Teams

Manlius YMCA B

Men's Interclub · B

10 players · average NTRP 3.50 / WESTERN REGION

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Schedule3 played
2026-04-01Won 10
W#1 Male DoublesRichard Ingraham / Richard Pascarella vs Stephen Nesspor / William Osborne6-3, 6-3
2026-03-18vs Elevate Dewitt BWon 10
W#1 Male DoublesLawrence Martin / Richard Pascarella vs Tim Hayes / Michael Henty6-2, 6-3
2025-12-11Won 10
W#2 Male DoublesRichard Pascarella / Yi Zhang vs Rudolph Boleslav / Adam Ast6-0, 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 standings for B 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 3.51 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.

3.89
Richard Pascarella
usually #1 Male Doubles 67%, also #2 Male Doubles 33% · published
3.86
Lawrence Martin
published
3.63
Richard Ingraham
usually #1 Male Doubles 50%, also #1 Male Singles 38% · published 3.5
3.50
Fenghua Li
usually #2 Male Doubles 57%, also #1 Male Doubles 43% · published
3.46
Amro Mohamed
usually #1 Male Doubles 100% · published 3.5
3.41
Anthony Farella
usually #1 Male Singles 71%, also #2 Male Doubles 14% · published 3.5
3.33
James Burgess
usually #1 Male Singles 50%, also #1 Male Doubles 30% · published
3.30
Wei Lee
published
3.24
Xiwu Sun
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.

Anthony Farella + Amro Mohamed6454% games−0.3% vs expected
Fenghua Li + Wei Lee5346% games−20.1% vs expected
Fenghua Li + Xiwu Sun6070% gamesnot enough data
Richard Ingraham + Wei Lee224 matchesnot enough data
Amro Mohamed + Wei Lee224 matchesnot enough data
James Burgess + Xiwu Sun404 matchesnot enough data
Anthony Farella + James Burgess213 matchesnot enough data
Richard Ingraham + Fenghua Li213 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 Pascarella
12W–2L career · 3 lines in 2026
<1%78%22%
3.89
Lawrence Martin
10W–6L career · no lines in 2026
1%84%15%
3.86
3.5
Richard Ingraham
134W–40L career · 8 lines in 2026
<1%18%82%
3.63
Fenghua Li
63W–31L career · 14 lines in 2026
<1%51%49%
3.50
3.5
Amro Mohamed
30W–12L career · 4 lines in 2026
<1%60%40%
3.46
3.5
Anthony Farella
79W–44L career · 7 lines in 2026
<1%74%25%
3.41
James Burgess
44W–20L career · 10 lines in 2026
1%88%11%
3.33
Wei Lee
26W–19L career · no lines in 2026
2%91%8%
3.30
Xiwu Sun
8W–6L career · no lines in 2026
4%92%3%
3.24
Yi Zhang
2W–0L career · no lines in 2026
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.