Teams

Montclair (Asifuddin Khadari)*

USTA Atlanta Summer - 18 & Over Men - Regular · 3.0 Men (D.C.)

11 players · average NTRP 3.17 / GEORGIA

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 →
Schedule1 played
2026-06-28vs TPC Sugarloaf (Jose Cangiano)*Split 22
L#1 DoublesMohammed Idris / Seenuvasan Kalasapakkam Sivagnanam vs Michael Stockton / Salim Merchant4-6, 6-2, 3-6
W#2 DoublesMatthew Gonzalez / Shaan Noorani vs Vikas Malhotra / Armando Perez7-5, 6-4
W#2 SinglesDev Shah vs Phong Huynh6-1, 7-5
L#3 DoublesRyan Marsh / Madhuban Chaudhary vs Jared Daye / Josh Wien2-6, 6-4, 6-7
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 3.0 Men (D.C.) 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 3.00 estimated across 8 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.

3.16
Mohammed Awaiz
published
3.12
Afzal Quadri
published 3.5
3.06
Adil Syed
published 3
3.00
Khaled Mohamed
published
2.96
Dev Shah
usually #2 Singles 100% · published 3
2.95
Shaan Noorani
usually #2 Doubles 100% · published
2.93
Seenuvasan Kalasapakkam Sivagnanam
usually #1 Doubles 100% · published
2.78
Madhuban Chaudhary
usually #3 Doubles 100% · published
Asifuddin Khadari
published
Nirav Patel
published
Seong Park
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.

Khaled Mohamed + Adil Syed3359% games+7.8% vs expected
Afzal Quadri + Khaled Mohamed4258% games+6.9% vs expected
Madhuban Chaudhary + Shaan Noorani5076% gamesnot enough data
Mohammed Awaiz + Nirav Patel4158% gamesnot enough data
Afzal Quadri + Nirav Patel404 matchesnot enough data
Afzal Quadri + Shaan Noorani303 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.

Mohammed Awaiz
15W–5L career · no lines in 2025
<1%13%87%
3.16
3.5
Afzal Quadri
12W–7L career · no lines in 2025
20%80%<1%
3.12
3
Adil Syed
7W–9L career · no lines in 2025
<1%33%67%
3.06
Khaled Mohamed
10W–6L career · no lines in 2025
<1%49%51%
3.00
3
Dev Shah
12W–5L career · 1 line in 2025
<1%61%39%
2.96
Shaan Noorani
13W–2L career · 1 line in 2025
<1%64%36%
2.95
Seenuvasan Kalasapakkam Sivagnanam
5W–5L career · 1 line in 2025
<1%68%32%
2.93
Madhuban Chaudhary
9W–9L career · 1 line in 2025
2%92%6%
2.78
Asifuddin Khadari
1W–3L career · no lines in 2025
not enough data
Nirav Patel
9W–1L career · no lines in 2025
not enough data
Seong Park
4W–5L 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.