Teams

C 6.5M CC1 Ganim

2022 NEOTA Combo Fall · NEOTA 6.5 Combo M Fall

10 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 →
Schedule8 played
2022-11-20vs OH NEO Combo 6.5M ViswanathanLost 03
L#1 DoublesAndrew Biegacki / Jason Ganim vs SURENDER VELUSAMY / Pramod Padmanabhan1-6, 2-6
L#2 DoublesJinho Lee / Bogdan Badescu vs Narayan Viswanathan / Ganapathi Narayanaswamy3-6, 3-6
L#3 DoublesDavid Zuber / Tim Trombetta vs Raymond Lumpkin / Kishore Devarakonda3-6, 0-6
2022-11-12vs C 6.5M PM FarrLost 03
L#1 DoublesAndrew Biegacki / Brian Razum vs Craig Welsh / William Miles2-6, 4-6
L#2 DoublesBogdan Badescu / Jinho Lee vs Bogdan Nicolae / Steve Pennington7-6, 6-7, 0-1
L#3 DoublesDavid Zuber / Paul Yu vs William Farr / Tim McQuown3-6, 3-6
2022-11-06vs C 6.5M MM GhoshLost 02
L#1 DoublesJason Ganim / Andrew Biegacki vs ABHIJIT NATH / Debabrata Ghosh6-3, 2-6, 0-1
L#3 DoublesPaul Yu / Tim Trombetta vs Jim Tyrrell / Reddy Vittedi7-6, 3-6, 0-1
2022-10-29vs C 6.5M FRR MellinoLost 12
L#1 DoublesPaul Yu / Jason Ganim vs Celso Castillo / Adnan Kazazic4-6, 6-4, 0-1
L#2 DoublesBrian Razum / Tim Trombetta vs Dietrich Schelzig / Scott Mellino1-6, 3-6
W#3 DoublesKeith Koci / Jinho Lee vs Wael Rached / Anthony Kulka6-2, 7-6
2022-10-14vs OH NEO Combo 6.5M ViswanathanLost 12
L#1 DoublesAndrew Biegacki / Brian Razum vs Narayan Viswanathan / Pramod Padmanabhan3-6, 4-6
W#2 DoublesKeith Koci / Jinho Lee vs Ganapathi Narayanaswamy / Samuel Samuel3-6, 7-6, 1-0
L#3 DoublesPaul Yu / David Zuber vs Kannan Venkatraman / Sriram Krishnan2-6, 0-6
2022-10-09vs C 6.5M PM FarrSplit 11
W#2 DoublesJason Ganim / Andrew Biegacki vs John Wirtz / Yong Tao6-4, 6-4
L#3 DoublesBrian Razum / Tim Trombetta vs William Farr / Tim McQuown6-1, 1-6, 0-1
2022-10-01vs C 6.5M MM GhoshLost 02
L#1 DoublesPaul Yu / Brian Razum vs Debabrata Ghosh / Reddy Vittedi4-6, 2-6
L#2 DoublesJason Ganim / David Zuber vs Gary Fleming / Ben Zagorski2-6, 3-6
2022-09-25vs C 6.5M FRR MellinoLost 12
L#1 DoublesJinho Lee / Bogdan Badescu vs Dietrich Schelzig / Scott Mellino0-6, 1-6
W#2 DoublesJason Ganim / Andrew Biegacki vs William Boerwinkle / Robert Jurs6-2, 6-1
L#3 DoublesDavid Zuber / Tim Trombetta vs Anthony Kulka / Roger Godin2-6, 4-6
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 standings15 teams · NEOTA 6.5 Combo M Fall
TeamWLInd. WInd. LSets lostGames lost
1OH NEO Combo 6.5M Viswanathan802049141
2C 6.5M MV1 Haught8020410142
3C 6.5M NC1 Booher7117716178
4C 6.5M MM Ghosh6216818176
5C 6.5M LT Bissell5315919177
6C 6.5M NC2 Monahan53141025216
7C 6.5M WR Downing43101124203
8C 6.5M CSC Jarus4415923192
9C 6.5M TP2 Schulte35101429232
10C 6.5M PM Farr35101430230
11C 6.5M FRR Mellino35101432245
12C 6.5M WE Hulewat2681636249
13C 6.5M MV2 King1641736226
14C 6.5M CC1 Ganim0842041267
15C 6.5M TP1 Fox0842042279

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 3.12 estimated across 3 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.

3.51
Andrew Biegacki
usually #1 Doubles 67%, also #2 Doubles 33% · published 4
Brian Razum
usually #1 Doubles 60%, also #3 Doubles 20% · published 3.5
3.02
Jason Ganim
usually #2 Doubles 50%, also #1 Doubles 50% · published
2.83
Jinho Lee
usually #2 Doubles 60%, also #3 Doubles 20% · published
Bogdan Badescu
published
David Zuber
usually #3 Doubles 80%, also #2 Doubles 20% · published
Keith Koci
published
Paul Yu
usually #3 Doubles 60%, also #1 Doubles 40% · published
Stephen Sheha
published
Tim Trombetta
usually #3 Doubles 80%, also #2 Doubles 20% · 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.

Jason Ganim + Andrew Biegacki71249% games−4.7% vs expected
Tim Trombetta + Brian Razum0531% gamesnot enough data
David Zuber + Tim Trombetta134 matchesnot enough data
Jason Ganim + Brian Razum033 matchesnot enough data
Andrew Biegacki + Brian Razum033 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.

4
Andrew Biegacki
33W–25L career · 6 lines in 2022
46%54%<1%
3.51
3.5
Brian Razum
13W–21L career · 5 lines in 2022
not enough data
Jason Ganim
25W–85L career · 6 lines in 2022
43%57%<1%
3.02
Jinho Lee
39W–62L career · 5 lines in 2022
91%9%<1%
2.83
Bogdan Badescu
1W–2L career · no lines in 2022
not enough data
David Zuber
7W–27L career · 5 lines in 2022
not enough data
Keith Koci
2W–0L career · no lines in 2022
not enough data
Paul Yu
0W–6L career · 5 lines in 2022
not enough data
Stephen Sheha
3W–2L career · no lines in 2022
not enough data
Tim Trombetta
13W–28L career · 5 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.