Teams

Team 11 DMV Amigos

2025 NOVA Singles · NOVA Singles 3.5 Men

11 players · average NTRP 3.50 / VIRGINIA

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 →
Schedule7 played
2025-10-26vs Team 5 Lunar Legends 3.5Lost 01
L#3 SinglesMike Ly vs Jesse Tu0-6, 1-6
2025-10-24vs Team 7 Tennis BonesLost 01
L#1 SinglesXingchang Cheng vs Nathan Chow4-6, 2-2
2025-10-10vs Team 3 Racqueeteers SinglesLost 02
L#1 SinglesTariq Haddad vs Bryan Bassig4-6, 5-5
L#2 SinglesMike Ly vs Victor Sanchez3-6, 3-4
2025-10-03Won 10
W#3 SinglesTariq Haddad vs N/A6-0, 6-0
2025-09-21vs Team 8 Dragon ballsWon 30
W#1 SinglesXingchang Cheng vs Asa Elkins7-6, 3-0
W#2 SinglesSHANE MURRAY vs Solomon Ko6-0, 7-5
W#3 SinglesJoel Sues vs Hoa Nguyen6-0, 5-1
2025-09-14vs Team 6 Tiger BalmLost 01
L#1 SinglesAli Montilla vs Kevin Conaway0-6, 1-6
2025-09-03vs Team 4 RBGCC 2025 SinglesWon 10
W#3 SinglesTariq Haddad vs Mario Levine6-2, 6-3
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 NOVA Singles 3.5 Men 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 3.24 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.

3.75
Mike Ly
usually #2 Singles 50%, also #3 Singles 50% · published 4
3.41
Ali Montilla
usually #2 Singles 50%, also #1 Singles 50% · published 3.5
3.31
SHANE MURRAY
usually #2 Singles 100% · published
3.29
Amal Desai
usually #1 Singles 80%, also #2 Singles 20% · published 3.5
3.29
Tariq Haddad
usually #3 Singles 67%, also #1 Singles 33% · published 3.5
3.29
Kazi Hassan
published 3.5
3.02
3.02
Mark Jensen
published
2.82
Alberto Zuazo
published 3
Joel Sues
usually #3 Singles 100% · published
Xingchang Cheng
usually #1 Singles 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.

Kazi Hassan + Ali Montilla5359% gamesnot enough data
Kazi Hassan + Mark Jensen224 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.

4
Mike Ly
229W–89L career · 2 lines in 2025
4%93%4%
3.75
3.5
Ali Montilla
89W–27L career · 6 lines in 2025
<1%74%26%
3.41
SHANE MURRAY
9W–12L career · 1 line in 2025
1%90%9%
3.31
3.5
Amal Desai
56W–18L career · 5 lines in 2025
2%91%7%
3.29
3.5
Tariq Haddad
10W–24L career · 3 lines in 2025
2%91%7%
3.29
3.5
Kazi Hassan
121W–48L career · no lines in 2025
2%92%6%
3.29
3.5
Anupriyo Chakravarti
0W–3L career · type S · no lines in 2025
43%56%<1%
3.02
Mark Jensen
8W–20L career · no lines in 2025
45%55%<1%
3.02
3
Alberto Zuazo
8W–4L career · no lines in 2025
1%89%10%
2.82
Joel Sues
1W–0L career · 1 line in 2025
not enough data
Xingchang Cheng
1W–1L career · 2 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.