Teams

C 7.5M CC Krishnan

2022 NEOTA Combo Spring · NEOTA 7.5M Combo Spring

13 players · average NTRP 3.83 / 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
2022-04-02vs C 7.5M WR GantousSplit 11
W#2 DoublesThomas Lindsey / Pramod Padmanabhan vs Mike Drozda / Robert Sims6-3, 6-2
L#3 DoublesGanapathi Narayanaswamy / Ayite Gaba vs Jose Muzzi / Michael Hoffman5-7, 6-7
2022-04-01vs C 7.5M MM KunLost 02
L#2 DoublesVenkatraman Arakoni / Raymond Lumpkin vs Jason Kun / Aaron Carlson0-6, 1-6
L#3 DoublesLohit Abhay Kumar / Ganapathi Narayanaswamy vs Ricardo Caldera / Matthew Perciavalle2-6, 2-6
2022-03-25vs C 7.5M PW MikolichLost 01
L#3 DoublesGanapathi Narayanaswamy / Lohit Abhay Kumar vs Dan Mitoff / Jeffrey Schubert2-6, 0-6
2022-03-18vs C 7.5M WE CleggSplit 11
W#2 DoublesSriram Krishnan / Raymond Lumpkin vs Seth Unger / Shaun Williams4-6, 7-5, 1-0
L#3 DoublesPramod Padmanabhan / Ganapathi Narayanaswamy vs Sonny Kwon / David Ries2-6, 3-6
2022-03-11vs C 7.5M WR GantousLost 01
L#3 DoublesLohit Abhay Kumar / Venkatraman Arakoni vs Kei Park / Jose Muzzi6-7, 3-6
2022-02-25vs C 7.5M MM KunLost 02
L#1 DoublesSriram Krishnan / Peruri Srinivasulu vs Cloude Banks / Aaron Carlson7-6, 4-6, 0-1
L#2 DoublesAyite Gaba / Raymond Lumpkin vs Vish Chandran / Sean Nichols6-7, 4-6
2022-02-11vs C 7.5M PW MikolichSplit 11
L#2 DoublesSriram Krishnan / Raymond Lumpkin vs H Michael Wiant / Nick Karas6-4, 3-6, 1-0
W#3 DoublesPramod Padmanabhan / Ganapathi Narayanaswamy vs Robert Rummel / Chris Hensley7-6, 6-4
2022-02-04vs C 7.5M WE CleggLost 02
L#1 DoublesRaymond Lumpkin / Peruri Srinivasulu vs Jinu Hwang / GAUTAM PATHAK3-6, 2-6
L#2 DoublesPramod Padmanabhan / Ganapathi Narayanaswamy vs Roelof Potgieser / Patrick Tobler3-6, 3-6
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 3.51 estimated across 9 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.

4.47
Adam Slomski
usually #1 Doubles 90%, also #3 Doubles 10% · published 4.5
3.79
Pramod Padmanabhan
usually #2 Doubles 62%, also #1 Doubles 23% · published
3.70
Thomas Lindsey
usually #2 Doubles 100% · published
3.38
Venkatraman Arakoni
usually #3 Doubles 63%, also #2 Doubles 25% · published
3.37
Lohit Abhay Kumar
usually #3 Doubles 100% · published
Iyyappan MUPPIDATHI
published 3.5
3.25
Ganapathi Narayanaswamy
usually #3 Doubles 83%, also #2 Doubles 17% · published 3.5
3.25
Peruri Srinivasulu
usually #1 Doubles 100% · published
3.23
Narayan Viswanathan
usually #3 Doubles 50%, also #2 Doubles 25% · published
3.18
Sriram Krishnan
usually #2 Doubles 50%, also #1 Doubles 33% · published
Ayite Gaba
usually #2 Doubles 50%, also #3 Doubles 50% · published
Raymond Lumpkin
usually #2 Doubles 80%, also #1 Doubles 20% · published
SURENDER VELUSAMY
usually #1 Doubles 90%, also #2 Doubles 10% · 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.

Sriram Krishnan + SURENDER VELUSAMY10066% games+9.9% vs expected
Pramod Padmanabhan + Narayan Viswanathan7162% games+8.4% vs expected
Pramod Padmanabhan + Ganapathi Narayanaswamy19957% games+3.1% vs expected
Venkatraman Arakoni + Ganapathi Narayanaswamy8259% games+1.3% vs expected
Raymond Lumpkin + Peruri Srinivasulu8454% games+1.2% vs expected
Venkatraman Arakoni + Narayan Viswanathan9553% games+1.0% vs expected
Venkatraman Arakoni + Pramod Padmanabhan2544% games−2.1% vs expected
Narayan Viswanathan + Ganapathi Narayanaswamy4453% games−5.2% 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
Adam Slomski
80W–38L career · 10 lines in 2022
<1%60%40%
4.47
Pramod Padmanabhan
93W–46L career · 13 lines in 2022
1%94%5%
3.79
Thomas Lindsey
44W–44L career · 1 line in 2022
6%93%1%
3.70
Venkatraman Arakoni
83W–64L career · 8 lines in 2022
<1%82%18%
3.38
Lohit Abhay Kumar
78W–76L career · 3 lines in 2022
<1%84%15%
3.37
3.5
Iyyappan MUPPIDATHI
13W–10L career · no lines in 2022
not enough data
3.5
Ganapathi Narayanaswamy
51W–31L career · 6 lines in 2022
3%95%2%
3.25
Peruri Srinivasulu
49W–55L career · 2 lines in 2022
3%95%2%
3.25
Narayan Viswanathan
53W–43L career · 8 lines in 2022
4%94%2%
3.23
Sriram Krishnan
65W–38L career · 12 lines in 2022
<1%8%92%
3.18
Ayite Gaba
0W–2L career · 2 lines in 2022
not enough data
Raymond Lumpkin
20W–20L career · 5 lines in 2022
not enough data
SURENDER VELUSAMY
56W–15L career · 10 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.