Teams

FD 6.0 MV2 Herbruck

2024 NEOTA Fusion Doubles · NEOTA 18&O 6.0 Fusion Doubles

16 players · average NTRP 3.25 / 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 →
Flight standings12 teams · NEOTA 18&O 6.0 Fusion Doubles
TeamWLInd. WInd. LSets lostGames lost
1FD 6.0 MM2 Frazier9125514174
2FD 6.0 NC Snyder8221921216
3FD 6.0 CV Carroll64151533264
4FD 6.0 TP Licari64141635291
5FD 6.0 CSC Jarus64161437294
6FD 6.0 MV1 Chuko64141638287
7FD 6.0 MV2 Herbruck55181229244
8FD 6.0 MV3 Ung46141634256
9FD 6.0 CC Lombardo46141635273
10FD 6.0 WR Treblas37131736276
11FD 6.0 PM Shaffer37111941303
12FD 6.0 MM1 Bode01052552338

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 2.76 estimated across 11 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.

3.22
Jack Gau
published 3.5
2.98
Trip Herbruck
published
2.95
Meghan Sabitsch
published
2.80
Mike Ushats
published
2.72
Elisa Meadows
published 3
2.71
MEI LI
published
2.66
Kate OHara
published
2.65
Yasna Ottens
published
2.64
Shari Thompson
published
2.64
Jennifer Grable
published
2.38
Kern Jolibois
published
Jeeho Chang
published
Karen Frederick
published
Kelly Jordan
published
Michelle Simko
published
Ravi Krishnan
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.

Elisa Meadows + Yasna Ottens5267% games+14.2% vs expected
Trip Herbruck + Jack Gau10261% games+6.3% vs expected
Yasna Ottens + MEI LI2348% games−5.2% vs expected
Jennifer Grable + Kate OHara2339% gamesnot enough data
Elisa Meadows + Meghan Sabitsch2348% gamesnot enough data
Shari Thompson + Yasna Ottens2346% gamesnot enough data
Jeeho Chang + Kern Jolibois1444% gamesnot enough data
Karen Frederick + Yasna Ottens314 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.

3.5
Jack Gau
62W–74L career · no lines in 2024
4%94%2%
3.22
Trip Herbruck
95W–56L career · no lines in 2024
<1%56%44%
2.98
Meghan Sabitsch
72W–66L career · no lines in 2024
<1%66%34%
2.95
Mike Ushats
39W–24L career · no lines in 2024
1%92%7%
2.80
3
Elisa Meadows
71W–60L career · no lines in 2024
4%94%2%
2.72
MEI LI
49W–37L career · no lines in 2024
6%93%1%
2.71
Kate OHara
53W–56L career · no lines in 2024
11%89%<1%
2.66
Yasna Ottens
53W–58L career · no lines in 2024
13%87%<1%
2.65
Shari Thompson
40W–55L career · no lines in 2024
14%86%<1%
2.64
Jennifer Grable
34W–43L career · no lines in 2024
14%86%<1%
2.64
Kern Jolibois
24W–56L career · no lines in 2024
82%18%<1%
2.38
Jeeho Chang
21W–29L career · no lines in 2024
not enough data
Karen Frederick
31W–28L career · no lines in 2024
not enough data
Kelly Jordan
3W–2L career · no lines in 2024
not enough data
Michelle Simko
12W–19L career · no lines in 2024
not enough data
Ravi Krishnan
20W–17L career · no lines in 2024
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.