Teams

Nassau Terminators

Tri-Level League · Tri-Level 4.5, 4.0, 3.5 Men CENTRAL

19 players · average NTRP 3.75 / NEW JERSEY

View scouting list →
Schedule6 played
2018-11-10vs WestfieldSplit 11
W#1 DoublesPeter James / Rudolf van Mol vs Thomas Lagarde / Pavel Lvov7-5, 6-4
L#2 DoublesGregg Gorelick / Vimal Kewalramani vs Pavan Sachan / Elliot Stevens2-6, 0-6
2018-10-20vs 3 Fast 3 FuriousSplit 11
W#1 DoublesPeter Tilles / Peter James vs Dennis Fernandes / Vikas Gupta6-4, 6-4
L#2 DoublesColin Watts / Dan Saragnese vs Michael Kara / Allan Orchard0-6, 2-6
2018-10-13vs Mercer SlammersSplit 11
L#1 DoublesRudolf van Mol / Mark Sweetsir vs Rash Mahmood / Vivek Sahota6-1, 4-6, 0-1
W#2 DoublesEdward Kolb / Colin Watts vs Mani Maran / William Lester6-3, 6-4
2018-09-29vs Team GladiatorsLost 03
L#1 DoublesPeter Tilles / Rudolf van Mol vs Asim Hafeez / Jaishal PATEL5-7, 5-7
L#2 DoublesMitchell Weiner / Gregg Gorelick vs Varun Varun / Rafael Zamarripa6-4, 0-6, 0-1
L#3 DoublesVimal Kewalramani / Mark Nagel vs Akshay Ashok Raj / Deenadayalan Ramasamy2-6, 3-6
2018-09-22vs CM HackersWon 10
W#2 DoublesGregg Gorelick / Steven Pellerin vs Murali Donthireddy / Karthik Badri6-4, 2-6, 1-0
2018-09-22vs Khoo's teamLost 12
W#1 DoublesPeter Tilles / Peter James vs Tyler Neal / Jaime Ramirez7-6, 6-2
L#2 DoublesColin Watts / Edward Kolb vs Paul Ricciardi / Chanaka Amarasinghe0-6, 1-6
L#3 DoublesAlan Patten / Fred Mitchell vs Alan Howard / Daniel Higgins4-6, 2-6
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 standings5 teams · Tri-Level 4.5, 4.0, 3.5 Men CENTRAL
TeamWLInd. WInd. LSets lostGames lost
13 Fast 3 Furious601538109
2CM Hackers339922154
3Mercer Slammers2481024171
4Khoo's team1421326163
5Nassau Terminators1561225183

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 3.56 estimated across 6 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.

3.90
Rudolf van Mol
usually #1 Doubles 100% · published
3.80
Mark Sweetsir
usually #1 Doubles 100% · published
Alan Rosenberg
published 4
3.57
Edward Kolb
usually #2 Doubles 100% · published
3.44
Steven Pellerin
usually #2 Doubles 100% · published
3.38
Teck Wong
published
3.29
Alan Patten
usually #3 Doubles 100% · published 3.5
Colin Watts
usually #2 Doubles 100% · published
Dan Saragnese
usually #2 Doubles 100% · published
Fred Mitchell
usually #3 Doubles 100% · published
Gregg Gorelick
usually #2 Doubles 100% · published
Mark Nagel
usually #3 Doubles 100% · published
Mitchell Weiner
usually #2 Doubles 100% · published
Peter James
published
Peter Tilles
usually #1 Doubles 100% · published
Pras Goswami
published
Ramaswami Venkatesh
published
Stephen Nagy
published
Vimal Kewalramani
usually #2 Doubles 50%, also #3 Doubles 50% · 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.

Rudolf van Mol + Peter Tilles2350% gamesnot 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.

Rudolf van Mol
327W–239L career · 3 lines in 2019
<1%76%24%
3.90
Mark Sweetsir
102W–64L career · 1 line in 2019
2%91%8%
3.80
4
Alan Rosenberg
5W–6L career · no lines in 2019
not enough data
Edward Kolb
14W–22L career · 2 lines in 2019
31%69%<1%
3.57
Steven Pellerin
61W–31L career · 1 line in 2019
<1%66%34%
3.44
Teck Wong
99W–58L career · no lines in 2019
<1%81%19%
3.38
3.5
Alan Patten
32W–41L career · 1 line in 2019
2%91%7%
3.29
Colin Watts
1W–2L career · 3 lines in 2019
not enough data
Dan Saragnese
0W–5L career · 1 line in 2019
not enough data
Fred Mitchell
0W–1L career · 1 line in 2019
not enough data
Gregg Gorelick
1W–2L career · 3 lines in 2019
not enough data
Mark Nagel
51W–43L career · 1 line in 2019
not enough data
Mitchell Weiner
2W–6L career · 1 line in 2019
not enough data
Peter James
0W–4L career · no lines in 2019
not enough data
Peter Tilles
30W–33L career · 3 lines in 2019
not enough data
Pras Goswami
1W–1L career · no lines in 2019
not enough data
Ramaswami Venkatesh
41W–34L career · no lines in 2019
not enough data
Stephen Nagy
25W–15L career · no lines in 2019
not enough data
Vimal Kewalramani
0W–2L career · 2 lines in 2019
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.