Teams

Team 3 Who Is We?

2024 NOVA Singles · NOVA Singles 3.0 Men

11 players · average NTRP 3.58 / 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
2024-11-02vs Team 1 CourtmastersLost 01
L#1 SinglesHanlun Song vs Vishnu Chunduru4-6, 2-1
2024-10-26vs Team 4 TrailblazersWon 10
W#3 SinglesAli Montilla vs Michael Brandon6-3, 6-2
2024-10-19vs Team 2 NOVA Backhand BanditsLost 01
L#3 SinglesAli Montilla vs Juan Martinez Guzman6-7, 1-2
2024-10-14vs Team 1 CourtmastersWon 10
W#1 SinglesHanlun Song vs Vishnu Chunduru6-0, 5-5
2024-09-21vs Team 1 CourtmastersLost 02
L#1 SinglesHanlun Song vs Siva Jagadeesan6-7
L#2 SinglesMel Wesley vs Vishnu Chunduru1-6, 6-6
2024-09-13Won 10
W#1 SinglesAli Montilla vs Leonardo Pineda6-2, 6-0
2024-09-07vs Team 2 NOVA Backhand BanditsWon 10
W#1 SinglesMel Wesley vs Adnan Karimi7-5, 1-1
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 NOVA Singles 3.0 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 3.48 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.

3.96
Jesse Cebulash
usually #3 Singles 60%, also #1 Singles 40% · published 4
3.83
Hanlun Song
usually #1 Singles 80%, also #3 Singles 20% · published 3.5
3.63
Kevin Conaway
published
3.41
Ali Montilla
usually #3 Singles 67%, also #1 Singles 33% · published 3.5
3.31
SHANE MURRAY
published
3.29
Eric Grace
published
3.26
Mel Wesley
usually #1 Singles 50%, also #2 Singles 50% · published 3.5
Alexander Yang
published 3.5
Chung-Kai Hsiao
published 3.5
3.18
Mario Levine
published
Xingchang Cheng
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.

Hanlun Song + Jesse Cebulash6169% gamesnot enough data
Mel Wesley + Mario Levine033 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
Jesse Cebulash
330W–107L career · 5 lines in 2024
<1%61%39%
3.96
3.5
Hanlun Song
159W–45L career · 5 lines in 2024
<1%1%99%
3.83
Kevin Conaway
11W–3L career · no lines in 2024
<1%18%82%
3.63
3.5
Ali Montilla
89W–27L career · 3 lines in 2024
<1%74%26%
3.41
SHANE MURRAY
9W–12L career · no lines in 2024
1%90%9%
3.31
Eric Grace
16W–20L career · no lines in 2024
2%92%6%
3.29
3.5
Mel Wesley
145W–106L career · 2 lines in 2024
3%93%4%
3.26
3.5
Alexander Yang
1W–1L career · no lines in 2024
not enough data
3.5
Chung-Kai Hsiao
2W–1L career · no lines in 2024
not enough data
Mario Levine
7W–15L career · no lines in 2024
10%89%1%
3.18
Xingchang Cheng
1W–1L career · no 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.