Teams

A18 2.5W LT Mitchell

2023 NEOTA Adult 18 & Over · NEOTA A18&O 2.5 Women Spring

14 players · average NTRP 2.75 / 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 →
Schedule5 played
2023-04-29vs A18 2.5W TP2 LefflerLost 01
L#2 DoublesKathy Arther / Milly Catalano vs Susan Reese / LISA BATES5-7, 3-6
2023-03-25vs A18 2.5W NC2 BlakeLost 01
L#1 DoublesMarianne Ferrato / Milly Catalano vs Kerri Salvino / Angie Adams5-7, 5-7
2023-03-11vs A18 2.5W TP2 LefflerWon 10
W#1 DoublesMarianne Ferrato / Milly Catalano vs Tracy Campbell / Katherine Harris6-2, 7-5
2023-03-04vs A18 2.5W GR FosterLost 01
L#2 DoublesMilly Catalano / Lucinda Donze vs Carol Jackson / Jennifer Diroll3-6, 6-7
2023-02-04vs A18 2.5W PM2 TopleLost 01
L#1 DoublesMarianne Ferrato / Milly Catalano vs Valerie Quist / Anne Canon2-6, 6-3, 0-1
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 standings9 teams · NEOTA A18&O 2.5 Women Spring
TeamWLInd. WInd. LSets lostGames lost
1A18 2.5W NC Adams8222820225
2A18 2.5W CRC Goldsmith64181226230
3A18 2.5W PW Hensley55161431255
4A18 2.5W PM Tople55151535268
5A18 2.5W TP Laux55141635278
6A18 2.5W WR Bolbach46121838288
7A18 2.5W CV Fromson37131738285
8A18 2.5W MV Wortmann37111940294
9A18 2.5W LT Mitchell1982246314

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 2.47 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.

3.00
Elizabeth Meloy
usually #2 Doubles 50%, also #1 Doubles 43% · published 3
2.80
Amy McDougal
usually #1 Singles 55%, also #2 Doubles 27% · published 3
2.50
Michelle Pinnow
usually #2 Doubles 60%, also #1 Doubles 30% · published
2.37
Milly Catalano
usually #1 Doubles 60%, also #2 Doubles 40% · published
2.35
Sarah Goel
usually #1 Singles 50%, also #1 Doubles 25% · published
Beatrica Kovacova
usually #1 Doubles 63%, also #2 Doubles 38% · published 2.5
Debbie Clark
published 2.5
1.78
Kathy Arther
usually #2 Doubles 57%, also #1 Singles 29% · published
Lucinda Donze
usually #2 Doubles 54%, also #1 Doubles 46% · published
Marianne Ferrato
usually #1 Doubles 73%, also #1 Singles 18% · published
Rachael Pohle-Krauza
usually #2 Doubles 50%, also #1 Singles 25% · published
Sandra Hunsicker
usually #1 Doubles 75%, also #2 Doubles 25% · published
Sierra Hampl
usually #2 Doubles 44%, also #1 Singles 44% · published
Susan Paponetti
usually #2 Doubles 71%, also #1 Doubles 29% · 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.

Michelle Pinnow + Sarah Goel11359% games+13.4% vs expected
Marianne Ferrato + Lucinda Donze2444% games−0.7% vs expected
Amy McDougal + Elizabeth Meloy121249% games−2.8% vs expected
Lucinda Donze + Elizabeth Meloy314 matchesnot enough data
Marianne Ferrato + Milly Catalano123 matchesnot enough data
Sandra Hunsicker + Lucinda Donze303 matchesnot enough data
Susan Paponetti + Michelle Pinnow213 matchesnot enough data
Michelle Pinnow + Elizabeth Meloy213 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
Elizabeth Meloy
81W–55L career · 14 lines in 2023
<1%51%49%
3.00
3
Amy McDougal
28W–40L career · 11 lines in 2023
1%93%6%
2.80
Michelle Pinnow
34W–27L career · 10 lines in 2023
0%51%49%
2.50
Milly Catalano
14W–19L career · 5 lines in 2023
0%84%16%
2.37
Sarah Goel
21W–16L career · 8 lines in 2023
0%88%12%
2.35
2.5
Beatrica Kovacova
9W–14L career · 8 lines in 2023
not enough data
2.5
Debbie Clark
12W–15L career · no lines in 2023
not enough data
Kathy Arther
0W–18L career · 7 lines in 2023
0%>99%<1%
1.78
Lucinda Donze
17W–23L career · 13 lines in 2023
not enough data
Marianne Ferrato
35W–40L career · 11 lines in 2023
not enough data
Rachael Pohle-Krauza
4W–15L career · 8 lines in 2023
not enough data
Sandra Hunsicker
45W–45L career · 4 lines in 2023
not enough data
Sierra Hampl
1W–11L career · 9 lines in 2023
not enough data
Susan Paponetti
11W–14L career · 7 lines in 2023
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.