Teams

YMCA 3.5

2025 18&Over Men · 3.5

14 players · average NTRP 3.40 / WESTERN REGION

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →
Schedule8 played
2025-07-19vs SYR: SFTC - WallensteinLost 02
L#1 DoublesPrashant Kaul / Xiwu Sun vs Jonathan Dee / Norifumi Urao1-6, 0-6
L#3 DoublesShing Chin / Kurt Concilla vs Kevin Garvey / Ben Weiss2-6, 2-6
2025-07-12vs Sedgwick2Won 30
W#1 SinglesPrashant Kaul vs Matthew Harvey6-1, 6-4
W#2 DoublesJames Burgess / Xiwu Sun vs William Ferguson / Dan Ferguson6-4, 6-2
W#3 DoublesShing Chin / David Panasci vs Thomas Umina / Dana Cartwright6-3, 6-4
2025-06-29vs SYR: SFTC - WallensteinLost 12
L#1 DoublesAnthony Farella / Wei Lee vs Jonathan Dee / Nathanael Kelley4-6, 4-6
W#2 SinglesPrashant Kaul vs Robert Thorpe4-6, 7-5, 1-0
L#3 DoublesShing Chin / Xiwu Sun vs Stephen Nesspor / Ben Weiss4-6, 2-6
2025-06-21vs Sedgwick2Won 20
W#1 DoublesDavid Panasci / Fenghua Li vs Matthew Harvey / JP Sabourin6-2, 6-2
W#1 SinglesJon Najarian vs Evan Prosser6-1, 6-2
2025-06-07vs SYR: SFTC - WallensteinWon 31
W#1 DoublesWei Lee / Amro Mohamed vs Kyle Voyer / Ben Weiss6-2, 6-2
W#2 DoublesYi Zhang / Xiwu Sun vs Steve Brandt / Stephen Nesspor6-0, 6-4
W#2 SinglesPrashant Kaul vs Kevin Garvey4-6, 7-5, 1-0
L#3 DoublesShing Chin / Kurt Concilla vs Jay Lee / Peter Smith1-6, 7-5, 0-1
2025-05-17vs Sedgwick2Won 30
W#1 DoublesFenghua Li / Xiwu Sun vs Philip Smith / Evan Prosser7-5, 6-0
W#1 SinglesWei Lee vs William Ferguson6-0, 6-1
W#3 DoublesPrashant Kaul / Kurt Concilla vs Dan Ferguson / Chris Gould6-3, 6-1
2025-05-03vs Sedgwick2Won 10
W#3 DoublesPrashant Kaul / Amro Mohamed vs Thomas Umina / Dana Cartwright6-3, 6-1
2025-04-26vs SYR: SFTC - WallensteinSplit 22
W#1 SinglesJon Najarian vs Kevin Garvey6-3, 6-1
L#2 DoublesWei Lee / Fenghua Li vs Bong Gee Jang / Nathanael Kelley0-6, 1-6
L#2 SinglesVaibhav Singh vs Marcus J Brooks4-6, 2-6
W#3 DoublesJames Burgess / Kurt Concilla vs Danilo Fernando / Stephen Nesspor7-5, 4-6, 1-0
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 · 3.5
TeamWLInd. WInd. LSets lostGames lost
1YMCA 3.553221840319
2Sedgwick20863470448

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 3.33 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.

3.48
Fenghua Li
usually #1 Doubles 44%, also #2 Doubles 33% · published 3.5
3.47
Amro Mohamed
usually #1 Doubles 50%, also #3 Doubles 25% · published 3.5
3.40
Anthony Farella
usually #1 Doubles 40%, also #2 Doubles 20% · published 3.5
3.37
Karl Offen
usually #3 Doubles 40%, also #2 Doubles 40% · published 3.5
3.31
Vaibhav Singh
usually #2 Singles 100% · published
3.30
Wei Lee
usually #1 Doubles 29%, also #3 Doubles 29% · published
3.28
Kurt Concilla
usually #3 Doubles 100% · published
3.26
Prashant Kaul
usually #1 Doubles 25%, also #2 Singles 25% · published
3.23
Xiwu Sun
usually #2 Doubles 40%, also #1 Doubles 40% · published
3.22
James Burgess
usually #2 Singles 43%, also #1 Singles 29% · published 3
David Panasci
usually #3 Doubles 50%, also #1 Doubles 50% · published
Jon Najarian
usually #1 Singles 100% · published
Shing Chin
usually #3 Doubles 100% · published
Yi Zhang
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.

Fenghua Li + Xiwu Sun6070% games+17.7% vs expected
Anthony Farella + Amro Mohamed6454% games+1.3% vs expected
Fenghua Li + Wei Lee5346% games−20.1% vs expected
Karl Offen + Prashant Kaul224 matchesnot enough data
Amro Mohamed + Wei Lee224 matchesnot enough data
James Burgess + Xiwu Sun404 matchesnot enough data
Shing Chin + Kurt Concilla123 matchesnot enough data
Shing Chin + Karl Offen303 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.

3.5
Fenghua Li
63W–31L career · 9 lines in 2025
<1%58%42%
3.48
3.5
Amro Mohamed
30W–12L career · 4 lines in 2025
<1%59%41%
3.47
3.5
Anthony Farella
80W–45L career · 5 lines in 2025
<1%78%22%
3.40
3.5
Karl Offen
53W–59L career · 5 lines in 2025
<1%83%17%
3.37
Vaibhav Singh
6W–4L career · 1 line in 2025
1%92%7%
3.31
Wei Lee
26W–19L career · 7 lines in 2025
1%92%7%
3.30
Kurt Concilla
26W–36L career · 4 lines in 2025
96%4%<1%
3.28
Prashant Kaul
10W–4L career · 8 lines in 2025
2%95%3%
3.26
Xiwu Sun
8W–6L career · 5 lines in 2025
4%94%2%
3.23
3
James Burgess
44W–20L career · 7 lines in 2025
<1%5%95%
3.22
David Panasci
2W–1L career · 2 lines in 2025
not enough data
Jon Najarian
6W–9L career · 2 lines in 2025
not enough data
Shing Chin
12W–22L career · 4 lines in 2025
not enough data
Yi Zhang
2W–0L career · no lines 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.