Teams

C 7.5W GR Daily

2025 NEOTA Combo · NEOTA 7.5 Combo Women

13 players · average NTRP 3.62 / 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
2025-11-23vs C 7.5W NC GambyWon 21
W#1 DoublesEmma Deluca / Katarina Jovanovic vs Cindy Gamby / Stephanie Houston6-4, 6-1
W#2 DoublesMelissa Owen / Tara Bowers vs Kay McHolm / Michelle Evanto7-5, 6-0
L#3 DoublesJulie Deluca / Christina Terzola vs Renee Weaver / Kim Broadwater6-4, 2-6, 0-1
2025-11-14vs C 7.5W CC GarsonLost 12
L#1 DoublesTrisha Kohut / Michelle Ross vs Brooke Garson / Natalie Marotta3-6, 3-6
L#2 DoublesJulie Deluca / Denise Fehr vs Meghan McCaulley / Colleen Rice3-6, 3-6
W#3 DoublesLoralee Daily / Ginger Neely vs Tisha Bell / Nancy Sobecks6-2, 6-3
2025-10-17vs C 7.5W NC GambyLost 03
L#1 DoublesLoralee Daily / Michelle Ross vs Cindy Gamby / Stephanie Bailey4-6, 5-7
L#2 DoublesMelissa Owen / Rochelle Kaiser vs Molly White / Kim Broadwater2-6, 2-6
L#3 DoublesTrisha Kohut / Denise Fehr vs Michelle Simmons / Stephanie Houston1-6, 0-6
2025-10-12vs C 7.5W CC GarsonLost 12
L#1 DoublesEmma Deluca / Michelle Ross vs Beth Smith / Shelby Novick2-6, 4-6
L#2 DoublesJulie Deluca / Denise Fehr vs Meghan McCaulley / Rosemary Cugliari5-7, 3-6
W#3 DoublesJill Hanigofsky / Ginger Neely vs Natalie Marotta / Angela Dyer7-5, 6-4
2025-09-21vs C 7.5W SP1 GrauelSplit 11
W#1 DoublesEmma Deluca / Katarina Jovanovic vs Alison Snook / Sarah Grauel6-3, 6-1
L#2 DoublesMelissa Owen / Rochelle Kaiser vs Laurel Marsillo / Michelle Blanda6-7, 2-6
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 standings17 teams · NEOTA 7.5 Combo Women
TeamWLInd. WInd. LSets lostGames lost
1C 7.5W KI Lightner9124614192
2C 7.5W PW1 Boeckman9124616200
3C 7.5W MV1 Kirchick82191127251
4C 7.5W SP2 Gray64171333267
5C 7.5W NC Gamby5316820178
6C 7.5W GR Daily53131123187
7C 7.5W WR Petty55181231271
8C 7.5W MV2 Zhang55161433268
9C 7.5W NR Bartram55161434269
10C 7.5W CC Garson44121225191
11C 7.5W TP Schaffner44111330247
12C 7.5W AVB Hendricks46141637278
13C 7.5W LT Ruggles3792142274
14C 7.5W PW2 Dewerth37102043322
15C 7.5W SP1 Grauel2681633236
16C 7.5W CSC Goldberg2852551335
17C 7.5W CRC Ro1982248326

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 3.56 estimated across 10 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.

4.01
Jill Hanigofsky
usually #1 Doubles 60%, also #2 Doubles 20% · published
3.95
Katarina Jovanovic
usually #1 Doubles 100% · published
3.88
Emma Deluca
usually #1 Doubles 100% · published 4
3.77
Loralee Daily
usually #3 Doubles 50%, also #1 Doubles 50% · published
3.64
Julie Deluca
usually #2 Doubles 67%, also #3 Doubles 33% · published
3.56
Trisha Kohut
usually #1 Doubles 50%, also #3 Doubles 50% · published
3.52
Christina Terzola
usually #2 Doubles 33%, also #3 Doubles 33% · published 4
3.26
Tara Bowers
usually #1 Doubles 50%, also #2 Doubles 50% · published
3.14
Denise Fehr
usually #2 Doubles 67%, also #3 Doubles 33% · published 3.5
2.90
Ginger Neely
usually #3 Doubles 75%, also #1 Doubles 25% · published 3
Melissa Owen
published
Michelle Ross
published
Rochelle Kaiser
usually #2 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.

Christina Terzola + Tara Bowers6259% games+6.9% vs expected
Tara Bowers + Denise Fehr2347% games+6.2% vs expected
Loralee Daily + Jill Hanigofsky271057% games+6.1% vs expected
Christina Terzola + Denise Fehr6354% games+5.6% vs expected
Jill Hanigofsky + Julie Deluca4354% games+4.5% vs expected
Jill Hanigofsky + Denise Fehr4355% games+1.9% vs expected
Loralee Daily + Trisha Kohut171448% games−4.3% vs expected
Loralee Daily + Julie Deluca71141% games−5.5% 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.

Jill Hanigofsky
152W–97L career · 5 lines in 2025
47%53%<1%
4.01
Katarina Jovanovic
17W–2L career · 2 lines in 2025
<1%65%35%
3.95
4
Emma Deluca
30W–26L career · 3 lines in 2025
<1%81%19%
3.88
Loralee Daily
112W–89L career · 2 lines in 2025
2%94%4%
3.77
Julie Deluca
65W–76L career · 3 lines in 2025
14%86%<1%
3.64
Trisha Kohut
61W–79L career · 2 lines in 2025
31%69%<1%
3.56
4
Christina Terzola
103W–73L career · 3 lines in 2025
42%58%<1%
3.52
Tara Bowers
65W–81L career · 2 lines in 2025
2%94%3%
3.26
3.5
Denise Fehr
101W–102L career · 3 lines in 2025
15%85%<1%
3.14
3
Ginger Neely
69W–84L career · 4 lines in 2025
<1%77%23%
2.90
Melissa Owen
46W–35L career · no lines in 2025
not enough data
Michelle Ross
35W–50L career · no lines in 2025
not enough data
Rochelle Kaiser
12W–29L career · 2 lines in 2025
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.