Teams

C 7.5M WE Clegg

2022 NEOTA Combo Spring · NEOTA 7.5M Combo Spring

18 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 →
Schedule4 played
2022-03-25vs C 7.5M WR GantousWon 30
W#1 DoublesSeth Unger / Chris McClure vs Eric Hagen / Jose Muzzi6-2, 6-4
W#2 DoublesPeter Frankfort / David Ries vs Emile Gantous / Theodore Palace6-3, 6-1
W#3 DoublesKaran Jolly / Roelof Potgieser vs Kei Park / Steven Parker6-0, 7-5
2022-03-18vs C 7.5M CC KrishnanLost 12
L#1 DoublesGAUTAM PATHAK / Roelof Potgieser vs Adam Slomski / SURENDER VELUSAMY6-7, 4-6
L#2 DoublesSeth Unger / Shaun Williams vs Sriram Krishnan / Raymond Lumpkin6-4, 5-7, 0-1
W#3 DoublesSonny Kwon / David Ries vs Pramod Padmanabhan / Ganapathi Narayanaswamy6-2, 6-3
2022-02-11vs C 7.5M WR GantousSplit 11
L#2 DoublesRoelof Potgieser / Karan Jolly vs Douglas Dempsey / Tim Lastoria0-6, 1-1
W#3 DoublesSeth Unger / Chris McClure vs Kei Park / Michael Hoffman7-6, 6-3
2022-02-04vs C 7.5M CC KrishnanWon 21
W#1 DoublesJinu Hwang / GAUTAM PATHAK vs Raymond Lumpkin / Peruri Srinivasulu6-3, 6-2
W#2 DoublesRoelof Potgieser / Patrick Tobler vs Pramod Padmanabhan / Ganapathi Narayanaswamy6-3, 6-3
L#3 DoublesPeter Frankfort / James Pruce vs Sriram Krishnan / Venkatraman Arakoni3-6, 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 standings for NEOTA 7.5M Combo Spring have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

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 3.59 estimated across 10 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.

3.78
Seth Unger
usually #2 Doubles 33%, also #1 Doubles 33% · published
Adam Sherman
published 4
3.71
Sonny Kwon
usually #3 Doubles 100% · published
3.69
Jinu Hwang
usually #1 Doubles 100% · published
3.69
GAUTAM PATHAK
usually #1 Doubles 75%, also #2 Doubles 25% · published 4
3.66
Ryan Niehenke
usually #2 Doubles 50%, also #1 Doubles 50% · published
3.65
Patrick Tobler
usually #3 Doubles 40%, also #1 Doubles 40% · published
3.56
VLAD VOLKOV
published
3.55
Peter Frankfort
usually #3 Doubles 50%, also #2 Doubles 50% · published
3.33
David Ries
usually #2 Doubles 57%, also #3 Doubles 29% · published 3.5
3.31
James Pruce
usually #1 Doubles 50%, also #3 Doubles 25% · published 4
Chris McClure
published 3.5
Corey O'Brien
published 3.5
Jim Clegg
published
Karan Jolly
usually #3 Doubles 50%, also #2 Doubles 50% · published
Karl Burtnett
published
Roelof Potgieser
usually #2 Doubles 50%, also #1 Doubles 25% · published
Shaun Williams
usually #2 Doubles 100% · 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.

James Pruce + Peter Frankfort4257% games+10.1% vs expected
Karl Burtnett + James Pruce11263% games+6.9% vs expected
GAUTAM PATHAK + Patrick Tobler6163% games+6.7% vs expected
GAUTAM PATHAK + Ryan Niehenke7164% games+6.3% vs expected
VLAD VOLKOV + Ryan Niehenke8159% games+5.4% vs expected
Karl Burtnett + Seth Unger15956% games+2.6% vs expected
GAUTAM PATHAK + Seth Unger5551% games+2.5% vs expected
David Ries + Karl Burtnett6258% games+2.3% 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.

Seth Unger
86W–58L career · 3 lines in 2022
1%94%5%
3.78
4
Adam Sherman
5W–4L career · no lines in 2022
not enough data
Sonny Kwon
78W–55L career · 1 line in 2022
5%93%1%
3.71
Jinu Hwang
82W–66L career · 1 line in 2022
7%92%1%
3.69
4
GAUTAM PATHAK
113W–71L career · 8 lines in 2022
7%92%1%
3.69
Ryan Niehenke
125W–65L career · 2 lines in 2022
11%88%<1%
3.66
Patrick Tobler
79W–36L career · 5 lines in 2022
12%88%<1%
3.65
VLAD VOLKOV
56W–51L career · no lines in 2022
32%68%<1%
3.56
Peter Frankfort
114W–55L career · 2 lines in 2022
<1%35%65%
3.55
3.5
David Ries
110W–66L career · 7 lines in 2022
1%90%9%
3.33
4
James Pruce
56W–30L career · 4 lines in 2022
92%8%<1%
3.31
3.5
Chris McClure
31W–29L career · no lines in 2022
not enough data
3.5
Corey O'Brien
25W–27L career · no lines in 2022
not enough data
Jim Clegg
17W–25L career · no lines in 2022
not enough data
Karan Jolly
1W–1L career · 2 lines in 2022
not enough data
Karl Burtnett
96W–45L career · no lines in 2022
not enough data
Roelof Potgieser
28W–26L career · 4 lines in 2022
not enough data
Shaun Williams
18W–24L career · 1 line 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.