Teams

Edison Aces

2022 18&Over Men · 3.5

14 players · average NTRP 3.25 / NEW JERSEY REGION

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 →
Schedule6 played
2022-06-26vs MSU: Jersey BullsLost 04
L#1 DoublesRichard Forfa / Abhi Shinde vs Arun Kanagasabapathy / Deepak Gupta7-5, 3-6, 0-1
L#1 SinglesDavid Cabassa vs Sai Gantla4-6, 1-4
L#2 DoublesMatthew White / Chirag Shah vs Sumankumar Nagam / Sunil Choudary Mandharapu0-6, 0-6
L#2 SinglesAnthony Hrehowsik vs Nanda Nandula3-6, 0-6
2022-06-19vs MSU: Jersey BullsLost 12
L#1 DoublesRichard Forfa / Michael Hergenhan vs Mani Ponnusamy / Ramkumar Pandurangan1-6, 4-6
L#2 DoublesMatthew White / Chirag Shah vs Deepak Gupta / Nanda Nandula1-6, 1-6
W#2 SinglesNiraj Shukla vs SreeSekhar Palaparthy6-4, 6-3
2022-06-14vs MSU: Jersey BullsLost 23
L#1 DoublesAnthony Hrehowsik / David Cabassa vs Prakash Kode / Ramkumar Pandurangan3-6, 3-6
L#1 SinglesAbul Wali vs Sai Gantla1-6, 3-6
L#2 DoublesWilliam Jaroszewski / Abhi Shinde vs Deepak Gupta / Wayne Lalicon2-6, 1-6
W#2 SinglesNiraj Shukla vs Mani Ponnusamy6-1, 6-1
W#3 DoublesMatthew White / Richard Forfa vs Harsh Parikh / Krishna Rama6-1, 6-4
2022-06-05vs MSU: Jersey BullsLost 04
L#1 DoublesRichard Forfa / Anthony Hrehowsik vs Deepak Gupta / Prakash Kode6-4, 4-6, 0-1
L#2 DoublesChirag Shah / Abul Wali vs Ramkumar Pandurangan / Arun Kanagasabapathy4-6, 0-6
L#2 SinglesNiraj Shukla vs Sai Gantla3-6, 2-6
L#3 DoublesMatthew White / Abhi Shinde vs Mani Ponnusamy / Wayne Lalicon3-6, 2-6
2022-05-22vs MSU: Jersey BullsSplit 22
W#1 DoublesRichard Forfa / Michael Hergenhan vs Deepak Gupta / Nitin Bhatt2-6, 6-3, 1-0
W#1 SinglesNiraj Shukla vs Sai Gantla7-5, 6-2
L#2 DoublesMatthew White / William Jaroszewski vs Mani Ponnusamy / Prakash Kode3-6, 4-6
L#2 SinglesAbhi Shinde vs Krishna Rama0-6, 2-6
2022-05-15vs MSU: Jersey BullsLost 12
L#1 DoublesDavid Cabassa / Anthony Hrehowsik vs Krishna Rama / Naresh Gurukula6-2, 5-7, 0-1
L#2 DoublesAbhi Shinde / Haynes Tzufan Wu vs Deepak Gupta / Nitin Bhatt6-3, 2-6, 0-1
W#3 DoublesRichard Forfa / Matthew White vs Harsh Parikh / Mani Ponnusamy6-3, 6-2
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 3.5 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 3.01 estimated across 8 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.

3.33
Niraj Shukla
usually #2 Singles 75%, also #1 Singles 25% · published
Anthony Hrehowsik
usually #1 Doubles 75%, also #2 Singles 25% · published 3.5
3.21
Richard Forfa
usually #1 Doubles 67%, also #3 Doubles 33% · published
3.10
David Cabassa
usually #1 Doubles 67%, also #1 Singles 33% · published 3.5
3.07
Paul Kulbida
published
2.90
Michael Hergenhan
usually #1 Doubles 100% · published
2.88
Abhi Shinde
usually #2 Doubles 40%, also #1 Doubles 20% · published 3
2.82
Matthew White
usually #2 Doubles 50%, also #3 Doubles 50% · published
2.81
William Jaroszewski
usually #2 Doubles 100% · published
Haynes Tzufan Wu
usually #2 Doubles 100% · published 3
Abul Wali
usually #1 Singles 50%, also #2 Doubles 50% · published
Chirag Shah
usually #2 Doubles 100% · published
Ryan Convery
usually #1 Singles 50%, also #2 Singles 25% · published
Tyler Harris
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.

David Cabassa + Anthony Hrehowsik5546% games−0.3% vs expected
Abhi Shinde + Haynes Tzufan Wu01129% games−1.7% vs expected
Richard Forfa + Michael Hergenhan31341% games−2.2% vs expected
David Cabassa + William Jaroszewski0738% games−2.4% vs expected
Richard Forfa + Paul Kulbida41140% games−4.3% vs expected
William Jaroszewski + Matthew White31935% games−8.8% vs expected
Richard Forfa + David Cabassa044 matchesnot enough data
Richard Forfa + Matthew White224 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.

Niraj Shukla
49W–38L career · 4 lines in 2022
1%90%10%
3.33
3.5
Anthony Hrehowsik
5W–12L career · 4 lines in 2022
not enough data
Richard Forfa
11W–39L career · 6 lines in 2022
6%93%1%
3.21
3.5
David Cabassa
9W–34L career · 3 lines in 2022
23%77%<1%
3.10
Paul Kulbida
5W–22L career · no lines in 2022
30%70%<1%
3.07
Michael Hergenhan
5W–32L career · 2 lines in 2022
77%23%<1%
2.90
3
Abhi Shinde
1W–38L career · 5 lines in 2022
<1%83%17%
2.88
Matthew White
9W–44L career · 6 lines in 2022
91%9%<1%
2.82
William Jaroszewski
4W–38L career · 2 lines in 2022
93%7%<1%
2.81
3
Haynes Tzufan Wu
0W–24L career · 1 line in 2022
not enough data
Abul Wali
0W–2L career · 2 lines in 2022
not enough data
Chirag Shah
0W–3L career · 3 lines in 2022
not enough data
Ryan Convery
16W–9L career · 4 lines in 2022
not enough data
Tyler Harris
174W–54L career · no 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.