Teams

OD 3.5W Siegel

2023 NEOTA One-Doubles · NEOTA OD 3.5 Women

4 players · average NTRP 3.50 / NORTHEASTERN OHIO

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 →
Schedule8 played
2023-07-18vs OD 3.5W LightnerLost 01
L#1 DoublesJennifer Wrubel / Rona Adams-Brody vs Elyse Lightner / Hannah Ruddock4-6, 0-6
2023-07-13vs OD 3.5W MikolichLost 01
L#1 DoublesJennifer Wrubel / Shelly Siegel vs Amanda de Leon / Sara Verespej7-6, 6-7, 0-1
2023-06-27vs OD 3.5W StitzleinWon 10
W#1 DoublesJennifer Wrubel / Erin Oakley vs Kathy Stitzlein / Kathryn Wiggam6-0, 7-6
2023-06-23vs OD 3.5W BeebeWon 10
W#1 DoublesShelly Siegel / Rona Adams-Brody vs Shelley Beebe / Kristin Hofer7-5, 6-3
2023-06-07vs OD 3.5W ReidWon 10
W#1 DoublesJennifer Wrubel / Rona Adams-Brody vs Ann Dewerth / Katherine Reid6-4, 6-3
2023-06-06vs OD 3.5W DeBoth FoustLost 01
L#1 DoublesJennifer Wrubel / Erin Oakley vs Kelle DeBoth / Melissa Durbin5-7, 4-6
2023-06-02vs OD 3.5W ButlerWon 10
W#1 DoublesShelly Siegel / Erin Oakley vs Dana Butler / Angela Dyer6-4, 1-6, 1-0
2023-05-23vs OD 3.5W ScovilWon 10
W#1 DoublesRona Adams-Brody / Shelly Siegel vs Jennifer Greer / Kate Scovil6-2, 5-7, 1-0
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 standings14 teams · NEOTA OD 3.5 Women
TeamWLInd. WInd. LSets lostGames lost
1OD 3.5W DeBoth Foust7171464
2OD 3.5W Lightner6262563
3OD 3.5W Butler6262653
4OD 3.5W Hart5353663
5OD 3.5W O'Shaughnessy5353759
6OD 3.5W Mikolich5353761
7OD 3.5W Siegel5353879
8OD 3.5W Prindle4444863
9OD 3.5W Stitzlein4444874
10OD 3.5W Lynch4444973
11OD 3.5W Scovil35351289
12OD 3.5W Reid26261389
13OD 3.5W Lurie08081692
14OD 3.5W Beebe08081698

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 3.17 estimated across 4 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.

3.37
Jennifer Wrubel
usually #1 Doubles 100% · published
3.13
Shelly Siegel
usually #1 Doubles 100% · published
3.11
Rona Adams-Brody
usually #1 Doubles 100% · published
3.10
Erin Oakley
usually #1 Doubles 100% · published 3.5
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.

Erin Oakley + Shelly Siegel7451% games+0.4% vs expected
Rona Adams-Brody + Jennifer Wrubel6258% games+0.1% vs expected
Jennifer Wrubel + Erin Oakley4352% games−2.1% vs expected
Rona Adams-Brody + Shelly Siegel8749% games−8.0% 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 Wrubel
78W–55L career · 5 lines in 2023
<1%85%15%
3.37
Shelly Siegel
43W–63L career · 4 lines in 2023
16%83%<1%
3.13
Rona Adams-Brody
74W–70L career · 4 lines in 2023
21%79%<1%
3.11
3.5
Erin Oakley
23W–21L career · 3 lines in 2023
22%78%<1%
3.10

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.