Teams

WTF Tri

2025 Tri-Level Men · 4.0, 3.5, 3.0

11 players · average NTRP 3.62 / NEW JERSEY REGION

View scouting list →
Schedule8 played
2025-04-05vs Net AssetsWon 20
W#1 DoublesKyle Eng / Bobby Kim vs George Sheffey / Dave Baggenstoss6-3, 6-2
W#3 DoublesMarcelo Teixeira / George Kariuki vs Peter Figueredo / Rich Oh7-6, 6-3
2025-03-29vs Court JestersWon 10
W#3 DoublesChristopher Phillips / Marcelo Teixeira vs Alex Bontia / Milan Shah7-5, 6-4
2025-03-22vs Tri-HardsSplit 11
L#1 DoublesBobby Kim / Ryan Pienciak vs MAREK OSTASZ / Urvish Barot4-6, 6-7
W#3 DoublesILDEFONSO ACOSTA / Marcelo Teixeira vs Brian Lee / Samson Wong4-6, 6-4, 1-0
2025-03-08vs Net AssetsSplit 11
W#1 DoublesJeff Silverman / Daniel Zimmon vs George Sheffey / Nirav Vasa7-6, 6-0
L#3 DoublesGeorge Kariuki / Michael Halling vs Peter Figueredo / Rajeev Ranjan6-4, 5-7, 0-1
2025-03-01vs Tri-HardsLost 02
L#1 DoublesBobby Kim / Daniel Zimmon vs MAREK OSTASZ / Trevin Alles3-6, 1-6
L#3 DoublesMichael Halling / Christopher Phillips vs Alexander Pak / Twain Richardson1-6, 6-7
2025-02-22vs Tri-HackersWon 20
W#2 DoublesGeorge Kariuki / Leonard Charles vs Peter Ortiz / Jorge Lam6-1, 6-4
W#3 DoublesMarcelo Teixeira / Michael Halling vs Richard Kabrt / Parampal Randhawa6-0, 6-1
2025-02-08vs Court JestersLost 01
L#3 DoublesMarcelo Teixeira / Michael Halling vs Alex Bontia / Anders Koeijer0-6, 6-3, 0-1
2025-02-01vs TAPASLost 02
L#1 DoublesJeff Silverman / Bobby Kim vs Bong Kim / Hoon Lee1-6, 2-6
L#3 DoublesMichael Halling / Marcelo Teixeira vs Daniel Yoon / Sungrea Cho2-6, 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 standings4 teams · 4.0, 3.5, 3.0
TeamWLInd. WInd. LSets lostGames lost
1TAPAS912739172
2WTF Tri73171332265
3Tri-Hards64171329257
4Tri-Hackers0942346299

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 3.50 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.

3.80
Daniel Zimmon
usually #1 Doubles 100% · published 4
3.78
Kyle Eng
usually #2 Doubles 50%, also #1 Doubles 50% · published
3.73
Ryan Pienciak
usually #3 Doubles 46%, also #2 Doubles 46% · published
3.71
Jeff Silverman
usually #1 Doubles 55%, also #2 Doubles 46% · published
3.70
Bobby Kim
usually #1 Doubles 100% · published 4
3.49
Leonard Charles
usually #2 Doubles 71%, also #1 Doubles 14% · published
3.32
Clint Tomlinson
usually #2 Doubles 78%, also #3 Doubles 22% · published 3.5
3.23
Marcelo Teixeira
usually #3 Doubles 100% · published
2.71
Christopher Phillips
usually #3 Doubles 100% · published 3
George Kariuki
usually #3 Doubles 67%, also #2 Doubles 33% · published
ILDEFONSO ACOSTA
usually #3 Doubles 100% · 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.

Clint Tomlinson + Daniel Zimmon8168% games+10.2% vs expected
Ryan Pienciak + Kyle Eng6165% games+3.7% vs expected
Clint Tomlinson + Ryan Pienciak17558% games+1.5% vs expected
Clint Tomlinson + Kyle Eng7354% games−0.9% vs expected
Leonard Charles + Clint Tomlinson2446% games−6.9% vs expected
George Kariuki + ILDEFONSO ACOSTA2349% games−16.1% vs expected
Jeff Silverman + Kyle Eng4252% gamesnot enough data
Bobby Kim + Jeff Silverman1440% 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.

4
Daniel Zimmon
153W–72L career · 2 lines in 2025
2%91%8%
3.80
Kyle Eng
101W–52L career · 12 lines in 2025
2%92%6%
3.78
Ryan Pienciak
47W–14L career · 13 lines in 2025
5%92%3%
3.73
Jeff Silverman
134W–68L career · 11 lines in 2025
7%91%2%
3.71
4
Bobby Kim
103W–72L career · 4 lines in 2025
8%90%1%
3.70
Leonard Charles
65W–60L career · 7 lines in 2025
<1%54%46%
3.49
3.5
Clint Tomlinson
192W–174L career · 9 lines in 2025
1%89%10%
3.32
Marcelo Teixeira
6W–6L career · 6 lines in 2025
5%92%3%
3.23
3
Christopher Phillips
9W–25L career · 2 lines in 2025
7%91%2%
2.71
George Kariuki
7W–6L career · 3 lines in 2025
not enough data
ILDEFONSO ACOSTA
17W–10L career · 1 line in 2025
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.