Teams

F 4.0S/8.0D MM Bruckner

2023 NEOTA Fusion · NEOTA 4.0S

19 players · average NTRP 3.89 / 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 standings9 teams · NEOTA 4.0S
TeamWLInd. WInd. LSets lostGames lost
1F 4.0S/8.0D NC Paulino80301028280
2F 4.0S/8.0D PM Perkins62221840326
3F 4.0S/8.0D LT Kim53251537310
4F 4.0S/8.0D GR Burnett44162457417
5F 4.0S/8.0D MV2 Miklowski35202043342
6F 4.0S/8.0D MV1 Mercuri35192148354
7F 4.0S/8.0D TP Schaffner35182250373
8F 4.0S/8.0D MM Bruckner35162452377
9F 4.0S/8.0D WE McClure17142656382

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 3.62 estimated across 16 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.

3.90
Barry Hubbard
published 4.5
3.85
Yue Bruckner
published
3.83
3.83
David Rickard
published 4
3.75
David Fleischer
published 4
3.73
Maria Ganim
published
3.69
Margaret VanDine
published
3.64
Jenn Gates
published
3.64
Matthew Horwich
published
3.58
Allison Evans
published 4
3.50
Sharon Horgan
published
3.48
Susie Todaro
published
3.42
Baron Pineda
published 3.5
3.38
Charles Manak
published 4
3.38
Wendy Cohn
published
3.36
Erin Hubbard
published 3.5
Aaron Carlson
published 3.5
Jay Kneiss
published
Ricardo Caldera
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.

Yue Bruckner + Maria Ganim12164% games+7.9% vs expected
Yue Bruckner + Erin Hubbard7065% games+5.9% vs expected
Barry Hubbard + Baron Pineda4351% games+5.6% vs expected
Sharon Horgan + Maria Ganim8753% games+5.4% vs expected
Barry Hubbard + Ricardo Caldera7356% games+3.6% vs expected
Susie Todaro + Maria Ganim2442% games+1.3% vs expected
Margaret VanDine + Yue Bruckner5260% games+1.1% vs expected
Susie Todaro + Sharon Horgan6550% games+0.7% 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.

4.5
Barry Hubbard
127W–91L career · no lines in 2023
79%21%<1%
3.90
Yue Bruckner
199W–79L career · no lines in 2023
<1%87%12%
3.85
4
Chris Reutepohler
77W–63L career · no lines in 2023
1%90%10%
3.83
4
David Rickard
117W–55L career · no lines in 2023
1%90%9%
3.83
4
David Fleischer
88W–46L career · no lines in 2023
3%95%3%
3.75
Maria Ganim
142W–75L career · no lines in 2023
4%94%2%
3.73
Margaret VanDine
159W–128L career · no lines in 2023
8%92%1%
3.69
Jenn Gates
58W–52L career · no lines in 2023
14%86%<1%
3.64
Matthew Horwich
118W–150L career · no lines in 2023
14%86%<1%
3.64
4
Allison Evans
96W–34L career · no lines in 2023
28%72%<1%
3.58
Sharon Horgan
119W–107L career · no lines in 2023
51%49%<1%
3.50
Susie Todaro
106W–121L career · no lines in 2023
55%45%<1%
3.48
3.5
Baron Pineda
67W–81L career · no lines in 2023
<1%73%27%
3.42
4
Charles Manak
46W–89L career · no lines in 2023
82%18%<1%
3.38
Wendy Cohn
29W–32L career · no lines in 2023
82%18%<1%
3.38
3.5
Erin Hubbard
97W–73L career · no lines in 2023
<1%85%14%
3.36
3.5
Aaron Carlson
72W–34L career · no lines in 2023
not enough data
Jay Kneiss
7W–2L career · no lines in 2023
not enough data
Ricardo Caldera
88W–48L career · no 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.