Teams

PRC

Adult 18 & Over Spring · 4.5 Men Central - Day

15 players · average NTRP 4.25 / NEW JERSEY

View scouting list →
Schedule17 played
2023-08-06vs NJD/NJ SmashSplit 11
W#1 DoublesDaniel Blumenthal / Kaptan Karsolia vs Jon Rubinstein / Lars Bohn7-5, 6-4
L#2 DoublesNayan Raman / Adam Czaplinski vs Frederick Johnson / Daniel Sherman4-6, 4-6
2023-07-23vs Merceroni & CheeseSplit 11
L#1 DoublesKaptan Karsolia / Vikram Manisankar vs Yuya Ikeda / Yusuke Nakagawa3-6, 5-7
W#2 DoublesNayan Raman / Adam Czaplinski vs Mark Sweetsir / Sam Klein6-2, 5-7, 1-0
2023-07-16vs NJD/NJ SmashWon 10
W#1 DoublesKaptan Karsolia / Vikram Manisankar vs Sidharth Dhawan / Gaurav Singh4-6, 7-5, 1-0
2023-06-25vs Merceroni & CheeseLost 01
L#1 DoublesKaptan Karsolia / Didrick Manahan vs Yuya Ikeda / Yusuke Nakagawa4-6, 4-6
2023-06-11vs No Strings AttachedLost 01
L#1 DoublesKaptan Karsolia / Abel Lampa vs Don Kim / Oliver Li2-6, 1-6
2023-06-04Lost 01
L#1 DoublesTyler Neal / Gregory Rosen vs Athar Khalil / Ferran Valldosera6-7, 6-7
2023-06-04vs NJD/NJ SmashSplit 11
W#1 DoublesAbel Lampa / Kaptan Karsolia vs Gaurav Singh / David Mira4-6, 6-3, 1-0
L#3 DoublesVladimir Bojcev / Tyler Neal vs Robert Khalev / Jon Rubinstein3-6, 4-6
2023-05-21Won 10
W#2 DoublesAdam Czaplinski / Sean Wenke vs Julius Billa / Prasad Pola6-1, 6-4
2023-05-21Won 10
W#1 DoublesTyler Neal / Mohammed Moamen vs Ankush Kumar / Gopal Thirukallam7-6, 6-3
2023-05-21vs Merceroni & CheeseLost 01
L#2 DoublesVladimir Bojcev / Joshua Arno vs Bryce Perritt / Yuya Ikeda0-6, 2-6
2023-05-07vs No Strings AttachedLost 03
L#1 DoublesKaptan Karsolia / Nayan Raman vs Don Kim / Oliver Li2-6, 2-6
L#2 DoublesJoshua Arno / Adam Czaplinski vs Neil Mirchandani / Sam van Noort1-6, 0-6
L#2 SinglesVladimir Bojcev vs Jonathan Yu3-6, 3-6
2023-04-30Won 10
W#2 DoublesEric Levitch / Adam Czaplinski vs Ashok Selvaraj / Gopal Thirukallam6-3, 6-3
2023-04-30Won 10
W#1 DoublesTyler Neal / Gregory Rosen vs Matthew Goldfogel / Ravindranath Agasana Hundi6-1, 6-4
2023-04-23Won 10
W#2 DoublesChanaka Amarasinghe / Adam Czaplinski vs Rajeev Kupsad / Hemchander Naraparaju6-2, 6-0
2023-04-23Won 10
W#1 DoublesTyler Neal / Alexander Wan vs Samir Shah / Vidya Shankar6-4, 6-4
2023-04-16vs No Strings AttachedLost 02
L#2 DoublesSean Wenke / Nayan Raman vs Don Kim / Ko Kiuchi4-6, 6-4, 0-1
L#3 DoublesRajkumar Pyla / Adam Czaplinski vs Oliver Li / William Lyons2-6, 1-6
2023-04-16Won 10
W#2 DoublesNeil Mirchandani / Sean Wenke vs Alexander Wan / Jon Bliven6-3, 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 standings3 teams · 4.5 Men Central - Day
TeamWLInd. WInd. LSets lostGames lost
1Merceroni & Cheese07112448349
2NJD/NJ Smash0936923291
3PRC0993677499

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 4.03 estimated across 5 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.

4.44
Kaptan Karsolia
usually #1 Doubles 100% · published
Daniel Blumenthal
published 4.5
Didrick Manahan
published 4.5
4.04
Joshua Arno
published
3.98
Tyler Neal
usually #1 Doubles 80%, also #3 Doubles 20% · published
3.93
Vladimir Bojcev
usually #2 Doubles 33%, also #3 Doubles 33% · published
3.75
Adam Czaplinski
usually #2 Doubles 86%, also #3 Doubles 14% · published 4
Bo Li
published 4
Abhie Maharana
published
Amit PADMANABHAN
published
Nayan Raman
published
Renesh Bhamidipati
published
Sean Wenke
usually #2 Doubles 100% · published
Valay Shah
published
Vikram Manisankar
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.

Adam Czaplinski + Sean Wenke6255% games−6.2% 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.

Kaptan Karsolia
34W–14L career · 7 lines in 2023
<1%67%33%
4.44
4.5
Daniel Blumenthal
18W–18L career · no lines in 2023
not enough data
4.5
Didrick Manahan
13W–3L career · no lines in 2023
not enough data
Joshua Arno
1W–4L career · no lines in 2023
40%60%<1%
4.04
Tyler Neal
45W–27L career · 5 lines in 2023
56%44%<1%
3.98
Vladimir Bojcev
44W–66L career · 3 lines in 2023
<1%70%30%
3.93
4
Adam Czaplinski
57W–23L career · 7 lines in 2023
4%93%4%
3.75
4
Bo Li
6W–2L career · type S · no lines in 2023
not enough data
Abhie Maharana
8W–1L career · no lines in 2023
not enough data
Amit PADMANABHAN
0W–2L career · no lines in 2023
not enough data
Nayan Raman
1W–2L career · no lines in 2023
not enough data
Renesh Bhamidipati
21W–9L career · no lines in 2023
not enough data
Sean Wenke
37W–18L career · 3 lines in 2023
not enough data
Valay Shah
0W–1L career · no lines in 2023
not enough data
Vikram Manisankar
12W–7L career · no lines in 2023
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.