
3
Erica Gerstenmaier
35W–34L career · 4 lines in 2024
55%45%<1%
2.48
Tracy McLean
23W–29L career · 3 lines in 2024
0%97%3%
2.25
Stacie Switzer
27W–41L career · 4 lines 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.