Teams

Kick Serves

Adult 18 & Over Summer · 3.0 Men

12 players · average NTRP 3.43 / DELAWARE

View scouting list →
Schedule7 played
2022-07-12vs DupontWon 30
W#1 DoublesJohn Carpenter / Kevin McCleery vs Frank Nickel / Sam John6-4, 6-1
W#1 SinglesDan Duong vs Dominic Singson6-2, 6-3
W#2 SinglesHyung Steele vs Thomas Munro6-3, 6-0
2022-06-04vs Drop ShotsSplit 11
W#1 SinglesJai Wright vs Sid Reddy6-3, 6-3
L#2 DoublesArmando Gomez / Gerald Smith vs Rammohan Paripelly / Karthik Govindaswamy4-6, 1-6
2022-06-01vs DupontWon 20
W#1 DoublesAnshuman Agrawal / Aravind Babu vs Frank Nickel / Michael Silverman6-3, 7-6
W#2 DoublesKevin McCleery / Hyung Steele vs Sam John / Bill Nichols6-1, 6-2
2022-05-21vs Drop ShotsWon 21
L#1 DoublesAnshuman Agrawal / Aravind Babu vs Karthik Govindaswamy / GERARD OSMOND6-7, 5-7
W#1 SinglesArmando Gomez vs Rammohan Paripelly6-3, 3-0
W#2 DoublesSiddharth Jain / Dan Duong vs Michael Garrison / Siva Yenuganti6-4, 6-3
2022-05-04vs Drop ShotsWon 50
W#1 DoublesJohn Carpenter / David Stosic vs Mike Chang / Michael Garrison6-3, 6-1
W#1 SinglesGerald Smith vs Rammohan Paripelly6-3, 7-5
W#2 DoublesDan Duong / Hyung Steele vs Josh Hoveln / Sid Reddy6-1, 6-0
W#2 SinglesShrinivas Hebbale vs Siva Yenuganti6-4, 6-3
W#3 DoublesRichard Burke / Masaaki Saito vs Andrew Menzies / Carlos Marroquin6-2, 6-0
2022-04-27vs DupontWon 21
W#1 DoublesDavid Stosic / Shrinivas Hebbale vs Michael Silverman / Michael Hartman6-4, 3-6, 1-0
W#1 SinglesGerald Smith vs Sam John6-0, 6-1
L#2 DoublesJai Wright / Masaaki Saito vs Frank Nickel / Bill Nichols3-6, 6-4, 1-0
2022-04-20vs Drop ShotsWon 40
W#1 DoublesAravind Babu / Anshuman Agrawal vs Kevin Carey / David Madans6-1, 6-3
W#2 DoublesJai Wright / Hyung Steele vs Derik Zhou / Mike Chang1-6, 7-6, 1-0
W#2 SinglesGerald Smith vs Josh Hoveln6-0, 6-1
W#3 DoublesDan Duong / David Stosic vs Michael Garrison / Carlos Marroquin6-0, 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 3.0 Men 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 3.10 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.

3.31
Richard Burke
usually #3 Doubles 100% · published
3.28
Aravind Babu
usually #1 Doubles 78%, also #2 Doubles 22% · published 3.5
3.23
Hyung Steele
usually #2 Doubles 75%, also #2 Singles 25% · published 3.5
3.21
Kevin McCleery
usually #1 Doubles 50%, also #2 Doubles 50% · published
3.16
Gerald Smith
usually #1 Singles 50%, also #2 Singles 25% · published 3.5
3.11
Jai Wright
usually #2 Doubles 57%, also #3 Doubles 14% · published 3.5
3.08
Dan Duong
usually #2 Doubles 50%, also #1 Singles 25% · published 3.5
2.96
Anshuman Agrawal
usually #1 Doubles 89%, also #2 Doubles 11% · published 3.5
2.83
Masaaki Saito
usually #2 Doubles 50%, also #3 Doubles 50% · published
2.79
Shrinivas Hebbale
usually #1 Doubles 50%, also #2 Singles 50% · published
David Stosic
usually #3 Doubles 60%, also #1 Doubles 40% · published 3
Armando Gomez
usually #1 Doubles 43%, also #2 Doubles 29% · 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.

Anshuman Agrawal + Armando Gomez1538% games+3.6% vs expected
Aravind Babu + Anshuman Agrawal101648% games+3.0% vs expected
Aravind Babu + Armando Gomez134 matchesnot enough data
Richard Burke + Dan Duong314 matchesnot enough data
Hyung Steele + Dan Duong224 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.

Richard Burke
7W–5L career · 1 line in 2022
93%7%<1%
3.31
3.5
Aravind Babu
56W–71L career · 9 lines in 2022
1%94%5%
3.28
3.5
Hyung Steele
48W–43L career · 4 lines in 2022
4%94%2%
3.23
Kevin McCleery
34W–36L career · 2 lines in 2022
5%94%1%
3.21
3.5
Gerald Smith
39W–54L career · 4 lines in 2022
12%88%<1%
3.16
3.5
Jai Wright
54W–80L career · 7 lines in 2022
19%81%<1%
3.11
3.5
Dan Duong
27W–16L career · 4 lines in 2022
28%72%<1%
3.08
3.5
Anshuman Agrawal
27W–66L career · 9 lines in 2022
61%39%<1%
2.96
Masaaki Saito
66W–98L career · 2 lines in 2022
1%90%9%
2.83
Shrinivas Hebbale
11W–6L career · 2 lines in 2022
1%94%5%
2.79
3
David Stosic
18W–26L career · 5 lines in 2022
not enough data
Armando Gomez
34W–54L career · 7 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.