Teams

Hit Men

2024 Montgomery Adult 18 & Over · Montgomery Adult 18 & Over 3.5 Men

14 players · average NTRP 3.50 / MARYLAND

View scouting list →
Schedule5 played
2024-06-19vs Smiles and LaughsLost 02
L#1 DoublesTony Ryan / Kevin McKeel vs Yunbing Huang / Jiqiang Ling1-6, 0-6
L#3 DoublesAlex Podpaly / Nikhil Bahl vs Luo Dong / Warren Chen2-6, 0-6
2024-05-07vs Game ChangersWon 10
W#1 SinglesAlex Podpaly vs Paul Song6-3, 6-0
2024-04-24vs Kim 3.5 18+Split 11
L#1 DoublesKevin McKeel / Tony Ryan vs Mark Tyler / Min Seo2-6, 2-6
W#3 DoublesAlex Podpaly / Steven Wolf vs Xiao Liu / Louis Fung6-2, 6-3
2024-04-08vs I'd Hit That 18+Won 10
W#2 SinglesAlex Podpaly vs Tom Norris7-5, 6-4
2024-04-04vs Blazing DodgersLost 01
L#1 DoublesKevin McKeel / David Warren vs Mario Olivero-Cabrera / Joseph Matelis7-5, 4-6, 0-1
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 Montgomery Adult 18 & Over 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 3.29 estimated across 11 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.

3.51
Dileep Nair
published 3.5
3.45
David Warren
published 3.5
3.40
Steven Wolf
published
3.30
Alex Podpaly
usually #3 Doubles 50%, also #2 Singles 25% · published 3.5
3.28
Chris Odell
published 3.5
3.28
Maury Baskin
published
3.26
Florin Iancu
published
Christopher Bragale
published 3.5
3.21
Tanzid Shams
published
3.20
Brian Krantz
published 3.5
3.15
Andrew Norris
published 3.5
3.12
Kevin McKeel
usually #1 Doubles 100% · published 3.5
Vipul Desai
published
Zaf Basha
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.

Alex Podpaly + Kevin McKeel224 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
Dileep Nair
3W–4L career · no lines in 2024
<1%48%52%
3.51
3.5
David Warren
14W–9L career · no lines in 2024
<1%64%36%
3.45
Steven Wolf
16W–8L career · no lines in 2024
<1%77%23%
3.40
3.5
Alex Podpaly
122W–91L career · 4 lines in 2024
2%91%7%
3.30
3.5
Chris Odell
7W–15L career · no lines in 2024
2%92%6%
3.28
Maury Baskin
8W–7L career · no lines in 2024
2%92%6%
3.28
Florin Iancu
29W–34L career · no lines in 2024
3%92%4%
3.26
3.5
Christopher Bragale
3W–2L career · no lines in 2024
not enough data
Tanzid Shams
5W–7L career · no lines in 2024
7%91%2%
3.21
3.5
Brian Krantz
4W–6L career · no lines in 2024
8%90%1%
3.20
3.5
Andrew Norris
2W–4L career · no lines in 2024
14%85%1%
3.15
3.5
Kevin McKeel
90W–97L career · 3 lines in 2024
21%79%<1%
3.12
Vipul Desai
5W–5L career · no lines in 2024
not enough data
Zaf Basha
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.