Teams

F 4.0S/8.0D GR Burnett

2022 NEOTA Fusion · NEOTA 4.0S

17 players · average NTRP 3.75 / 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 →
Schedule
Flight standings7 teams · NEOTA 4.0S
TeamWLInd. WInd. LSets lostGames lost
1F 4.0S/8.0D CSC Mercer72271845395
2F 4.0S/8.0D MV Miklowski53231739311
3F 4.0S/8.0D MM Mercuri54261943358
4F 4.0S/8.0D PM Perkins54242146378
5F 4.0S/8.0D TP Schaffner45202557433
6F 4.0S/8.0D AS Wimer35152554374
7F 4.0S/8.0D GR Burnett17152555413

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 3.63 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.

4.01
Jill Hanigofsky
published
3.83
MacKenzie Cavalier
published
3.77
Loralee Daily
published
Ashley Burris
published 4
3.73
3.64
Julie Deluca
published
3.56
Trisha Kohut
published
3.53
Philip Canadas
published
3.52
Daniel Lorenz
published 3.5
Deborah Cavanagh
published 3.5
3.08
Glenn Kerr
published 3.5
Justin Kelley
published
Michelle Ross
published
Michelle Simmons
published
Scott Fletcher
published
William Burnett
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.

Philip Canadas + Scott Fletcher5348% games+9.4% vs expected
Loralee Daily + Jill Hanigofsky271057% games+6.1% vs expected
Michelle Simmons + Jill Hanigofsky31861% games+6.0% vs expected
Jill Hanigofsky + Julie Deluca4354% games+4.5% vs expected
Loralee Daily + Trisha Kohut171448% games−4.3% vs expected
Loralee Daily + Julie Deluca71141% games−5.5% vs expected
Trisha Kohut + Julie Deluca9848% games−7.1% vs expected
William Burnett + Philip Canadas2443% gamesnot 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.

Jill Hanigofsky
152W–97L career · no lines in 2022
47%53%<1%
4.01
MacKenzie Cavalier
37W–17L career · no lines in 2022
<1%89%10%
3.83
Loralee Daily
112W–89L career · no lines in 2022
2%94%4%
3.77
4
Ashley Burris
1W–1L career · type S · no lines in 2022
not enough data
4
Daren Rosenberger
76W–76L career · no lines in 2022
4%94%2%
3.73
Julie Deluca
65W–76L career · no lines in 2022
14%86%<1%
3.64
Trisha Kohut
61W–79L career · no lines in 2022
31%69%<1%
3.56
Philip Canadas
85W–133L career · no lines in 2022
41%59%<1%
3.53
4
Christina Terzola
103W–73L career · no lines in 2022
42%58%<1%
3.52
3.5
Daniel Lorenz
7W–18L career · no lines in 2022
not enough data
3.5
Deborah Cavanagh
16W–33L career · type S · no lines in 2022
not enough data
3.5
Glenn Kerr
58W–116L career · no lines in 2022
28%72%<1%
3.08
Justin Kelley
7W–9L career · no lines in 2022
not enough data
Michelle Ross
35W–50L career · no lines in 2022
not enough data
Michelle Simmons
67W–28L career · no lines in 2022
not enough data
Scott Fletcher
57W–25L career · no lines in 2022
not enough data
William Burnett
24W–66L career · no 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.