Teams

FD 7.0 PM Leohr

2024 NEOTA Fusion Doubles · NEOTA 18&O 7.0 Fusion Doubles

15 players · average NTRP 3.67 / 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 standings13 teams · NEOTA 18&O 7.0 Fusion Doubles
TeamWLInd. WInd. LSets lostGames lost
1FD 7.0 NC1 Bullach7118618184
2FD 7.0 MM Mei7218921200
3FD 7.0 MV2 Smith7219826251
4FD 7.0 CC2 Sobecks63151228244
5FD 7.0 PM Leohr53131128208
6FD 7.0 NC2 Paulino4415921187
7FD 7.0 CC1 Meisenbach45161130245
8FD 7.0 MV1 Connell45121535251
9FD 7.0 WR Downing45101740296
10FD 7.0 BR Sweeney3591533215
11FD 7.0 LT McKenzie36131431263
12FD 7.0 TP Lynch1751940260
13FD 7.0 PW Merugu1852247308

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 3.13 estimated across 12 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.

3.88
Jeffrey Schlak
published
Craig Kornbau
published 4
3.37
Bill Balzarini
published 3.5
3.26
Emily Schlak
published
3.23
Andy Brouse
published 3.5
3.21
Taylor Leohr
published
3.19
Robert Bolish
published
3.04
Cristine Braman
published 3.5
3.03
Marcela Nicolae
published
3.01
LIsa Haynes
published
2.85
Gaby Cases
published
2.78
Bonita Teeuwen
published 3.5
2.65
Leslie Leohr
published
Julius Amourgis
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.

Emily Schlak + Marcela Nicolae16265% games+13.7% vs expected
Leslie Leohr + Taylor Leohr3446% games+6.5% vs expected
LIsa Haynes + Taylor Leohr141354% games−2.3% vs expected
Christopher Bolish + Bill Balzarini4452% gamesnot enough data
Leslie Leohr + Marcela Nicolae224 matchesnot enough data
Taylor Leohr + Bonita Teeuwen314 matchesnot enough data
Jeffrey Schlak + Christopher Bolish213 matchesnot enough data
LIsa Haynes + Leslie Leohr213 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.

Jeffrey Schlak
81W–35L career · no lines in 2024
<1%79%20%
3.88
4
Christopher Bolish
77W–51L career · no lines in 2024
not enough data
4
Craig Kornbau
22W–7L career · no lines in 2024
not enough data
3.5
Bill Balzarini
68W–41L career · no lines in 2024
<1%83%17%
3.37
Emily Schlak
97W–57L career · no lines in 2024
<1%3%97%
3.26
3.5
Andy Brouse
30W–22L career · no lines in 2024
5%92%3%
3.23
Taylor Leohr
50W–38L career · no lines in 2024
7%91%2%
3.21
Robert Bolish
5W–23L career · no lines in 2024
9%90%1%
3.19
3.5
Cristine Braman
40W–62L career · no lines in 2024
40%60%<1%
3.04
Marcela Nicolae
138W–52L career · no lines in 2024
<1%42%58%
3.03
LIsa Haynes
28W–25L career · no lines in 2024
47%53%<1%
3.01
Gaby Cases
61W–67L career · no lines in 2024
1%85%15%
2.85
3.5
Bonita Teeuwen
130W–96L career · no lines in 2024
94%6%<1%
2.78
Leslie Leohr
72W–60L career · no lines in 2024
13%86%1%
2.65
Julius Amourgis
9W–25L 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.