Teams

We Canh Do It

Adult Tri-Level League · Tri Level Men 4.0-5.0

20 players · average NTRP 4.40 / PHILADELPHIA

View scouting list →
Schedule7 played
2024-10-13vs UMLY Ball Busters - Tri 10.5Won 10
W#1 DoublesJohn Gassenheimer / William Lyons vs Shaun Palcher / Venkata Puvvadi7-5, 6-3
2024-10-06vs HPTA TriWon 20
W#2 DoublesTyler Hogan / Abhay Singh vs Joshua Budman / Jonathan Goodman6-2, 7-5
W#3 DoublesMatthew Peterson / Jeff Ware vs Neal Rutman / Charlie Choi6-1, 6-1
2024-10-05vs SwingersWon 10
W#1 DoublesJohn Considine / William Lyons vs Yevgen Knyazkov / Alex Knyazkov6-2, 6-4
2024-09-29vs HPTA TriWon 20
W#1 DoublesKamala Kannan / Tyler Barr vs Julio Toledo Lopez / Edik Pribitkin6-1, 7-5
W#3 DoublesWilliam Lyons / Daniel Taboada vs Sean Tooke / Zachary Eskin6-3, 6-2
2024-09-22vs HPTA TriWon 21
W#1 DoublesBrett Caban / Michael King vs Chris Choo / Fernando Perez6-4, 6-3
L#2 DoublesCanh Ho / Nick Bonkoski vs Brandon Dinh / Jonathan Goodman3-6, 6-7
W#3 DoublesWilliam Lyons / Ning Zhou vs Neal Rutman / Charlie Choi7-6, 7-5
2024-09-13vs HPTA TriSplit 11
L#1 DoublesBrett Caban / Michael King vs Chris Choo / Fernando Perez4-6, 3-6
W#2 DoublesCharles Triolo / Abhay Singh vs Joshua Budman / Scott Rubens6-7, 6-1, 1-0
2024-09-08vs HPTA TriWon 20
W#1 DoublesKamala Kannan / Rushi Amin vs Chris Choo / Nathan Kidambi6-0, 6-3
W#3 DoublesDaniel Taboada / Matthew Peterson vs Sean Tooke / Jonathan Vettori6-1, 6-1
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 standings2 teams · Tri Level Men 4.0-5.0
TeamWLInd. WInd. LSets lostGames lost
1We Canh Do It6014410131
2HPTA Tri0631531215

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 4.21 estimated across 17 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.

4.89
Tyler Barr
usually #1 Doubles 100% · published
4.82
Rushi Amin
usually #1 Doubles 100% · published
4.70
Kamala Kannan
usually #1 Doubles 100% · published
4.41
Kai Czubryt-Ogino
usually #1 Doubles 67%, also #2 Doubles 33% · published
4.35
Canh Ho
usually #1 Doubles 60%, also #2 Doubles 40% · published 4.5
4.34
Abhay Singh
usually #1 Doubles 75%, also #2 Doubles 25% · published 4.5
4.28
Tyler Hogan
usually #2 Doubles 67%, also #1 Doubles 33% · published
4.19
Ning Zhou
usually #2 Doubles 50%, also #3 Doubles 50% · published
4.14
Charles Triolo
usually #1 Doubles 67%, also #2 Doubles 33% · published 4.5
4.11
Jeff Ware
usually #1 Doubles 33%, also #3 Doubles 33% · published
4.09
Matthew Peterson
usually #2 Doubles 50%, also #3 Doubles 50% · published
4.02
Nick Bonkoski
usually #2 Doubles 100% · published
3.91
Daniel Taboada
usually #3 Doubles 33%, also #2 Doubles 33% · published 4.5
3.88
Jonathan Lu
usually #3 Doubles 67%, also #2 Doubles 33% · published
3.88
William Lyons
usually #2 Doubles 33%, also #3 Doubles 33% · published
3.83
Mohammed Nayeemulla
usually #1 Doubles 100% · published
3.78
Russell Chamberlin
usually #2 Doubles 50%, also #3 Doubles 50% · published 4
Brett Caban
usually #1 Doubles 100% · published
Jeffrey Pham
usually #2 Doubles 50%, also #1 Doubles 50% · published
Wiliam Summers
usually #2 Doubles 50%, also #1 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.

Abhay Singh + Jeff Ware5162% games+8.1% vs expected
Mohammed Nayeemulla + Russell Chamberlin3354% gamesnot enough data
Nick Bonkoski + Canh Ho2348% gamesnot enough data
Abhay Singh + Tyler Hogan314 matchesnot enough data
Kai Czubryt-Ogino + Canh Ho314 matchesnot enough data
Mohammed Nayeemulla + Jonathan Lu224 matchesnot enough data
Jonathan Lu + Russell Chamberlin404 matchesnot enough data
Canh Ho + Jeffrey Pham314 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.

Tyler Barr
26W–5L career · 1 line in 2024
no projection at this level
4.89
Rushi Amin
30W–28L career · 1 line in 2024
no projection at this level
4.82
Kamala Kannan
95W–54L career · 2 lines in 2024
no projection at this level
4.70
Kai Czubryt-Ogino
85W–35L career · 3 lines in 2024
<1%75%25%
4.41
4.5
Canh Ho
255W–118L career · 5 lines in 2024
1%85%14%
4.35
4.5
Abhay Singh
71W–18L career · 8 lines in 2024
1%87%12%
4.34
Tyler Hogan
43W–16L career · 3 lines in 2024
2%92%6%
4.28
Ning Zhou
65W–29L career · 4 lines in 2024
9%90%1%
4.19
4.5
Charles Triolo
44W–22L career · 3 lines in 2024
16%83%<1%
4.14
Jeff Ware
49W–37L career · 3 lines in 2024
22%77%<1%
4.11
Matthew Peterson
21W–5L career · 4 lines in 2024
26%74%<1%
4.09
Nick Bonkoski
63W–52L career · 1 line in 2024
44%56%<1%
4.02
4.5
Daniel Taboada
112W–49L career · 6 lines in 2024
73%27%<1%
3.91
Jonathan Lu
68W–26L career · 3 lines in 2024
<1%80%20%
3.88
William Lyons
87W–51L career · 6 lines in 2024
<1%80%20%
3.88
Mohammed Nayeemulla
89W–27L career · 1 line in 2024
1%87%12%
3.83
4
Russell Chamberlin
209W–118L career · 2 lines in 2024
2%92%6%
3.78
Brett Caban
7W–3L career · 2 lines in 2024
not enough data
Jeffrey Pham
9W–5L career · 2 lines in 2024
not enough data
Wiliam Summers
13W–2L career · 2 lines in 2024
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.